Engineering Structures 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.

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.

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#LI-EB1

Our Commitment to Inclusion:

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.

• 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

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.

About Keyfactor

Our mission is to build a connected society, rooted in trust, with identity-first security for every machine and human. Keyfactor helps organizations move fast to establish digital trust at scale - and then maintain it. With decades of cybersecurity experience, Keyfactor is trusted by more than 1,500 companiesacross the globe. We are proud to continually earn recognition as a Best Place to Work, and we achieve that through our amazing people who cultivate our culture as we grow. We hope you will trust your future with Keyfactor!

Job Title: Support Engineer, Tier 3

Location: United States; Remote, MST or PST

Experience: Senior Level

Job Function: Support

Employment Type: Full-Time

Industry: Computer and Network Security

Job Summary

The Support Engineer, Tier 3, functions as a senior individual contributor responsible for resolving the most complex and high-impact technical issues. This role provides technical leadership across the support organization, partners closely with Product and Engineering teams, and drives systemic improvements that enhance product stability, support effectiveness, and customer outcomes.

Applicants must hold US citizenship or US permanent resident status.

Job Responsibilities

Advanced Technical Resolution

• 
  
• Independently resolves critical, complex, and high-severity customer issues, including those with broad operational or customer impact.
  
• Serves as an escalation point for advanced technical issues, applying deep diagnostic expertise across multiple technical domains.
  
• Proactively identifies and addresses issues prior to customer or executive escalation.
  
• Reproduces customer issues in lab or test environments to validate root cause and confirm resolution.
  
• Builds and maintains lab environments used for advanced troubleshooting, validation, and technical enablement.
  

Subject Matter Expertise

• 
  
• Acts as a senior subject matter expert for assigned Keyfactor products, including Command and/or EJBCA.
  
• Provides expert-level guidance on PKI, cryptographic concepts, compliance considerations, and secure deployment practices.
  
• Applies broad domain knowledge to diagnose complex, non-routine issues across infrastructure, application, and security layers.
  
• Contributes technical insight related to emerging risks, architectural considerations, and support readiness.
  

Knowledge Sharing & Enablement

• 
  
• Mentors and provides technical guidance to support engineers across all tiers.
  
• Identifies knowledge gaps through case analysis and operational data and contributes to targeted training and documentation.
  
• Develops and maintains technical documentation, ensuring accuracy, clarity, and alignment with internal standards and industry best practices.
  
• Promotes consistent knowledge sharing to improve overall team capability and reduce recurring issues.
  

Systemic Improvement & Cross-Functional Collaboration

• 
  
• Identifies recurring issues and systemic deficiencies and leads efforts to implement long-term corrective actions.
  
• Partners with Product, Engineering, and Support leadership to address root causes and improve product and support processes.
  
• Provides technical input that informs product quality, platform stability, and support scalability.
  
• Represents customer impact and operational risk during cross-functional discussions and incident reviews.
  

Customer & Incident Management

• 
  
• Manages high-profile customer escalations and outages with professionalism, technical rigor, and clear communication.
  
• Communicates complex technical findings and recommendations to both technical and non-technical stakeholders.
  
• Maintains accountability for case progression, resolution quality, and documentation accuracy.
  

Minimum Qualifications, Education, and Skills

• 
  
• 3+ or more years of advanced technical support experience or demonstrated equivalent expertise in PKI or related security technologies.
  
• Demonstrated depth of expertise in one or more technical domains required to support Keyfactor products.
  
• Advanced knowledge of Windows Server and/or Linux, including IIS, ADFS, WAP, and Active Directory.
  
• Strong expertise in PKI, ADCS, certificate lifecycle management, and cryptographic principles.
  
• Proficient in SQL database analysis, including complex queries and table structure evaluation.
  
• Strong understanding of networking concepts, including firewalls, load balancers, and proxy configurations.
  
• Experience with cloud platforms such as AWS and/or Azure.
  
• Expertise in containerization and orchestration technologies (Docker, Kubernetes).
  
• Demonstrates strong verbal and written communication skills with the ability to convey complex technical information clearly and professionally.
  
• Maintains a high standard of customer focus and operational accountability.
  
• Capable of identifying root causes of complex issues and articulating clear, actionable resolutions.
  

Compensation

Salary will be commensurate with experience.

Culture, Career Opportunities and Benefits

We build teams that continually strive to get better than the day before. You will be challenged daily and given opportunities to grow personally and professionally. We balance autonomy and structure to create an entrepreneurial environment to spur creativity and new ideas.

Here are just some of the initiatives that make our culture special:

• 
  
• Second Fridays (a company-wide day off on the second Friday of every month minus November and December of 2025 due to the Holiday schedule). Please note that this benefit is subject to change.
  
• Comprehensive benefit coverage globally.
  
• Generous paid parental leave globally.
  
• Competitive time off globally.
  
• Dedicated employee-focused ambassadors via Key Contributors & Culture Committees.
  
• DIVERSE Commitment, a call to action for a more inclusive and diverse future in business, society, and technology.
  
• The Keyfactor Alliance Program to support DEIB efforts.
  
• Wellbeing resources, wellness allowance, mindfulness app free membership, Wellness Wednesdays.
  
• Global Volunteer Day, company non-profit matching, and 3 volunteer days off.
  
• Monthly Talent development and Cross Functional meetings to support professional development.
  
• Regular All Hands meetings - followed by group gatherings.
  

Our Core Values

Our core values are extremely important to how we run our business and what we look for in every team member:

Trust is paramount.

We deliver security software and solutions where trust and openness are of the highest importance for our customers. We are honest and a trusted partner in every aspect of business.

Customers are core.

We strategize, operate, and execute through a customer-centric view. We prioritize the security interests of our customers, and we act as if their data were our own.

Innovation never stops, it only accelerates.

The speed of change is accelerating. We are committed, through investment and focus, to stay ahead of the innovation curve.

We deliver with agility.

We thrive in high-paced and continually changing environments. We navigate through newly added variables, adjust accordingly, while driving towards our strategic goals.

United by respect.

Respect for all is what unites us. We promote diversity, inclusivity, equity, and acting with empathy and openness, both in our business and in our communities.

Teams make "it" happen.

Vision and goals are not individually achievable - they require teamwork. We pride ourselves in operating as a cohesive team, creating promoters and partners, and winning as one.

Keyfactor is a proud equal opportunity employer including but not limited to veterans and individuals with disabilities.

REASONABLE ACCOMMODATION: Applicants with disabilities may contact a member of Keyfactor's People team via and/or telephone at to request and arrange for accommodations at any time.

Keyfactor Privacy Notice

Process Engineer – New Product Introduction (NPI)

Location: San Carlos, CA

Employment Type: Full-Time, Direct Hire

Work Arrangement: 100% Onsite

About the Role

We are seeking an experienced Process Engineer – NPI to join a fast-growing advanced manufacturing organization. This role is critical in scaling innovative processes from prototype to high-volume production, enabling successful product launches in industries such as EV, energy storage, and aerospace.

You will work hands-on with cutting-edge technologies and collaborate across engineering and customer-facing teams to bridge the gap between concept and manufacturability.

Key Responsibilities

• Scale processes from prototype to high-volume manufacturing, driving yield, throughput, and cost efficiency.
• Design, implement, and validate manufacturing processes for scalability and reliability.
• Build and qualify first articles; ensure readiness for customer and internal validation.
• Conduct structured experiments and root cause analysis to de-risk scale-up.
• Develop process documentation and train staff for smooth transition to production.
• Work directly with advanced materials and high-volume manufacturing methods.

Qualifications

• Bachelor’s degree or higher in Materials Science, Physics, Chemical Engineering, Chemistry, or related field.
• 7+ years of hands-on experience in process engineering.
• Proven track record of scaling processes from prototype to production.
• Strong background in manufacturability, yield improvement, and cost reduction.
• Familiarity with advanced manufacturing methods (vacuum lamination, thermally-activated adhesives, roll-to-roll processing, material patterning, laser welding).
• Proficiency in statistical analysis and tools (JMP, Minitab).
• Ability to troubleshoot custom manufacturing and metrology equipment.
• Adaptability to fast-paced start-up environments.

Work Environment

• Onsite role in a dynamic start-up setting.
• Physical ability to lift up to 50 lbs.
• Exposure to manufacturing environments; PPE required.

Title: Project Manager III

Duration: 9 Months

Work Location: US-CA-MPK (Hybrid – 3x in office)

About the Role

Summary

The main function of a non-IT project manager is to plan, direct, or coordinate activities in fields such as engineering, research and development, financial systems, product roll-out, or other non-IT based projects.

Job Responsibilities

Project Execution

Structure, lead and execute complex finance projects and programs while collaborating effectively with cross-functional teams globally.

Project Documentation & Coordination

Own, define, and maintain project documentation to ensure transparency, clarity of objectives, and consistent alignment of project deliverables.

Risk Management

Proactively manage risk, anticipate potential issues, and implement mitigation strategies to meet timelines, budget, and objectives. Work with the business to resolve critical issues.

Process & Automation Support

Ensure underlying processes are fit for purpose, identify changes required to support project objectives, and lead process mapping, documentation, and updates.

Change Management

Identify change impact and incorporate readiness, adoption requirements, communication, and planning within project plans. Collaborate with designated Change SMEs when required.

Communication & Support

Maintain effective communication channels, status updates, and communication plans.

Skills Required

• Strong verbal and written communication skills
• Problem solving skills
• Attention to detail
• Interpersonal skills
• Ability to work independently and manage time effectively
• Understanding of finance business functions and ability to support execution strategies of assigned finance functions

Top 3 Must-Have Skills

1. Stakeholder communication – collaboration across teams
2. Project management experience
3. Finance knowledge – familiarity working with finance teams

Nice-to-Have Skills

• Experience working with engineering teams

Degrees / Certifications

• PMP / PMI / PMI-CPMAI Program Management or similar qualifications
• PROSCI or similar qualifications
• Preferred: Bachelor’s Degree

Red Flags / Disqualifiers

• Project managers who are actually process managers (projects led are only process improvements)
• Project managers who did not lead projects themselves but were SMEs on a project

Day-to-Day Responsibilities

End-to-end project execution.

About the Team

The Modern Finance team is a key enabler of the company’s finance vision, acting as a catalyst for innovation, productivity, and enhanced employee experiences. The team executes key projects and programs to deliver strategic priorities for Finance stakeholders across the business.

Senior Machine Learning Engineer (GenAI and Agentic Systems)

Location: Palo Alto, CA (Hybrid )

Role Type: Full-Time / Permanent

Summary

Our client, a pioneering HealthTech AI firm in the Bay Area, is seeking a high-calibre Senior Applied AI Engineer to bridge the gap between advanced Machine Learning and robust Software Engineering. This is an end-to-end ownership role: you will be responsible for designing the logic, building the architecture, and deploying the final services.

Core Responsibilities

• Architect AI Workflows: Design and implement sophisticated agentic workflows and automation sequences that power clinical decision-making.
• System Design & Integration: Build the backend infrastructure, scalable REST APIs, and data services required to support high-concurrency AI applications.
• Rapid Deployment: Maintain a high-velocity shipping cycle, moving from prototype to production-grade implementation in days.
• Model Orchestration: Select, fine-tune, and evaluate the performance of various LLMs (including OpenAI, Anthropic, and open-source models) for specific healthcare tasks.
• Full-Stack ML: Own the pipeline from data ingestion and time-series forecasting to real-time classification and model monitoring.

Technical Profile

• Computer Science Mastery: Expert knowledge of algorithms, data structures, and distributed systems.
• Software-Heavy Background: Professional-grade Python skills. You should be comfortable with software design patterns, testing, and CI/CD.
• Machine Learning Fundamentals: * Deep understanding of Core ML topics: classification, regression, and clustering.
• Specific experience in Time Series Forecasting and temporal data analysis.
• Proficiency in Generative AI: RAG architectures, prompt optimization, and agent frameworks.
• Infrastructure: Experience deploying services to cloud environments (GCP preferred) and a solid grasp of MLOps and pipeline automation.
• Education: BS in Computer Science or related field + 4 years of experience, or an MS + 2 years of experience.

Cultural Fit

• Startup Agility: You possess the "scrappiness" to solve problems with limited resources but the rigor to ensure those solutions are enterprise-grade.
• The "Generalist" Mindset: You enjoy working across the entire stack and are not afraid to dive into data engineering or infrastructure when needed.
• Mission-Oriented: You are motivated by the prospect of using AI to significantly improve patient outcomes and healthcare efficiency.

What’s Offered

Our client provides a highly competitive package, including a strong base salary, meaningful equity, and comprehensive premium healthcare benefits. You will join a world-class team of engineers in a collaborative, hybrid environment.

Heavy Civil Estimator

When joining GSW Construction, Inc., you will be a part of a fast-paced construction team that strives for excellence. We are actively seeking an experienced Heavy Civil Estimator. The purpose of this role is to contribute to the success and profitability of projects by providing accurate, timely, and complete estimates. The Estimator will be responsible for calculating the cost of a broad range of projects. The goal is to provide accurate information to help in operations and strategic planning, perform quantity takeoff s, produce proposals, and prepare cost estimates.

Job Details: Full-time position

● Benefits: o Salary Employee (Schedule: Full-time with some required travel and weekend availability.) o 401(k) o OE3 Health & Dental Insurance o Paid Vacation o Salary DOE Essential Duties & Responsibilities

● Perform quantity take off s/reach out to potential subcontractors

● Analyze and compile estimate data that impact the cost of labor, materials, equipment requirements, location, and other factors to ensure a high-quality and timely estimate.

● Accurately prepares estimates. Review proposal specifications and drawings to determine scope. Determines the required contents of estimates and evaluates historical data to project man-hour data.

• Produce budgets from conceptual and schematic design phases that align with the organization's goals and strategy • Review drawings, specifications, and proposed project site conditions; record findings and solicit input from field operations to include in the final project estimate.

● Analyze alternative solutions and construction methods to increase the competitiveness of the bid.

● Apply mathematical calculations requiring advanced analytical processes to ensure logically estimated costs are accurate.

● Present estimate content in bid reviews with senior management to ensure accuracy and completeness. ● Communicate with owners, subcontractors, and public and private entities to ensure competitiveness.

● Develop and maintain business relationships to increase bid opportunities in the regional market.

● Participate in and lead discussions, catalyzing creative thinking and innovative ideas, and distinguishing a successful estimate.

Qualifications & Requirements

● Bachelor’s degree in civil engineering, Construction Management, or equivalent experience.

● 5+ years’ experience in heavy civil construction, emphasizing underground utilities, sewer/stormwater pump stations, WWTP/WTP work, heavy highway, bridges/concrete structures, and commercial/residential site work arena.

● Proficient in HCSS Heavy Bid

● Negotiated project experience preferred, including technical writing skills.

● Proficiency with all MS Office products (Word, Excel, PowerPoint, etc.)

● Advanced knowledge of civil engineering principles ● Advanced knowledge of construction principles and equipment capabilities

● Excellent interpersonal and communication skills. Specific Job Requirements:

● Knowledge of project management software and estimating software.

● Working knowledge of construction equipment, materials, techniques, and required standards applicable to the discipline.

● Successful completion of a pre-employment drug, alcohol, and background investigation.

● Valid Driver’s License.

● Current on all company-required safety training.

● Competence to maintain confidential information and avoid conflicts of interest.

● Adherence to the GSW Employee Handbook.

Notice to All Potential Job Candidates GSW Construction, Inc. is proud to be an equal-opportunity workplace. Individuals seeking employment at our company are considered without regard to age, ancestry, color, race, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, sexual orientation, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, religion, military or veteran status, or any other characteristic protected by federal, state, or local laws. Applicants must be authorized to work in the United States.

Technical Lead / Platform Engineer

GenAI Healthcare SaaS Platform

Palo Alto, CA (Hybrid – 3 days onsite)

About the Role

We’re building a next-generation generative AI platform purpose-built for healthcare — and we’re looking for a hands-on Technical Lead to help architect and scale it from the ground up.

This is not a “manage from a distance” role. You’ll be deeply involved in system design, writing production code, guiding engineering direction, and making foundational technical decisions that shape the future of the platform. You’ll work closely with leadership and product to turn complex healthcare AI requirements into scalable, reliable infrastructure.

If you’ve led engineering efforts for production-grade AI systems and enjoy building high-performance teams and platforms, we’d love to talk.

What You’ll Own

• Architect and evolve the core infrastructure for a scalable AI-powered SaaS platform
• Lead development of backend services and ensure clean integration across systems
• Write high-quality, maintainable code with long-term scalability in mind
• Establish engineering best practices across architecture, CI/CD, monitoring, and DevOps
• Guide and mentor engineers while maintaining a strong individual contributor presence
• Define infrastructure automation strategies (IaC, provisioning, deployment workflows)
• Drive performance, reliability, and observability standards
• Partner with product and leadership to translate vision into executable technical milestones

What We’re Looking For

Core Experience

• 8+ years building and shipping production software
• Prior experience leading engineering initiatives or managing technical direction
• Proven track record scaling a generative AI system or AI-enabled platform in production
• Strong backend engineering background in Python
• Additional proficiency in TypeScript or Java
• Experience with a modern compiled language such as Go or Rust
• Deep knowledge of microservices architecture and RESTful API design
• Hands-on expertise with one major cloud provider (AWS, GCP, or Azure)
• Strong experience with Infrastructure as Code (Terraform preferred)
• Advanced DevOps knowledge: CI/CD, automated deployments, monitoring, alerting
• Experience containerizing and orchestrating services with Docker and Kubernetes

Leadership & Execution

• Comfortable setting technical direction while staying hands-on
• Strong communicator who can explain complex systems clearly
• Experience mentoring engineers and elevating engineering standards
• Ability to operate in a fast-moving, startup environment

Nice to Have

• Experience building or deploying ML/AI systems (TensorFlow, PyTorch, etc.)
• Strong GCP background (bonus if you’ve worked across AWS/Azure as well)
• Familiarity with frontend frameworks like React, Angular, or Vue
• Experience working in healthcare, health tech, or regulated industries

Work Environment

This role is based in Palo Alto with a hybrid schedule (3 days per week onsite). We provide daily meals and foster a collaborative, high-performance engineering culture.

Compensation & Benefits

• Base salary range: $220,000 – $280,000, depending on experience and location
• Meaningful equity package
• Medical, dental, and vision coverage
• Flexible hours
• Hybrid work environment
• Opportunity to help shape the future of AI in healthcare

If you're excited about building a production-grade AI platform that directly impacts patient outcomes — and want to help define the technical foundation of a category-defining company — let’s talk.

Lead Engineer (Foundry)

We’re seeking a Lead Engineer / Senior Lead Engineer to join a rapidly growing, vertically integrated real estate investment and operating platform. This role sits at the intersection of technology, operations, and investment strategy and is designed for an engineer who wants to build software that directly impacts business performance.

Unlike traditional engineering roles, this position is deeply embedded with Asset Management, Property Operations, and Construction teams. You’ll work closely with executive leadership and business users to design, deploy, and iterate on software solutions that improve NOI, reduce costs, and enhance portfolio performance. This is a hands-on builder role. You will write code, automate workflows, integrate data pipelines, and build dashboards—working shoulder‑to‑shoulder with the teams using the tools you create.

Salary & Benefits

• Base Salary Pay Range: $120k-$145k per year
• Discretionary bonus BOP after 1 year of service
• Paid Time Off (starting at 10 days + 2 floating holidays / 96 Hours, accrued)
• A flexible health plan offering medical, dental, and vision benefits
• 401(k) Savings Plan

Responsibilities

Embed With Business Teams

• Work day‑to‑day with property managers, asset managers, and finance teams
• Identify operational inefficiencies, data gaps, and workflow breakdowns

Rapid Prototyping and Deployment

• Design and build scripts, dashboards, automations, and integrations
• Deliver practical tools that solve problems in real time

Systems Integration

• Connect platforms such as property management systems, ticketing tools, analytics platforms, spreadsheets, and custom databases into unified workflows

Operational Analytics

• Build models for rent roll forecasting, delinquency tracking, CapEx planning, and maintenance cost monitoring

AI and Automation

• Apply AI to summarize tenant communications, flag high‑risk accounts, and optimize leasing and maintenance workflows

Outcome Measurement

• Track and report the business impact of solutions, including response times, collections, and cost efficiency

Cross‑Functional Leadership

• Serve as a translator between investment professionals and technical stakeholders
• Ensure solutions are scalable, practical, and aligned with business priorities

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Engineering, or a related field
• 3+ years of experience in software engineering, data engineering, or applied analytics
• 1+ year of hands‑on experience with Palantir Foundry or Gotham
• Strong SQL and Python skills; experience with APIs and ETL pipelines (PySpark a plus)
• Excellent analytical and problem‑solving skills
• Strong communication skills with the ability to explain technical concepts in business terms

Key Skills and Competencies

• Clear, articulate communicator with strong documentation habits
• Highly analytical with strong qualitative judgment
• Able to prioritize effectively and meet deadlines
• High standards of excellence and ethics
• Comfortable identifying issues and driving solutions independently
• Strong critical thinking and decision‑making abilities
• Naturally inquisitive; asks the right questions and challenges assumptions
• Goal‑oriented, diligent, and execution‑focused

Equal Opportunity Employer/Veterans/Disabled

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• The California Fair Chance Act

• Los Angeles City Fair Chance Ordinance

• Los Angeles County Fair Chance Ordinance for Employers

• San Francisco Fair Chance Ordinance