Engineering Jobs in Emerald Hills, 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:

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:

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,

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:

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.

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)

At Infoblox, every breakthrough begins with a bold “what if.”

What if your ideas could ignite global innovation?

What if your curiosity could redefine the future?

We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it’s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500, and we’re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold “what if” can take the world, your community, and your career.

Here, how we empower our people is extraordinary: Glassdoor Best Places to Work 2025, Great Place to Work-Certified in five countries, and Cigna Healthy Workforce honors three years running — and what we build is world-class: recognized as CybersecAsia’s Best in Critical Infrastructure 2024 —evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? Become the force that turns every “what if” into “what’s next”.

In a world where you can be anything, Be Infoblox.

Channel Account Manager - WEST Region

We are looking for a Channel Account Manager in the Bay area to join our Partner Sales team supporting Northern California, Pacific Northwest, and West Canada. In this role, you will build a pipeline that translates into channel revenue with some of the most respected and high-performing partners in the industry. In this high-energy position, you will be extremely results-driven—with the expectation to create and qualify partner-initiated opportunities. This role is critical to the ongoing success of Infoblox’s leading network control, security, and cloud solutions. This is an exceptional opportunity to join a growing and innovative organization Infoblox allows you to thrive in a unique work environment that emphasizes career growth, excellence, innovation, and collaboration.

Be a Contributor — What You’ll Do

• Build and champion Channel development and revenue plan consistent with the overall revenue and growth targets for Infoblox's West region.
• Ensure alignment of the strategy with the Sales teams by understanding their coverage models, strategies, and focus in the areas of target accounts, verticals, geography, and market coverage
• Ensure senior executive-level visibility and commitment to the company’s relationships
• Spearhead the joint company and channel value proposition with partner peering—coordinating resources, including sales and cross-functional teams
• Leverage cloud service provider (CSP) relationships such as Azure, Google Cloud Platform and AWS to drive engagement through cloud marketplaces to enhance joint opportunities and strategic alignment.
• Coordinate training on new products, solutions sales, corporate direction, business processes, etc., leading to enhanced self-sufficiency and winning mindshare and cycles from competitive vendors
• Drive joint opportunity development activities with channel partners through account mapping, marketing activities, coordination of marketing budget, and utilization of Infoblox channel marketing programs
• Manage deal registration, forecast, and pipeline with channel partners and coordinate partner engagement and sales activities
• Be keenly aware of the channel partners’ strategy and be viewed and treated as a trusted and valued resource for them
• Create a sense of engagement and connection at the executive, regional sales, and SE levels

Be Prepared — What You Bring

• At least 10 years of technology vendor experience (networking and security experience highly preferred) selling into the channels. Experience in business development or driving revenue and opportunity is a must
• SaaS and/or managed services (MSP) sales experience is a plus
• Familiarity with cloud marketplaces and experience leveraging relationships with cloud service providers (AWS, Azure, and Google Cloud Platform) is a strong plus
• Experience engaging partners with the company, brand, and technology through education and bespoke programs and initiatives is a plus
• High energy level and the ability to thrive in a fast-paced, dynamic environment
• Ability to cultivate relationships internally, externally, and across teams, as well as the ability to align and bring stakeholders together to drive mutually beneficial outcomes
• Strong network of customers and partners in the specified region or vertical
• Excellent communication and interpersonal relationship development skills
• A self-starter attitude and excellent know - how
• High energy level and the ability to thrive in a fast-paced, dynamic environment
• Bachelor’s degree or equivalent

Be Successful — Your Path

First 90 Days: Immerse yourself in our culture, connect with mentors (Blox Buddies), and map the systems and meet with key stakeholders that rely on your work. Discuss and create short/long term goals.

Six Months:

• Have a deeper understanding of the company’s product and security offerings
• Be aligned on commercial objectives and priorities with regional leadership and field sales teams
• Be cultivating effective relationships with key partners in the ecosystem
• Build out and cultivate the channel funnel and ecosystem
• Leverage channel partners in managing deal registration, forecast, and pipeline
• Hit or overachieve your monthly targets

One Year:

• Align the channel strategy with the sales team to expand the coverage of the target account
• Develop new logo opportunities and deliver on sales revenue commitments and profitability objectives
• Refine and tailor partner models and programs across key strategic verticals
• Lead and win mindshare and cycles from competitors
• Meet or exceed your annual targets

Belong— Your Community

Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you’ll grow and belong here.

Be Rewarded — Benefits That Help You Grow, Thrive, Belong

• Comprehensive health coverage, generous PTO, and flexible work options
• Learning opportunities, career-mobility programs, and leadership workshops
• Sixteen paid volunteer hours each year, global employee resource groups, and a “No Jerks” policy that keeps collaboration healthy
• Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations
• Charitable Giving Program supported by Company Match
• We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position: $135K - $200K, plus bonus or commissions

Ready to Be the Difference?

Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis

#LI-LN1

#LI-Hybrid

#LI-Remote

xLight is seeking a Director of Procurement to lead and scale our sourcing, supplier management, and procurement operations. This hybrid role requires close collaboration with engineering, manufacturing, and program teams and periodic on-site engagement to support supplier qualification, integration, and production readiness.

This position is ideal for a procurement leader experienced in highly technical, government-adjacent, or capital-intensive environments.

Key Responsibilities

• Define and execute procurement strategy supporting R&D, pilot production, and manufacturing scale-up
• Lead sourcing, supplier selection, negotiations, and long-term agreements for complex, engineered components and subsystems
• Manage supplier risk, including single-source dependencies, capacity constraints, and long-lead items
• Partner with engineering on should-cost modeling, make/buy decisions, and value engineering initiatives
• Establish procurement processes, controls, KPIs, and governance appropriate for a rapidly scaling technology company
• Build, mentor, and lead a high-performing procurement and supply chain team
• Collaborate cross-functionally with Engineering, Manufacturing, Quality, Finance, and Program Management
• Support compliance with contractual, regulatory, and export-control requirements
• Interface with government-funded program requirements as applicable

Required Qualifications

• Bachelor’s degree in Engineering, Supply Chain, Business, or a related discipline (Master’s preferred)
• 10+ years of progressive procurement or supply chain leadership experience
• Proven experience sourcing complex electromechanical, optical, vacuum, plasma, or precision-manufactured systems
• Strong contract negotiation skills with high-value, long-lead suppliers
• Experience operating in fast-paced, technically complex environments
• Familiarity with ERP/MRP systems and structured procurement processes

Preferred Qualifications

• Experience in semiconductor capital equipment, aerospace, defense, photonics, or advanced energy systems
• Background supporting DOE, NNSA, DOD programs, national laboratories, or federally funded R&D initiatives
• Experience in startup, scale-up, or first-of-a-kind manufacturing environments
• Understanding of government compliance, reporting, and audit considerations

Additional Information

• This is a full-time appointment.
• xLight offers a comprehensive compensation and benefits package with stock options, holidays, paid time off, medical, dental, vision, and life insurance and 401(k) retirement plan with company matching.
• In compliance with federal and state equal employment opportunity laws, qualified applicants are considered for all positions at xLight without regard to race, color, religion, sex, national origin, age, marital status, veteran status, disability, sexual orientation, or gender identity or any other basis protected by applicable federal, state, or local law.
• This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.
• To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions, absent undue hardship.
• Send resume and optional cover letter to

Equal Opportunity Statement

xLight Inc. is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.

Senior Account Executive (San Francisco Bay-Area)

About the Role:

An innovative Data & AI technology business (Series B $50M+) is looking to hire a Senior Account Executive to drive enterprise growth across the West Coast. This role will focus on selling a category-defining data security, privacy and AI governance platform to senior security stakeholders, requiring a consultative, methodology-led approach to high growth markets.

The Company:

This fast-scaling technology company is redefining how organisations approach data defence, unifying security, privacy and AI governance into a single, forward-thinking platform. With strong product-market fit and ambitious growth plans, the business is building a commercial team to support enterprise expansion across key US markets.

Benefits & Opportunities:

• Join at a pivotal growth stage as a significant commercial hire, shaping the go-to-market strategy and long-term revenue engine.
• Sell a genuinely differentiated platform that is redefining the data security and privacy landscape.
• Work closely with leadership in a business that values grit, intelligence, curiosity and disciplined sales execution.

To Be Successful, You’ll Need:

• At least 5 years of field sales experience with a consistent track record of enterprise performance.
• Demonstrated experience selling into security, infrastructure, or observability environments within mid-size growth and enterprise companies.
• A consistent record of over achievement of quota in sales environments
• Formal sales methodology training (e.g. MEDDPIC, Command of the Message) and a highly consultative, process-driven approach.

Key Words:

Account Executive | Enterprise Sales | Data Security | Privacy Technology | AI Governance | MEDDPIC | Command of the Message | Observability | Infrastructure | CISO | Enterprise Software | Field Sales

Job Title : Nuclear Engineer (Naval Reactors Engineer) Category / Component : Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards.

Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation.

What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication.

Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding.

Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields.

Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements.

Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy.

Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter.

Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work.

Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities.

Specific options depend on the Sailor's status, training, and current Navy policy.

Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options.

Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance.

Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed.

Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source.

Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community.

It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes.

Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

Start Date: ASAP

About Us

Mundane is a venture-backed seed-stage robot learning startup founded by a team of Stanford researchers and builders. We’re deploying a massive fleet of humanoid robots to perform mundane tasks in commercial environments, collecting data to build the next generation of embodied intelligence. We’re a fast-paced, execution-driven team of engineers, roboticists, and dreamers.

Our mission is simple and audacious: build robots that feel human to control — systems that extend human intent into the physical world with immediacy, precision, and grace.

About the Role

As VP of Teleportation, you will lead the design of the sensory and cognitive bridge that connects humans to Mundane’s humanoid robots — a telepresence interface so seamless that distance disappears.

You’ll architect the systems that let operators see, feel, and act through robots as if they were there themselves. Your work will unify cutting-edge visualization, human-computer interaction, and robotic control into an integrated experience that defines the future of human-AI symbiosis.

This is not a design role. It’s a frontier research and systems leadership position — one that spans computer vision, HCI, telepresence, XR, and low-latency distributed systems. You’ll collaborate directly with Mundane’s founders, robotics engineers, and AI researchers to invent the interaction layer that makes humanoid intelligence deployable at scale.

Responsibilities

• Architect and lead the development of Mundane’s teleoperation and telepresence stack — spanning perception, visualization, and interaction design.
• Define and prototype new paradigms for human–robot shared embodiment, combining vision, control, and cognitive feedback in real time.
• Lead applied research on operator performance, situational awareness, and embodied cognition in teleoperation.
• Build high-fidelity visualization pipelines integrating multi-sensor inputs — RGB, depth, LiDAR, and proprioceptive state.
• Collaborate with ML and controls teams to develop closed-loop learning systems that fuse human feedback with robot adaptation.
• Explore VR/XR and spatial computing interfaces for immersive control and situational presence.
• Publish and present frontier work in HRI, CVPR, ICRA, SIGGRAPH, CHI, or equivalent venues to help define the state of the art in embodied telepresence.

Qualifications

Must-Haves

• Advanced background in Human–Computer Interaction, Computer Vision, Robotics, or Cognitive Systems.
• Proven experience building or leading teleoperation, XR, or perception-based interaction systems at scale.
• Strong expertise in real-time rendering, image processing, or sensor fusion (Unity, Unreal, CUDA, OpenCV, ROS2).
• Deep understanding of low-latency streaming architectures and human perceptual thresholds (WebRTC, custom protocols, etc.).
• Ability to drive end-to-end system design — from experiment to deployment — across interdisciplinary research teams.

Bonus

• Prior leadership at a frontier lab (Meta Reality Labs, Apple Vision Products, NVIDIA Robotics, Boston Dynamics AI Institute, etc.).
• Experience with VR telepresence, neural rendering, or world models for shared autonomy.
• Published work in HRI, IROS, ICRA, CoRL, SIGGRAPH, or CHI.
• Track record of building teams that bridge research and productization of embodied or immersive systems.

What You’ll Get

• Full ownership of the human–robot teleportation layer — the interface that defines how intelligence moves between human and machine.
• Early equity with meaningful upside in a venture-backed company building the foundation of embodied AI.
• The opportunity to deploy your work across a real humanoid robot fleet, not simulations.
• Influence over the design of the company’s next-generation learning systems — where teleoperation becomes co-learning.
• The chance to define the visual and cognitive language of human–AI symbiosis.

Perks: Competitive salary + equity, flexible PTO, legendary merch, coffee, robots, sauna & cold plunge (pending).

Help us change lives

At Exact Sciences, we're helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others.

Position Overview

The Lead AI Safety and Enablement Engineer ensures the safe, reliable and scalable use of AI and machine learning across Exact Sciences. This role focuses on developing and implementing systems, tools, and frameworks that embed responsible AI principles into the organization's technology ecosystem. The position combines software engineering expertise with a strong understanding of AI risk management, compliance, and observability.

This role is based in one of our office location. Relocation assistance provided to those not local to the area and willing to relocate.

Essential Duties

Include, but are not limited to, the following:

• Support implementation of enterprise standards for AI safety, transparency, and reliability.
• Develop and maintain shared AI safety tools such as model catalogs, metadata registries, and monitoring systems for bias, drift, and performance.
• Build APIs, templates, and SDKs that integrate governance and validation into AI/ML development pipelines.
• Contribute to the design of observability and telemetry solutions for continuous monitoring of model and data quality.
• Collaborate with Legal, Privacy, Compliance, and InfoSec teams to translate AI policies into automated controls and technical safeguards.
• Work with ML and GenAI teams to embed validation and safety checkpoints in AI workflows.
• Participate in cross-functional reviews and discussions supporting AI governance and responsible AI practices.
• Promote awareness and adoption of responsible AI principles through tools, documentation, and knowledge sharing.
• Support and comply with the company's Quality Management System policies and procedures.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Maintain regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 8 years of experience in software, ML systems, or platform engineering.
• Practical experience with AI lifecycle tools (e.g., MLflow, Arize, WhyLabs, Label Studio).
• Proficiency in Python, CI/CD processes, and cloud platforms (AWS, Azure, or GCP).
• Experience developing scalable and compliant ML systems and tools.
• Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications

• Master's degree in Computer Science, Data Engineering, or AI.
• Experience implementing AI assurance, observability, or risk management frameworks.
• Knowledge of GenAI, LLM evaluation, and prompt safety practices.
• Familiarity with FDA, HIPAA, or GxP compliance standards.

Salary Range:

$184,000.00- $276,000.00

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.