Engineering Journal Jobs in Woodside, CA

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're seeking an Engineering Manager to build and lead the next generation of Pinterest's big data storage platform. You'll grow and guide a team working with cutting-edge open source technologies-especially Apache Iceberg-operating at exabyte scale to power the data that helps Pinners discover and do what they love.

What you'll do:

• 
  
• Own the technical vision and long-term roadmap of Pinterest's exabyte data lake storage
  
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
  
• Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges
  
• Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability
  

What we're looking for:

• 
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
  
• 2+ years of management experience, or 3+ years tech lead experience in a 5+ person team
  
• 8+ years of relevant industry experience in leading the design of large scale & production distributed systems.
  
• Deep knowledge with building distributed systems.
  
• Strong cross-functional collaborator and communicator.
  
• Strong people development skills.
  
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-AH2

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

A fast-growing robotics company is building autonomous systems designed to automate repetitive tasks within the global infrastructure and construction sector. The company’s mission is to help address workforce shortages while accelerating the development of critical infrastructure projects.

Their robotics platforms combine advanced autonomous navigation, cloud software, and intelligent field tools to improve precision and efficiency across construction environments. With a growing fleet of robots already deployed across multiple project sites globally, the company is developing the next generation of automation tools used in areas such as infrastructure development, surveying, energy projects, and large-scale construction.

The company is seeking a Full-stack Developer to design and maintain the software systems that power its robotics ecosystem — including operator dashboards, cloud infrastructure, and applications that interface with robots operating in the field.

This role will contribute to building reliable tools for mission planning, fleet monitoring, and communication between cloud systems and robotic platforms. The position involves close collaboration with robotics engineers, field operations teams, and product stakeholders to ensure the software delivers measurable impact in real-world environments.

Key Responsibilities

• Design and develop full-stack applications for device management, mission control, and fleet coordination.
• Build and maintain mobile applications used by field operators.
• Develop desktop applications used to interface with robotic systems.
• Create web dashboards and APIs for mission planning, telemetry visualization, and operational data analysis.
• Integrate cloud infrastructure for data storage, monitoring, and deployment.
• Ensure reliable communication between cloud services and deployed robotic systems.
• Collaborate with robotics, product, and field teams to deliver integrated software functionality.
• Write technical documentation for APIs, system architecture, and software modules.
• Optimize systems for scalability, reliability, and performance in field environments.
• Requirements
• Education
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

Experience

• 4+ years of professional full-stack development experience.
• Strong experience with JavaScript / TypeScript using modern frameworks such as React, Next.js, and Node.js.
• Strong UI/UX development experience using modern CSS frameworks.
• Experience building mobile applications using React Native.
• Experience developing cross-platform desktop applications.
• Production experience with cloud platforms such as AWS including APIs, storage, and deployment pipelines.
• Strong understanding of software architecture, testing methodologies, and performance optimization.
• Proficiency with development tools including Git, issue tracking systems, and CI/CD pipelines.

Soft Skills

• Strong analytical and problem-solving ability.
• Ability to collaborate effectively in a fast-paced engineering environment.
• Strong ownership mindset and communication skills.
• Preferred Qualifications
• Experience working with robotics systems or robotics middleware.
• Familiarity with real-time communication protocols such as WebSockets or MQTT.
• Experience working with IoT devices, connected hardware, or industrial systems.
• Experience working with performance-sensitive or multi-threaded applications.
• Experience with containerization technologies such as Docker or Kubernetes.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About the Company

Atomus’ mission is to provide world-class cybersecurity for the world’s most critical organizations. We build security compliance software delivered as managed services sold directly, with relevant professional services and support. Our commercial customers include hypersonic aircraft companies, satellite and space mission systems companies, AI and software companies, among many others serving primarily the aerospace and defense industry. At Atomus we are hardworking, we move fast, and we put our customers first.

About the Role

As a Business Operations Intern, you’ll play a key role in keeping our fast-moving team running smoothly—from coordinating product shipments and managing our Shopify store to planning team events and supporting the cofounders on strategic projects. We’re looking for someone who moves quickly, leans on AI tools to work smarter, and has a sharp eye for design and detail. This is a hands-on role where you’ll gain real experience across every facet of a growing cybersecurity startup.

Responsibilities

• Coordinate and manage physical shipments of security products to customers, including tracking orders, preparing packages, and communicating delivery timelines
• Help manage and maintain the company’s Shopify store, including inventory tracking, product listings, and order fulfillment
• Plan and coordinate team events and travel logistics
• Support the cofounders on a variety of strategic and operational projects as priorities evolve
• Manage office supply and snack ordering to keep the team well-stocked and happy
• Leverage AI tools and agents (e.g., Claude, ChatGPT, automation platforms) to streamline workflows and increase efficiency across tasks

Qualifications

• Currently enrolled in a Bachelor’s or Associate’s degree program at a Bay Area college or university, ideally pursuing a technical degree (e.g., Computer Science, Engineering, Information Systems, Business Analytics)
• Demonstrated proficiency with AI tools and a strong preference for using AI agents (e.g., Claude, Lovable) to get work done faster
• A good eye for design—whether it’s formatting a document, laying out a slide deck, or organizing a storefront
• Strong organizational skills and attention to detail
• Excellent written and verbal communication skills
• Comfortable managing logistics and coordinating shipments or deliveries
• Thrives in a fast-paced environment and can juggle multiple priorities with minimal direction
• Reliable, self-motivated, and able to work independently
• Ability to work in-office in downtown San Francisco 10–20 hours per week

Preferred Skills

• Interest in cybersecurity, technology, or the startup ecosystem
• Experience with Lovable or similar AI-powered app building tools
• Experience with Shopify or other e-commerce platforms
• Experience coordinating events, travel, or conference logistics
• Previous experience with shipping, logistics, or inventory management
• Familiarity with project management tools (e.g., Asana, Trello, Notion)
• Familiarity with design tools (e.g., Canva, Figma) for light creative tasks
• Previous internship or work experience in an office or operations role

Pay range and compensation package

Competitive hourly pay. Flexible scheduling around your class schedule (10–20 hours/week). Mentorship and hands-on exposure to multiple areas of a growing cybersecurity company. A collaborative, supportive team culture in a downtown San Francisco office.

Please Find Below Job Details:

Job Title: Instructional Designer

Duration: 06 months

Location: Foster City, CA

Payrate: $62/hr - $65/hr

In this role, you’ll translate complex business requirements into engaging learning solutions, collaborating closely with subject matter experts and key stakeholders. You’ll lead the design and development of impactful, measurable courses and resources that enable teams to effectively engage with and service the company’s products.

The ideal candidate brings a strong grasp of adult learning principles and a track record of creating innovative, learner-focused training.

As an Instructional Designer, you'll:

• Design educational content rooted in instructional design principles, ensuring learning objectives align with business priorities.
• Partner with SMEs and cross-functional teams to co-create dynamic curricula (classrooms, workshops, and e-learning), using AGILE methodologies for continuous improvement.
• Create interactive online learning experiences with authoring tools, focusing on clarity, structure, and collaboration with eLearning developers, while streamlining production through evolving templates and tools.
• Assess and refine training solutions for quality, scalability, and measurable impact, incorporating leader input and aligning with brand guidelines and strategic priorities.
• Facilitate planning sessions with stakeholders and synthesize feedback into clear, actionable instructional strategies; travel up to 15% as needed.

Role specifics and target candidate profile

• Follows the ADDIE methodology -Problem solving skills -Able to create a simplified training solution around complex technical concepts -Ideally has Automotive industry background, designing trainings around high voltage/electrical systems -Very independent, able to hit the ground running with minimal oversight/direction To summarize the role in a sentence: "Someone who can take a bunch of complex technical information and synthesize it so folks from various backgrounds and technical know-how can understand and learn from."

Required skills

• Qualifications 6-8 years of instructional design experience, with a focus on blended learning, OLT, ILT, and vILT. Automotive / EV / Collision industry preferred but not required.
• 2+ years of experience in the automotive industry is preferred but not required.
• Strong conceptual design skills with the ability to visualize and articulate instructional flows and learner experiences.
• Able to work independently and collaboratively in a fast-paced environment with frequent change and limited oversight.
• Strong communicator and creative problem solver who brings curiosity, clarity, and empathy to learning design.
• Experience creating learning evaluation plans. Working knowledge of eLearning authoring tools, such as Articulate 360 (Rise & Storyline), Camtasia, Vyond, Canva, and the Adobe Creative Suite.
• Bachelor's degree in Instructional Design, Educational Technology, Engineering, or related field. Portfolio of ID work samples preferred but not required

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

Our Commitment to Inclusion:

Mid-Level Technical Writer (Engineering SME)

Palo Alto, CA

Hybrid

Role Summary

The Mid-Level Technical Writer will support the development of validation test reports, test plans, procedures, and related documentation in close coordination with Auto OEM engineering teams and the Senior Lead. The role requires technical fluency and the ability to transform raw data and engineering input into clear, organized, and accurate documentation.

Key Responsibilities

• Prepare and update validation test reports based on engineering inputs and test data
• Support creation and maintenance of test plans, procedures, and setup documentation
• Organize complex technical information into structured report formats
• Work with engineering teams to ensure documentation accuracy and completeness
• Support revisions, document updates, and alignment to agreed templates and standards
• Assist in creation of diagrams, visuals, and setup descriptions as needed
• Track and manage assigned work using Auto OEM tools and workflows

Required Qualifications

• Bachelor’s degree in engineering or a related technical field
• Experience in technical writing for engineering, manufacturing, testing, or product development environments
• Ability to understand engineering concepts and translate them into well-structured technical documents
• Experience supporting documentation such as test reports, test plans, procedures, work instructions, or validation records
• Strong written communication and organizational skills
• Must be able to work in a hybrid onsite U.S. model

Preferred Qualifications

• Prior experience in automotive or EV programs
• Exposure to validation, systems engineering, hardware testing, or product verification documentation
• Experience supporting technical diagrams or setup illustrations

• Responsible for updates, upgrades and maintenance of the following systems: Rail Operations Control System (ROCS); Predictive Arrival and Departure System (PADS), Positive Train Control (PTC) back-office systems, Traction Power Supervisory Control and Data Acquisition (SCADA) System and Rail Scheduling.
• Perform Quality Assurances and system engineering support of all back off systems including PTC office systems, Back Office Server (BOS), Rail Operations Control System (ROCS), Network Management System (NMS); Interoperable Train Control Message Server (ITCMS); Wayside Status Relay Service (WSRS), and the interfaces to all other operational systems.
• Develop, document, and maintain Standard Operating Procedures (SOPs), technical standards, and best practices for all train control and related systems to ensure consistency, safety, and regulatory compliance.
• Develop and implement training programs to upskill staff, mentoring team members at all levels on train control systems, operational procedures, and project management to strengthen technical capacity, foster skill development, and ensure succession planning. 
• Ensure Caltrain systems meet Federal Railroad Administration (FRA) mandated interoperability requirements with all tenant railroads; ensure Caltrain train control systems are compatible with Association of American Railroads (AAR) standards; follow the ITC guidelines that Caltrain must maintain ?N-2? backwards compatible software versions.
• Manage complex and large-scale train control engineering projects as the Technical Lead for Caltrain. 
• Manage the work of outside contractors and assist higher level Caltrain Directors and Executives in planning and evaluating the quantity and quality of work performed by subordinate staff.
• Supervise staff.  Hire, mentor, and take appropriate corrective and/or disciplinary action.  Ensure EEO policies and procedures are followed. Participate in selection of staff.  Coordinate staff training and professional development. Establish performance objectives. Monitor and evaluate employee performance.

• Establish and maintain work relationships with internal and external stakeholders to develop consensus on capital project work plans.
• Establish schedules and methods for providing train control system engineering design services on assigned capital projects; identify resource needs; review needs with appropriate management staff; allocate resources accordingly.
• Review and approve project schedules; assist in strategic planning; prepare status reports; coordinate project resources; communicate with all project participants on relevant issues; identify and resolve train control engineering issues.
• Provide general technical oversight of railroad train control systems.
• Perform system usage and performance analyses. 
• Support Caltrain Configuration Management (CM) Manager on configuration control, prioritize system defects and corrective actions; participate in Configuration Control Board (CCB) meetings as required.
• Direct, review, and approve the preparation of train control engineering designs, drawings, and specifications; identify and resolve technical engineering issues.
• Manage technical elements of the office systems warranty and long-term maintenance support service agreements.
• Review and approve operating manuals and procedures developed by various systems providers or vendors.
• Manage all technology refresh and software upgrades/updates and associated testing without interrupting regular railroad operations.
• Establish and lead a knowledge management framework to systematically capture, update, and share institutional knowledge through structured documentation, training programs, and knowledge transfer initiatives.
• Participate in the preparation and administration of the train control engineering program budget (Operating & Maintenance, and Capital); submit budget recommendations; monitor expenditures.
• Review consultant proposals and designs; recommend awards; conduct or participate in the pre-bid conferences prior to system contract awards.
• Perform all job duties and responsibilities in a safe manner to protect one?s self, fellow employees, and the public from injury or harm. Promote safety awareness and follow safety procedures in an effort to reduce or eliminate accidents.
• Perform other duties as assigned.

Sufficient experience, training and/or education to demonstrate the knowledge and ability to successfully perform the essential functions of the position. In lieu of a degree, work-related experience that demonstrates the skills and experience necessary to perform this role will be accepted. Development of the required knowledge and abilities is typically obtained through but not limited to:

• Bachelor?s degree in electrical/electronics, computer science, or a related field.
• Five (5) years of railroad industry experience in Train Control System and SCADA system development and maintenance.
• Two (2) years supervisory experience

• Knowledge and experience with AIMCore Product/Software a plus.
• Possesses a broad interdisciplinary knowledge of supervisory train control, wayside signal, highway crossing warning system, predictive and arrival system, traffic signal control, traction power substations and distribution, SCADA, server systems, virtualized server architectures, databases, cloud server systems, networking, etc.
• Knowledge of operating systems (UNIX, Linux, Microsoft)
• Knowledge of VHF and UHF radio voice and data communications, information assurance, data security and networking technologies.
• Experience with Configuration Management and Quality Assurance Systems.
• Ability to Interpret and revise engineering plans, drawings, and specifications.
• Proficient with Microsoft Office Suite.
• Effective oral and written communication skills.

PI282632635

Head of Operations and Manufacturing Ripple Medical | California (Hybrid or Remote) | Full-Time

ABOUT RIPPLE MEDICAL

Ripple Medical is a health tech company on a mission to revolutionize hypertension management with our cuffless blood pressure wearable. Once cleared by FDA, our product will enable patients to easily and accurately monitor blood pressure at home, empowering them and their providers with actionable data to improve outcomes. We're a collaborative, mission-driven team of 33 working in a medical device regulatory environment to bring this technology to the millions of patients who can benefit.

POSITION SUMMARY

The Head of Operations and Manufacturing will own the end-to-end operational infrastructure required to bring Ripple's FDA-regulated cuffless blood pressure monitor to market and scale production. This is a hands-on leadership role for someone who thrives building from zero to one in a regulated environment: selecting contract manufacturers, standing up supply chains compliant with FDA 21 CFR Part 820, establishing ISO 13485-certified quality management systems, and preparing for direct-to-patient fulfillment.

As a company preparing for 510(k) submission and commercial launch, this role is critical to ensuring we can reliably manufacture and deliver a high-quality, FDA-cleared medical device at scale. The ideal candidate brings deep experience in medical device manufacturing (particularly wearable or electro-optical devices), understands regulated hardware supply chains and design transfer, and can roll up their sleeves while building the team and processes for long-term growth.

This position reports directly to the CEO with high visibility to the leadership team and Board of Directors.

KEY RESPONSIBILITIES

Manufacturing & Production

• Lead selection and onboarding of contract manufacturing partners with Class II medical device experience, including RFQ, quality audits, contract negotiation, and ongoing management.
• Own design transfer and manufacturing transfer, working with engineering on DFM principles, Device Master Record (DMR) requirements, and production readiness.
• Establish production planning, forecasting, and capacity management for V&V builds, pilot production, and volume manufacturing.
• Drive continuous improvement in yield, quality, and cost while maintaining FDA and ISO compliance.
• Oversee pilot runs and scale-up, including process validation (IQ/OQ/PQ) and manufacturing controls.

Supply Chain & Procurement

• Build and manage the end-to-end supply chain, including component sourcing, supplier qualification, and inventory management per FDA purchasing controls.
• Develop supplier relationships and negotiate terms while ensuring supply continuity, traceability, and risk mitigation.
• Implement inventory planning to balance working capital with service levels, including buffer strategies for Year 1 launch.
• Monitor and mitigate supply chain risks: component shortages, single-source dependencies, geopolitical factors, and logistics disruptions.

Quality & Regulatory Compliance

• Maintain and improve the ISO 13485-certified QMS in partnership with the quality and regulatory team, ensuring FDA 21 CFR Part 820 compliance.
• Support 510(k) submission activities related to manufacturing, including process validation documentation, DMR development, and device history records (DHR).
• Define incoming inspection, in-process controls, and final product testing consistent with the risk management file.
• Manage product certifications for a Class II device, including FDA registration, UDI compliance, and applicable international requirements.
• Lead root cause analysis and CAPA for quality issues, ensuring post-market surveillance compliance.

Fulfillment & Logistics

• Design the direct-to-patient fulfillment strategy, including 3PL selection with FDA-cleared Class II device experience.
• Establish logistics and distribution for nationwide shipping of a regulated device with chain-of-custody and traceability.
• Develop returns, replacement, and warranty processes that balance patient experience, cost, and compliance.

Team & Organizational Development

• Start as an individual contributor who executes hands-on, then build and lead the operations team through 510(k) clearance and commercial launch.
• Establish operational metrics and dashboards for manufacturing, supply chain, and quality performance.
• Partner with finance on cost modeling, COGS optimization, and operational budgeting.
• Collaborate cross-functionally with engineering, software, regulatory, and commercial teams.

QUALIFICATIONS

• 7-12 years in manufacturing, operations, or supply chain, with 3-5+ years in medical devices (Class II preferred), wearables, or regulated hardware.
• Experience managing contract manufacturers for regulated medical devices, preferably in Asia and/or domestically.
• Experience at or with CMs/EMS providers (Flex, Jabil, Celestica, Plexus, Sanmina) in Class II medical device or wearable programs is a strong plus.
• Track record of design transfer and scaling production from pilot to volume for regulated products.
• ISO 13485 and FDA 21 CFR Part 820 experience required.
• Familiarity with the 510(k) process and manufacturing documentation (process validations, DMR/DHR) strongly preferred.
• Bachelor's in Engineering, Supply Chain, Operations, Biomedical Engineering, or related field; MBA or advanced degree a plus.
• Based in California or travel up to 25%.

COMPENSATION

• Base Salary: $160,000 - $210,000 USD
• Performance Bonus: Tied to company milestones and personal objectives
• Equity: Early-stage stock option grant with meaningful ownership
• 100% Employer-Paid Healthcare: Medical, dental, and vision
• Additional Benefits: 401(k) with company match, flexible PTO

Overview

Ready to play a key role in building the future of living? Join Samara in tackling California’s housing shortage and enabling people to attain sustainable housing without compromising design or quality. Our flagship product, Backyard, is a fully turnkey, premium accessory dwelling unit (ADU) designed for homeowners and real estate developers. As we expand our offerings and scale our in-house development initiatives, we’re at a pivotal moment, redefining homeownership through high-quality, attainable infill housing. Backed by top-tier investors, including Airbnb, Thrive Capital, and 8VC, Samara is positioned for significant growth and market impact.

To support our next phase of growth, we’re hiring product-focused engineers to advance and scale the technical foundation of our modular system. These roles go beyond traditional design work—they refine system standards, improve factory repeatability, and ensure our units are code-compliant, manufacturable, and built to the highest standards of quality and performance.

The MEP Systems Engineer will be responsible for the detailed design and implementation of mechanical, electrical, plumbing, and PV systems tailored for modular construction building systems. This role requires a deep understanding of MEP systems combined with practical experience in modular construction. You will collaborate closely with leadership, crossfunctional design and engineering teams to integrate all technical and user experience requirements into our designs to ensure optimal functionality, sustainability, and compliance with all regulations.

What You'll Do

• Design and develop integrated MEP systems for our new and existing designs including  solar energy systems, including PV and ESS, optimized for prefabricated modular construction
• Ensure that solar and energy storage designs align with overall MEP system functionality and building energy requirements
• Lead the creation of comprehensive design documents, schematics, component material selections and system layouts, preferably using CAD and BIM software
• Provide technical leadership during the installation and commissioning phases to ensure systems meet design specifications and performance standards
• Conduct system testing and validation to ensure functionality, efficiency, and safety of both MEP and PV installations
• Collaborate closely with installation teams to facilitate seamless and efficient factory and onsite implementation of design
• Engage in research and application of the latest technologies and practices in renewable energy and modular construction
• Work with program managers and other engineering disciplines to ensure holistic integration of all systems within Samara modular units

What We're Looking For

• Modular construction experience in factory builds, multi-mod, stackable and/or other hands on related experience.
• Licensed Electrician or Mechanical Contractor -and/or- Bachelor’s degree in Mechanical, Electrical, or Energy Systems Engineering, or a related field
• Professional Engineering (PE) license preferred
• Minimum of 7 years of experience in one of the following: Mechanical, Electrical, Solar and/or Plumbing System design
• Comprehensive knowledge of building codes, safety regulations, and sustainability practices relevant to MEP and renewable energy systems
• Proficiency in design software such as Onshape, Revit, and/or other BIM methodologies preferred
• Excellent problem-solving skills and the ability to adapt designs to changing technological and regulatory landscapes
• Strong communication and leadership skills, capable of driving project decisions and managing complex stakeholder relationships
• Ability to travel to our factory in Mexico up to 25-40%.

What We Offer

• Salary range of $120-160K and performance-based bonuses.
• Hybrid work schedule with 3 days each week in our Redwood City office.
• Snacks and Lunch on in-office days
• Early stage employee equity.
• Exceptional health, dental, and vision insurance.
• 401k eligibility after 6 months.
• Flexible PTO policy.

How to Apply

If you're excited to support Samara’s mission and have the skills to match, we’d love to hear from you. Please submit your resume and a brief letter of introduction to our team.

Let’s build something extraordinary—together.

POSITION OVERVIEW

The Glazing Engineer is responsible for the completion of high quality façade, curtain wall and glazing system projects on time, within budget and within scope. This role will oversee all aspects of a project from start to finish by coordinating efforts involving the internal team, subcontractors, vendors, and owners/developers. The ideal candidate will have outstanding interpersonal skills, adjusting to changing priorities from various directives, and communicate effectively.

RESPONSIBILITIES

• Oversees the design development and coordination of custom curtain wall and glazing systems, translating architectural intent into engineered, buildable, and fully coordinated façade solutions. Capable of leading multiple projects and supervising engineers.
• Know and comply with all federal, state, local building codes, ordinances and regulations, maintaining the highest standards for safety and quality.
• Manage relationships with all internal and external parties in order to determine specifications of the project, resolve conflict, and support success.
• Establish project schedule and delegate project tasks based on staff strengths, skills, and experience.
• Secure and allocate all resources needed for the completion of the project including building permits, licenses, materials, equipment.
• Negotiate, manage and communicate changes to contract scope, schedule and costs.
• Plan and execute inspections, assess design compliance and quality, minimize risk.
• Create and maintain comprehensive project documentation.
• Regularly confer with supervisors to monitor and report on compliance, quality and productivity.
• Be a strong team leader, build synergy within and across the team, and develop individuals.

REQUIREMENTS

• Bachelor’s degree in Construction Management, Civil Engineering, Mechanical Engineering, Architecture or related field.
• Minimum of 3+ years of experience in façade, curtain wall, or glazing system engineering within a design-build or design-assist environment
• Strong understanding of building envelope design, structural behavior, waterproofing, and thermal performance
• Proficient in AutoCAD, Revit, and 3D modeling tools; familiarity with façade testing standards (ASTM, AAMA, NFRC)
• Experience coordinating with architects, structural engineers, and fabricators through design, procurement, and installation
• Skilled in technical documentation, submittal review, and field problem-solving
• Excellent communication and collaboration skills within multidisciplinary project teams
• A valid driver’s license.

This position description is a summary and not a complete representation of the position; the essential functions of the position may change as duties are assigned.

Information for Recruiters and Agencies/Staffing Firms: Build Group does not accept unsolicited agency resumes. Please do not forward unsolicited agency resumes to our website or to any Build Group employee. Build Group will not pay fees to any third-party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered the property of Build Group.

Notice to California Residents/Applicants: In connection with your application, we collect information that identifies, reasonably relates to, or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government-issued identification number(s), email address, mailing address, other contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.

Equal Opportunity Employment: Build Group provides equal employment opportunity to all employees and applicants for employment, free from unlawful discrimination based on race, color, religion, gender, age, national origin, disability, veteran status, marital status, sexual orientation, gender identity, genetic information or any other status or condition protected by local, state or federal law. This policy applies to all terms and conditions of employment, including hiring, training, orientation, placement, discipline, promotion, transfer, position elimination, rehire, benefits, compensation, retirement and termination. As an equal opportunity employer, Build Group seeks to hire employees based solely on their qualifications and abilities.

Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries.

******NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future***

Software Engineer III (Android)

Burlingame, CA - Hybrid

Long term Contract

Job Responsibilities:

• Present designs, prototypes and concepts to cross functional partners and stakeholders.
• Work collaboratively with Research, Engineering and other partners to execute and complete experiences.
• Work on a variety of coding languages and technologies.
• Implement custom user interfaces using latest programming techniques and technologies.
• Develop reusable software components for interfacing with back-end platforms.

Must-Have Skills:

• UI development across platforms (desktop + Android), including custom UI implementation with modern techniques.
• Strong software engineering fundamentals: building maintainable/testable codebases, API design, and unit testing.
• Mobile engineering (Android): Java/Kotlin + Android SDK, and ability to integrate UI with back-end platforms.
• Python knowledge.

Nice-to-Have Skills:

• iOS development (Objective-C/C++/Swift, iOS SDK/frameworks).
• Multithreaded programming + mobile memory management.
• Scripting language proficiency ( JavaScript / Hack) for tooling, infrastructure, or automation.

The Senior Estimator responsible for preparing budgets, estimates and pre- bid packages for construction projects to be built for clients under the CM at Risk guaranteed maximum pricing structure.

Responsibilities also include working with the project management team in establishing a bidders list, soliciting and evaluating subcontractor proposals and scopes of work, preparing quantity surveys and reviewing project plans and specifications for constructability and value engineering in all CSI (Construction Specification Institute) categories of work.

The Senior Estimator will supervise a team of estimators and cost engineers who support departmental and organizational goals through their efforts.

Responsibilities includes (but may not be limited to):

• Performs accurate, thorough and timely quantity takeoffs using company format, detail and coding for all MasterFormat (CSI), Uniformat and bid packages for all levels of project documents (schematic, design development and construction documents) that can be clearly understood by internal and external team members.
• Assist in developing estimates by evaluating drawings, building plans, specifications, & related documents.
• Assists in providing quantity comparison between estimate revisions.
• Prepares detailed estimate.
• Actively participates in the internal estimate review process.
• Develops accurate and concise clarifications and assumptions with the project management team’s assistance.
• Assists with final assembly of estimate for presentation to owner.
• Summarize estimate data into reports for review by executive team, clients, and design teams.
• Prepares and presents budget presentations to owners and architects.
• Leads the buyout process.
• Prepare detailed instructions to bidders, trade specific scope of work and comprehensive bid packages.
• Directs, coordinates and provides information and documents to subcontractors.
• Assist with pre-bid site walks and document existing conditions.
• Assist with subcontractor bid review and ensure scope of work is comprehensive.
• Prepare bid tallies for project team and owner review.
• Leads in the technical review of plans and specifications during the schematic design, design development and construction document phases of pre-construction.
• Assist with reviews of milestone documents to identify and communicate the development of changes to the team.
• Obtains clarification on plans and specifications from architects and engineers when necessary.
• Conducts reviews of milestone documents to identify and communicate the development of changes to the team.
• Communicates with architects and consultants to clarify scope of work, materials, and schedule requirements, and documents these clarifications.
• Demonstrate strong communication skills internally with project management team, and externally with owner, architect, engineer, and subcontractors.
• Manage individual workload to accomplish tasks within given timeframes.
• Manage other team members’ workloads to accomplish tasks within given timeframes.
• Ability to perform duties across multiple projects concurrently.
• Considers and understands problems and identifies appropriate solutions.
• Builds and maintains effective relationships with customers, design team, subcontractors, suppliers and user groups that reflect and support company core values and meets customer’s expectations.
• Attends project site pre-bid meetings, site tours and post-bid interviews as required.
• Assist and participate with pursuit interview prep and presentations.
• Develops unit costs accurately and analyzes value management analysis options.
• Develops Cost Management / Value Engineering log process and manages during the preconstruction process.
• Develops Variance Reports at milestone issuances that clearly define deltas between estimates for internal and external use.
• Develop Cost Studies in clear and concise platform for project team review and decision making.
• Develop Benchmark studies for project estimate comparison for internal review and analysis.
• Self-reliant in researching, understanding, and developing knowledge of building designs, systems, construction materials, and methods through available resources.
• Ability to teach, educate, and guide both internal and external team members.
• Provides internal database input based on current market feedback for incorporation into database.
• Leads in the training and development of cost engineers.
• Leads in the training and development of estimators.
• Provide feedback to estimate team members on work process / work product on a regular basis.
• Works closely with new hires and/or new project teams to educate them on the way of doing business based on standard forms, programs and operational standards.
• Oversees the preconstruction process with the owner’s team.
• Provides support as needed to the project management teams as needed.
• Creates projected budgets early in the design phase of a project.
• Coordinates preconstruction planning with design team, contractors and clients.
• As necessary, works with Executive Group on special initiatives, company goals and associate related training and/or programs.
• Provides input on future projects via lessons learned and continuous improvement.
• Attends project meetings with clients, the city and design team.
• Works with development or owner to coordinate the design and specifications on issues.
• Leads the pre-construction team to ensure initial budgeting represents current market pricing and quality reporting.
• Communicates with project management team, ownership, clients, subcontractors, vendors, etc. to provide quality results while mitigating project risks.
• Collaborates with VP’s towards a common goal; streamline the project delivery process, review progress of buy- out, submittals, construction schedule and performance on all projects.
• Keeps current with latest estimating technology and techniques.
• Manages project budgets for preconstruction services.
• Manage time and utilize electronic timecard software in a timely manner.
• Other duties upon request.

Qualifications:

• 10+ years of experience as Estimator / Sr. Estimator in commercial construction industry
• Bachelor’s degree in Construction Management, Construction Science, or Civil Engineering preferred but not required
• General Construction Knowledge
• Knowledgeable in civil/site construction, foundation and structural systems, interior finishes, exterior wall systems, mechanical and electrical systems and the costs of these systems
• Ability to read and interpret drawings and specifications
• General knowledge of negotiated bids, hard bids, and GMP processes
• Proficient in all estimating software programs used in preconstruction: On-Screen Takeoff (OST), Destini, Timberline, Building Connected, Assemble, Bluebeam, Power BI, BIM360, Excel, Word, MS Project
• Must possess strong verbal and written communication skills
• Strong math and analytical skills
• Attention to detail
• Organized, efficient, able to multi-task effectively, hardworking, and dedicated
• Able to thrive in a deadline-oriented, fast-paced environment
• Excellent communication skills and interpersonal skills
• Demonstrated analytical, problem solving, and both oral and written communication skills
• Enjoys being part of a collaborative team and a fun work environment
• Possess the ability to estimate all aspects of a commercial construction project, assemble into one budget and present to owners
• Must be able to operate as a “stand alone” estimator able to handle complete projects if required
• Ability to manage personnel, subcontractors, preconstruction schedules and preconstruction budgets
• Ability to mentor and coach personnel

Working Conditions:

• Duties required physical abilities such as repetitive hand and finger motion, sitting, standing, walking, as well as extending hands and arms in work areas.
• The individual is required to occasionally move around the office and constantly operate a computer and other office machinery, etc.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.

Kitchell seeks an experienced and dedicated Senior Project Manager to join our Bay Area region in San Mateo County, CA and build a long-term career at one of the most innovative and growth-oriented building companies in the United States.

Overview

Provide onsite PM/CM Services as an owner’s representative on a large Division of the State Architect (DSA) k-12 Education Market Sector program.

Responsibilities

• Providing PM/CM Consultant Services for the owner on multiple k-12 projects
• Ensures operations are executed in accordance with company project management procedures and policies
• Ensures delivery and adherence to contractual requirements and that all aspects of owner contracts are accomplished
• Manage the procurement phase and development of RFQs and RFPs
• Oversight of contracts, drawings, estimates, and specifications to ensure relation and compliance to project requirements
• Coordinate, direct, and monitor activities of contractors/subcontractors, engineers, architects, and related performing entities
• Manage project controls, cost, schedule, performance activities, and procedures required by the client
• Identifies and manages risk on the project, and advises and confers with regional executive prior to implementing risk mitigation actions
• Actively participates on internal teams that focus on continuous improvement of the company
• Ensures workplace health and safety policies and procedures are clearly communicated and understood by direct reports and enforces rules fairly and uniformly

Qualifications

Education and Experience

• Bachelor’s degree in Architecture, Engineering, Construction Management, or related discipline is preferred
• 12 or more years of experience in the Design/Engineering/Construction (DEC) industry of which a minimum of 5 years as a Project Manager is required

Knowledge and Skills

• Effective presentation skills, ability to develop and deliver presentations to the end users, stakeholders, board of education is required
• Proficient user skills with the MS Suite of tools and Bluebeam are required
• Working knowledge of standard industry tools such as P6 and Procore are strongly preferred
• Effective verbal and written communication skills to foster and maintain interpersonal relationships is required
• Provide leadership and financial management support to the project team is required

License and Certifications

• A Certified Construction Manager (CCM) credential, a Design Build Institute of America (DBIA) certification, and/or a LEED Professional Accreditation is preferred
• A valid California driver’s license and clean driving record is required

Travel Requirements

This position is performed on location at the project site in San Mateo County, CA.

Work Environment

While performing the duties of this job, the employee must regularly work in an office, an office trailer, and/or in a construction jobsite environment. Conditions regularly include exposure to outdoor elements, hot/cold temperatures, wet conditions, noise, atmospheric conditions, and cramped quarters. The noise level in the work environment is occasionally loud.

Physical Requirements

While performing the duties of this job, the employee must regularly sit, stand, walk, talk or hear and use hands to finger, feel and handle; frequently reach with hands and arms; occasionally climb or balance and stoop, kneel, crouch or crawl. Specific vision abilities required by this job include close vision, distance vision, depth perception and ability to adjust focus. Must frequently lift and or move 10 pounds and occasionally lift and or move up to 50 pounds.

ABOUT OUR COMPANY

Founded in 1950, Kitchell began as a commercial contracting business and over the years developed new talents and enterprises, acquiring complementary businesses and expertise to remain competitive. Today, Kitchell Corporation serves as the holding entity for several companies that are integral to Kitchell's core business, as well as those that operate independently. We provide a wide range of services within the built environment, including general contracting, construction management, development, facilities management, engineering, architecture, and myriad other services. Our employees manage projects from our main offices located in Arizona, California, and Texas. We offer an entrepreneurial environment that fosters personal and professional growth through in-house education programs, formal and informal mentoring, and cross-training opportunities. At Kitchell, we prioritize internal growth and building careers from within. We consistently rank among the top places to work, thanks to our tenured staff and outstanding benefits that are designed to enrich our employees’ physical, mental, emotional, and financial well-being. These benefits include company performance bonuses, discretionary stock options, incentive bonuses, health, and life insurance, health savings accounts (HSA) with wellness incentives, flexible spending accounts (FSA), 401(k) plans with a 4% company match, tuition reimbursement, weight loss programs, discounted auto insurance, identity theft protection, rewards programs, and much more.

Kitchell is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.

The annual base salary range for this role is currently $170,000 - $200,000. The Company’s salary ranges are determined by role, level, location, and alignment with market data. Individual pay is determined through interviews and an assessment of various factors, including job-related skills, relevant education and experience, abilities of the applicant and equity with other team members. The annual base salary range listed here is subject to change at any time, in the Company’s discretion, and does not alter in any way the at-will nature of the employment relationship.

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-

The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.

This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

• 
  
• Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
  
• Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
  
• Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
  
• Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
  
• Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
  
• Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
  
• Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
  
• Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
  
• Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
  

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Relocation assistance is not provided for this role.

• 
  
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
  

• 
  
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
  
• 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
  
• Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
  
• Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
  
• Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
  
• Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
  
• Proficiency in Python (primary) and familiarity with Java, Scala, or R.
  
• Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
  

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5‑10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.