Engineering Jobs in Woodside, CA

About Pinterest:

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

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

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

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

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 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:

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:

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.