Engineering Jobs in San Carlos, 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.

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:

● You will develop and maintain vehicle test plans, supporting on and off site ensuring comprehensive coverage of new site enablement features.

● You will manage test scheduling and coordination, working with vehicle operations to maximise testing efficiency.

● You will perform first-pass triage of simulation and vehicle test results, identifying issues and categorising them for engineering review and solution development.

● You will document test findings and identify opportunities to streamline processes and create reports that help autonomy engineers quickly understand test outcomes.

Qualifications

● Ability and willingness to travel for test support

● Familiarity with scripting languages (Python preferred) for automation and data analysis

● Strong organisational skills with experience managing schedules or coordinating technical workflows

● Experience with simulation environments or game engines

● Exposure to robotics, automotive, or autonomous systems

● Familiarity with version control (Git) and issue tracking systems (JIRA or similar)

● Experience with test engineering, QA, or validation processes

● Understanding of basic vehicle dynamics or motion planning concepts

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 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:

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:

Site Reliability Engineer (SRE) | San Fran Bay Area | Hybrid, 2 days in Fremont Office

We’re partnering with a technology-driven organisation modernising its infrastructure and operations. They’re hiring an experienced Site Reliability Engineer to help transition from legacy systems to modern, automated, Infrastructure-as-Code environments.

What You’ll Do

• Build automation software in Python for cloud infrastructure
• Drive Infrastructure as Code adoption using Terraform
• Implement configuration management (Ansible/SaltStack)
• Improve CI/CD pipelines, monitoring, and system reliability
• Participate in a sustainable on-call rotation

What You’ll Bring

• 3+ years’ experience in AWS and/or GCP production environments
• Strong Python and Linux skills
• Hands-on Terraform and IaC experience
• Experience with CI/CD and configuration management tools
• Collaborative mindset and interest in solving complex problems

Why Apply

• High-impact role with real ownership
• Opportunity to modernise and automate at scale
• Strong technical challenges and growth potential

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.

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.

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:

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:

Project Engineer

Location: Projects in Concord, Hayward & Chico, CA

Salary: $70,000 - $100,000 DOE

Overview

We are seeking a motivated Project Engineer to support both ground-up & rehab and multi-family residential & commercial projects across the Bay Area and Butte County regions. This role offers the opportunity to work with an established general contractor focused on delivering high-quality, community-driven developments including affordable housing and hotel facilities.

The Project Engineer will play a key role in coordinating project documentation, supporting field and office teams, and ensuring projects progress smoothly from preconstruction through closeout. This position is ideal for someone who thrives in a fast-paced environment and is committed to professional growth within the construction industry.

Must Haves

• Bachelor's degree in Construction Management, Engineering, Architecture, or a related field
• Minimum 2–3 years of experience supporting construction projects for a general contractor
• Proven experience working on multi-family residential or similar vertical construction projects
• Strong understanding of construction documents, specifications, and submittal processes
• Proficiency with project management software platforms and Microsoft Office Suite
• Ability to effectively coordinate with project managers, superintendents, subcontractors, and design teams
• Strong organizational skills with the ability to manage multiple tasks in a fast-paced environment
• Excellent written and verbal communication skills
• Ability to interpret and track RFI, ASI, and change order workflows
• Commitment to maintaining project schedules, quality standards, and safety protocols
• Authorization to work in the United States

Nice to Haves

• Experience working on affordable housing developments or hotel construction projects
• Familiarity with construction management software such as Procore, Bluebeam, or similar platforms
• Exposure to preconstruction activities, estimating, or value-engineering processes
• Understanding of California building codes and local permitting requirements
• Experience in the Sacramento or other Northern California construction markets
• Ability to assist with BIM coordination or technology-driven project workflows
• OSHA 30 certification or similar safety training

Responsibilities

• Support the project team in planning, coordinating, and executing multi-family residential and hospitality construction projects
• Review, process, and track submittals, RFIs, change orders, and related project documentation
• Assist with project scheduling, ensuring tasks and milestones remain on track
• Coordinate closely with architects, engineers, consultants, and subcontractors to maintain project continuity
• Prepare meeting minutes, logs, reports, and other project documentation as required
• Assist with site walks, quality control checks, and verification of completed work
• Support procurement processes, including materials tracking and subcontractor onboarding
• Help monitor project budgets and cost events in collaboration with project management
• Ensure all work aligns with safety standards, project specifications, and quality expectations
• Contribute to problem-solving efforts, proactively identifying and resolving project issues
• Facilitate communication between field and office teams to ensure seamless project execution

About the Company

An early-stage AI research lab focused on interpretability, alignment, and reinforcement learning is hiring a Research Engineer. Founded by former frontier-model researchers, the team works directly on model internals and training dynamics to better understand how AI systems reason. The lab runs fast experimental research cycles, building custom tools to explore open-ended questions about model behavior.

About the Role

This role focuses on building the experimental tooling that enables interpretability research. You will develop systems that allow researchers to inspect, measure, and manipulate internal model representations. This is not a production ML or MLOps role — it's for engineers who enjoy building new experimental systems from scratch and working closely with researchers.

Responsibilities

• Build custom RL-style environments and experimental testbeds for interpretability research
• Develop tools for activation tracing and mechanistic interpretability
• Implement probes to detect latent concepts (e.g., deception, goals, uncertainty)
• Prototype activation-level steering methods beyond prompting or fine-tuning
• Collaborate with researchers to rapidly iterate on experiments and tooling

Qualifications

• Strong programming skills in Python
• Experience with ML frameworks such as PyTorch or JAX
• Experience working with deep learning models or LLMs
• Strong software engineering fundamentals and ability to build experimental ML systems

Preferred Skills

• Experience in mechanistic interpretability or alignment research
• Familiarity with reinforcement learning environments
• Background working with model internals, representations, or probing methods
• Research experience (PhD preferred but not required)

Pay range and compensation package

Competitive salary, equity, and benefits.

Mechanical Engineer

We are an award-winning and innovative multi-disciplinary engineering consulting firm, has several openings for HVAC Engineers in our San Francisco CA. We work closely with architects and owners from around the world on large, complex projects with a focus on sustainability and energy performance of the built environment.

About the Job

Our Engineers work on high quality, high-profile, national and international projects. You will actively participate in the full project cycle, from the design phase through the final construction close-out. We offer excellent growth opportunities:

Many of our senior leaders started out as young engineers in our firm.

Responsibilities include

Design of air distribution systems

Design of hydronic systems

Specification writing

Scheduling and selecting major equipment

Automatic temperature controls system design and specification

Cooling/heating load calculations

Construction administration

Assist with Project Management

Attend client meetings

Requirements

• Bachelor's degree in Mechanical/HVAC Engineering
• 1-4 years experience designing mechanical systems for the built environment.
• Project experience submitted for consideration should include buildings on which you have actively participated in the project from the design phase through the final construction close-out.
• Experience of the design of HVAC systems and automatic temperature controls for a broad range of commercial systems.
• Strong working knowledge of building and energy codes
• Excellent verbal and written communication skills, with an emphasis on the ability to organize and present design information to clients.
• Special consideration will be given to those candidates who have successfully demonstrated innovative design experience specifically related to renewable energies and sustainable, high performing buildings.
• Revit experience is Highly preferred
• LEED AP is preferred

Full Benefits, 401K plan, Competitive salary, Vacation Package,

I am working with a team leveraging AI + Reinforcement Learning for accelerating Chip Design.

Most agentic research today deals with text, where feedback is subjective and ground truth is hard to find. I'm working with a Stanford spinout moving RL and post-training into chip design, an environment where physics and logic provide a strict, non negotiable ground truth.

The founding team is being built with an intentional focus on high talent density. The Head of AI, who led Trust & Safety at a Frontier Lab and worked on RL for Claude, is bringing together a small group, including a founding engineer from Augment Code, a member of xAI who worked on special projects under Elon, and peers from Superintelligence and DeepMind.

They are solving for long horizon reasoning by building agents that plan, critique, and verify their own outputs in a closed loop. The goal is to collapse the traditional 2–3 year design cycle through two main products: a licensed IP system for hardware reasoning and a \"Cursor for Verilog\" that validates its own code against real execution feedback.

They are a well funded early stage company backed by a top tier VC, with support from people like Jeff Dean and the co-founder of SambaNova. The role is in Palo Alto and comes with high ownership & scope and equity that reflects the level of trust and impact you would have.

Apply here to discover more about this opportunity.

Automation CSV Engineer (Biotech/Pharma)

Location – California Bay Area

Please note: We are only considering W2 candidates at this time. Applications from third-party vendors or C2C arrangements will not be considered.

ADVENT Engineering is an engineering and consulting firm providing expertise to the pharmaceutical and biotechnology industries. Headquartered near San Francisco, California, and with operations in the Eastern and Western US, Canada and Singapore, our company is involved in almost every facet of global pharmaceutical and biotechnology facility design and process engineering and quality system projects.

ADVENT's services include process engineering, automation engineering, project engineering, facility/system design, start up and commissioning, validation and compliance consulting for distinguished and successful biotechnology and pharmaceutical manufacturing companies.

The successful candidate will work with a group of engineers involved in the design, automation, commissioning and start-up of various processes, systems and facilities. A combination of strong technical aptitude, automation engineering skills and technical writing are the desired skill set.

This is an outstanding opportunity to join our growing team!

Position Overview

We are seeking an experienced Sr. Automation CSV Engineer to support a complex automation system migration project at a large, regulated biotechnology/pharmaceutical manufacturing site in the California Bay area. The ideal candidate will bring deep, hands-on expertise in PCS and MES system migration, validation, and implementation, with a strong preference for experience in Rockwell and PharmaSuite environments.

This role requires a senior-level engineer capable of independently executing and leading CSV and automation activities while collaborating closely with cross-functional teams.

Key Responsibilities

• Lead and execute CSV and automation activities for PCS/MES system migration projects
• Support implementation, migration, commissioning, and validation of:
• PCS systems (Rockwell, Honeywell)
• MES systems (PharmaSuite, POMSnet)
• SCADA and PLC platforms
• Author, review, approve, and execute CSV lifecycle documentation, including:
• Validation Plans
• Risk Assessments
• Test Protocols (IQ/OQ/PQ)
• Traceability Matrices
• Validation Summary Reports
• Ensure compliance with SDLC, 21 CFR Part 11, Annex 11, Data Integrity, and GAMP 5
• Manage and document software changes throughout the SDLC per site procedures
• Support programming, configuration, commissioning, and validation of Rockwell and PharmaSuite platforms
• Collaborate with automation, IT, QA, and manufacturing teams
• Support troubleshooting, root cause analysis, and deviation investigations as needed
• Communicate effectively with stakeholders at all levels

Required Qualifications

• 8+ years of experience in CSV and Automation within a regulated biotech/pharma environment
• Hands-on experience with implementation, migration, and validation of:
• PCS (Rockwell and/or Honeywell)
• MES (PharmaSuite, POMSnet)
• SCADA/PLC systems
• Strong, hands-on expertise with Rockwell and PharmaSuite (required)
• In-depth knowledge of:
• SDLC
• 21 CFR Part 11 / Annex 11
• Data Integrity
• Computerized System Validation (CSV)
• Ability to work independently and collaboratively in team environments
• Excellent verbal and written communication skills

Preferred Qualifications

• Familiarity with S88 Batch Standard
• Experience with Rockwell software object development
• MES recipe authoring and testing experience
• Experience with Kneat

Additional Information

• This position requires 100% onsite support in California
• Long-term project opportunity in a regulated manufacturing environment

Job Role: Motion Planning Autonomy Test Specialist

Job Type: Full Time

Location: Bay Area, CA

Role Overview

We are looking for a Motion Planning Autonomy Test Specialist with strong ADAS and autonomous driving experience to support vehicle-level testing and validation of motion planning features. The ideal candidate will have hands-on experience with autonomy systems, simulation environments, and vehicle testing, along with a solid understanding of vehicle dynamics and ADAS functionalities.

Responsibilities

● You will develop and maintain vehicle test plans, supporting on and off site ensuring comprehensive coverage of new site enablement features.

● You will manage test scheduling and coordination, working with vehicle operations to maximize testing efficiency.

● You will perform first-pass triage of simulation and vehicle test results, identifying issues and categorizing them for engineering review and solution development.

● You will document test findings and identify opportunities to streamline processes and create reports that help autonomy engineers quickly understand test outcomes.

Qualifications

● Ability and willingness to travel for test support

● Familiarity with scripting languages (Python preferred) for automation and data analysis

● Strong organizational skills with experience managing schedules or coordinating technical workflows

● Experience with simulation environments or game engines

● Exposure to robotics, automotive, or autonomous systems

● Familiarity with version control (Git) and issue tracking systems (JIRA or similar)

● Experience with test engineering, QA, or validation processes

● Understanding of basic vehicle dynamics or motion planning concepts

About Nucleus

Nucleus is a research-driven talent and intelligence platform for the next generation of investors, built at the intersection of data, experimentation, and community. We hire investors for some of the best firms in the world and are building the network, community, and intelligence layer around the people shaping the future of venture and company building.

The Role

This is a foundational hire working directly with the founder across research, community, events, client relationships, fellow experience, and search execution. One day you may be building cap tables. Another you may be running a mixer for 40 fellows or sitting in on a GP hiring conversation at a top firm.

The title is intentional. You will be in the room early, learning how the best firms operate and earning responsibility as you prove you can carry it. Over time you will own projects and workstreams. The starting point is proximity, pattern recognition, and high output across a wide surface area.

The founder focuses on strategy, vision, brand, community, and high-trust client relationships. Your role is to absorb the operational surface area so his time goes to the work only he can do. Nothing drops while he goes deep.

What the work looks like

• Work side by side with the founder across research, community, content, events, and client delivery
• Own the operational follow-through: prep materials, follow-ups, scheduling, and keeping workstreams moving between meetings
• Conduct research on investors and firms. Build and maintain the Nucleus Brain so the founder can go deeper on priority engagements.
• Collaborate on candidate shortlists and search materials for active client work
• Help coordinate NEXT Fellowship programming, pod logistics, and fellow experience
• Plan and execute community events: mixers, firesides, dinners, partner programming
• Draft and edit external communications: emails, proposals, partnership materials, client decks • Contribute to content across Nucleus Intelligence, Substack, social, and the Rise podcast
• Help shape brand and media presence
• Pick up whatever needs to get done so nothing falls through the cracks

Who you are

• 1 to 2 years in a high-intensity environment: investment banking, management consulting, executive search at a top firm, or an operating role at a venture-funded startup
• Genuinely curious about venture capital, the people in it, and how the industry actually works
• Technical bias. At the least, you are highly analytical by nature and can find information others can't and synthesize it clearly
• Warm, high-energy, and natural with people. You make rooms better when you walk in.
• Excellent writer with a tight, dense style
• Comfortable with ambiguity and context-switching in a fast-moving, founder-led environment
• Based in San Francisco or NYC. Remote will be considered. Must be in the US and be willing to travel.

Why this role

You will have a front-row seat to how the best venture firms operate, hire, and think about talent. You will build relationships with builders, investors, LPs, and emerging managers that most people spend years trying to access. And you will help build a company from the ground floor with real revenue, real clients, and a vision that extends well beyond search.

Promotions follow ownership and output, not tenure. We stay intentionally lean. Earn it, and the path to real ownership is short.

Compensation

Base: $120-180k DOE

Bonus eligible day one

Profit sharing with meaningful upside as the business grows

DM alexklein0x on X for the fastest reply. Will check LinkedIn weekly.

Enterprise Account Executive – Security & IT AI Automation Platform

Salary: $150,000–$165,000 base, Double OTE plus attractive equity and corporate benefits including healthcare and 401k

Extremely well-funded by Tier 1 Cyber Investors - Unicorn Valuation

Location: Bay Area, North California

Trident Search is partnering with a fast-growing, enterprise-focused SaaS company that’s redefining workflow automation for security, IT, and operations teams. The platform empowers teams to eliminate repetitive tasks, orchestrate complex workflows across any tool, and leverage AI to work smarter, faster, and more efficiently.

Great Glassdoor, Gartner peer reviews scores and various G2 awards.

The Role

We are seeking a high-performing Enterprise Account Executive based in California to land and grow new enterprise accounts. This is a full sales-cycle SaaS sales role where you will engage senior stakeholders, manage multi-touch deals, and drive new business across mid-market and large enterprise clients.

Why This Role is Exciting

• Partner-driven growth: 90% of 2024 deals were partner-sourced or influenced.
• High conversion and retention: 90% POC to deal conversion rate with strong customer retention.
• Fast ramp & huge earning potential: 9-month ramp schedule plus 3 month non recoverable draw. Average global sales attainment: +80%—well above market norms, with some huge performers earning 2x OTE.

Responsibilities

• Identify, prospect, and close new enterprise business opportunities across Northern California (Bay Area).
• Manage the full sales cycle, from discovery calls and demos to contract negotiation and closure.
• Build strong relationships with senior stakeholders, including security, IT, and operations executives.
• Execute strategic territory plans in collaboration with marketing, solutions engineers, and customer success teams.
• Accurately forecast pipeline and revenue; track all sales activities in Salesforce CRM.
• Represent the company at industry events, conferences, and partner engagements.
• Build and leverage relationships with regional and national channel partners to drive sales.

Requirements

• 5–10 years of enterprise SaaS sales experience, ideally in security, IT operations, or automation.
• Proven ability to execute complex, multi-stakeholder sales campaigns.
• Demonstrated track record of consistently exceeding quotas.
• Strong consultative selling skills and ability to engage with C-level executives.
• Self-motivated, results-driven, and collaborative, with high professional integrity.
• Experience with Salesforce and modern sales engagement platforms.
• Experience working with relevant channel partners.

Trident Search builds GTM teams across the U.S. for VC- and PE-backed cybersecurity vendors.

Connect with me today:

Holly Evans

About DepthFirst AI

We believe that software is the foundation of modern civilization - yet vulnerabilities threaten its integrity, security, and resilience. We are on a mission to solve security.

DepthFirst is building intelligence to detect and remediate critical software vulnerabilities. We are training and scaling security AI agents to discover zero-days vulnerabilities, from large customer codebases to popular open source software.

Our founding team includes expertise in security and LLMs (with technical leaders from DeepMind, Databricks, Square, and Faire). We are looking for strong technically-minded people who are interested in working at the intersection of AI, Security and Infrastructure.

About this role:

We’re seeking an experienced Account Executive to lead the charge in building DepthFirst’s sales and account management team. This newly created role puts you at the helm of DepthFirst’s most strategic enterprise accounts—owning customer success, account expansion, and meaningful business outcomes.

You’ll partner directly with senior leaders in Security and Engineering and influence how leading global enterprises build their security systems in the age of AI, with your impact measured by strong Net Revenue Retention through renewals, retention, and targeted growth.

You’re excited about this role because you will…

• Manage and grow a portfolio of DepthFirst’s most strategic enterprise accounts across the globe.
• Develop and execute account strategies that drive long-term customer loyalty and unlock new business value.
• Build strong, multi-level relationships with C-suite executives and senior stakeholders.
• Collaborate cross-functionally with Customer Success, Solutions Engineering, and Channel teams to identify and realize expansion opportunities.
• Help customers integrate security seamlessly into fast-moving, AI-driven development workflows.
• Provide strategic customer insights to Product Management to influence product direction and priorities.
• Drive measurable results through targeted, outcome-focused account growth plans.

Qualifications

• 5+ years of enterprise account management experience in technical SaaS - owning large, complex accounts.
• Proven success in driving outstanding Net Revenue Retention through renewals, retention, and strategic account growth.
• Skilled at engaging and influencing C-level executives within complex, matrixed organizations.
• Deep expertise in Cybersecurity, DevOps, DevSecOps, or enterprise software account leadership.
• Comfortable operating in high-growth, fast-paced environments, with a track record of building new strategies, functions, or approaches from the ground up.
• Strong collaborator with the ability to align cross-functional teams around customer outcomes.

What We Offer

• Competitive Salary with generous equity
• Health and Dental Insurance
• Office lunch (when working out of San Francisco office)