Engineering Jobs in Alto, 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.

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

What you'll do:

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

What we're looking for:

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

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-HYBRID

#LI-AH2

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

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

Start Date: ASAP

About Us

Mundane is a venture-backed, seed-stage robot learning company founded by Stanford researchers and builders. We deploy humanoid robots into real commercial environments to collect data and build the next generation of embodied intelligence.

We operate as a small, highly technical team with a strong bias toward execution. Our work spans robotics, machine learning, and real-world deployment, and requires rigor, judgment, and ownership at every level of the organization.

Our mission is to build robotic systems that feel natural to control — extending human intent into the physical world with speed, precision, and reliability.

About the Role

This Chief of Staff Intern role is a 6-month, full-time position working directly with Mundane’s founding team on the company’s highest-priority strategic and operational initiatives.

You will act as a force multiplier for the founders—owning cross-functional projects, driving execution on strategic priorities, and ensuring critical initiatives move forward with speed and rigor. The scope is intentionally broad and will evolve with the needs of the business.

This role is designed for a high-caliber operator with strong judgment, versatility, and drive, who is comfortable working in ambiguous, high-responsibility environments.

Responsibilities

• Partner closely with the founding team to drive execution on top strategic and operational priorities
• Own cross-functional initiatives from definition through completion, ensuring clarity, accountability, and results
• Support strategic planning, goal-setting, and internal operating cadence
• Conduct structured analysis on business, financial, and operational questions
• Support financial planning, budgeting, and performance tracking
• Prepare high-quality materials for internal decision-making and external stakeholders
• Identify execution gaps and design processes or systems to address them
• Act as a connective layer across engineering, product, and operations to ensure alignment and follow-through

Qualifications

Required

• Demonstrated excellence as an operator, with a track record of owning critical initiatives and delivering results in demanding environments
• Strong foundation in economics or finance, through education or professional experience
• Exceptional judgment and attention to detail, particularly in high-stakes or ambiguous situations
• Versatility and drive, with the ability to shift between strategic thinking and tactical execution
• Clear, structured written and verbal communication, suitable for executive-level contexts
• Strong analytical skills, including comfort with models, metrics, and incomplete information
• Ability to work in-person in downtown Palo Alto for the duration of the internship

Nice to Have

• Prior experience in investment banking, management consulting, venture capital, private equity, or early-stage startups
• Experience working on or alongside highly technical deep-tech projects (e.g., robotics, AI/ML, infrastructure, hardware)
• Previous exposure to Chief of Staff, strategy, or operations roles

Candidate Expectations

We hire A players only.

In your application, please clearly articulate:

• The most impactful work you have owned end-to-end
• Examples of operating under ambiguity and delivering results
• Why you believe you would be effective working directly with a founding team

We place greater weight on demonstrated capability, judgment, and execution than on titles or pedigree alone.

What You’ll Get

• Direct partnership with Mundane’s founding team
• Ownership over strategic initiatives that materially impact the company
• Broad exposure to company-building at a seed-stage robotics startup
• A rigorous, execution-focused working environment

Perks: free merch, robots, espresso, flexible hours, sauna & cold plunge (pending).

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:

Senior Machine Learning Engineer (GenAI and Agentic Systems)

Location: Palo Alto, CA (Hybrid )

Role Type: Full-Time / Permanent

Summary

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

Core Responsibilities

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

Technical Profile

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

Cultural Fit

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

What’s Offered

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

Our global Tech client is seeking a fully remote Communications Designer to join their team for the next 5+ months, 40 hours/week.

Role Summary
This role focuses on creating high-quality visual design solutions across brand, product, and marketing experiences. The ideal candidate brings a strong design portfolio showcasing product, branding, and communication design capabilities. You will ideate concepts, build visual identity systems, collaborate cross-functionally, and refine design work based on creative direction. The role requires excellent communication, strong craft, and the ability to work independently on multiple high-caliber projects.

Top Must Have Skills

A portfolio demonstrating product, branding, and communication design experience
Strong presentation, interpersonal, and communication skills
Proficiency with creative and production tools including Figma, Illustrator, Photoshop, and After Effects

Additional Qualifications

Experience with AI tooling such as Claude Code, Figma Make, Weavy, and NanoBanana (nice to have)
Experience with design systems and working closely with product teams
Experience in 3D design, prototyping, and motion/animation is a plus
Bachelor's degree

Responsibilities

Ideate visual concepts and refine design work based on creative direction
Develop visual identity platforms, systems, typography, color palettes, illustration, and iconography
Extend brand expression systems into interactive digital experiences
Concept, prototype, and execute brand and marketing experiences within product
Clearly articulate strategic thinking and design decisions to diverse partners
Provide and solicit feedback from UX design peers to support high-quality product development
Collaborate daily with engineering, content, research, marketing, and data science teams from concept to launch
Work independently on multiple projects simultaneously, maintaining timelines and demonstrating progress
Proactively identify and lead projects that span multiple teams, including facilitating or co-facilitating design sprints and workshops

In this position, you may have access to client or customer systems, confidential and/or proprietary information or data.

Benefits

CSI Companies is seeking mutiple Field Service Technicians to work with one of our top healthcare clients!

Title: Field Service Technician

Location: Palo Alto, CA

Type: Contract-to-Hire

Duration: 6 - month contract to start

Pay: $35 - $45/hour W2

Shift: Monday - Friday, 8am - 5pm with occassional weekend work

Description:

Brief Overview

The Sr. Field Services Technician is responsible for providing work direction to field technicians responsible for onsite installation, configuration, repair, and maintenance for a variety of end user and network devices at SHC locations across the San Francisco Bay Area. The Sr. Field Services Technician will additionally provide L2/L3 support as required and work with the SHC Service Desk and desktop engineering teams to identify and remediate recurring issues

What you will do

• Monitor technician activity across SHC field locations, optimizing support and providing escalated technical assistance as required.
• Work with desktop and network engineering and network teams to identify, diagnose, and resolve recurring incidents in the field.
• Resolve escalated service delivery issues and interact regularly with IT customers, including communicating issues to the appropriate internal stakeholders, and support communications to the field regarding service delivery issues.
• Perform root cause analysis on recurring issues and communicate results with desktop engineering, network engineering, and service desk teams.
• Provide service and customer support during field visits or dispatches, representing SHC IT in a professional and businesslike manner.
• Oversee all onsite installation, configuration, repair, and maintenance of desktops, laptops, tablets, mobile devices, associated peripherals, and related software.
• Oversee onsite initial basic network troubleshooting, port activation and deactivation at SHC locations.
• Oversee onsite updates, configuration changes, and installations of hardware and software, and diagnose technical problems to determine proper solutions.
• Assist field technicians with diagnosing problems before arrival, determining needed parts and documentation to minimize down time and multiple trips.
• Determine whether OEM parts or assistance is required and coordinate OEM vendor parts or assistance as required.
• Provide technical support and setup during special events at SHC locations such as conferences.
• •Complete accurate and timely updates in Asset Management tracking system.
• •Maintain and track asset data including but not limited to warranty, license, and maintenance information for technology service assets across the SHC environment.
• •Coordinate and manage asset audits and manage exceptions through a remedial action management process.
• •Ensure process compliance by managing the remedial / corrective action management process for any breaches that occur throughout the lifecycle.
• •Ensure equipment is per the defined SHC standards
• •Work closely and build relationships with SHC vendors. Participate in gathering bids for large purchases and assist management in negotiating better pricing.
• •Consult with Project Managers for procurement of IT hardware for projects and manage procurement

Education

• Four year college degree or advanced certifications (e.g. Microsoft Office Specialist (MOS) Expert or Master, Microsoft Certified Solutions Associate: Office 365

Experience Qualifications

• Five (5) years of related work experience; experience in a healthcare IT environment preferable.

Required Knowledge, Skills and Abilities

• Experience troubleshooting, repairing and supporting the following (or similar):
• Windows 7, Windows 8, and Mac operating systems, as well as common applications (e.g., MS Office, Outlook, VPN);
• HP, Dell, Tangent, and Apple desktop/laptop hardware systems; OEM certification or at least 3 years of documented service required on at least 2 hardware systems required;
• Apple (iPad) and other common tablet computing devices;
• Printers, monitors, external hard-drives, network interface cards, etc.;
• Cisco routers (e.g., 36XX, 76XX, ASR 1XXX);
• Cisco switches (e.g., Catalyst, Nexus);
• Cisco wireless access points (e.g., Aironet);
• Associated networking devices (e.g., LAN Controllers, WAN Optimizers)
• MCSA Windows 7, MCSA Windows 8, and CompTIA A+ required
• One or more of the following certifications preferred : CCIE, CCNA, CCNP, CCDE, CCDP, CCSP, CCVP
• Excellent customer service orientation and verbal communication skills; ability to work in the field with accuracy and minimal direction.

Licenses and Certifications

• DL - Driver’s License – Any US State .

The ideal candidate is a competitive self-starter who thrives in a fast-paced environment. You must be comfortable making dozens of calls per day, working with partners, generating interest, qualifying prospects, and closing sales.

Responsibilities

• Managing inbound requests from customers and supporting the administrative needs of wider outside sales team
• Work with sales operations to support customer shipments and trial requests
• Business development outreach to new customers in the North American market
• Ability to use tools like Zoom Info, identify potential target accounts, make cold calls, and send emails
• Technical ability to understand lidar products and their capabilities/functions
• Traveling to tradeshows (~4 times per year)

Qualifications

• 2 - 4 years of experience in SDR / BDR-type roles, experience in outside sales a plus
• Interest or experience working with hardware tech
• Ability to understand and deploy cold calling/email outreach best practices
• Motivated to learn and develop their sales ability
• A college degree in a business or engineering-related field

Company Description

Applied Computing Foundation (ACF) is a non-profit educational organization committed to teaching young innovators technology and entrepreneurship. ACF offers camp programs that engage students in cutting-edge fields Artificial Intelligence and Robotics - Lego robotics, arduino, raspberry pi, and drones.

ACF creates an environment that fosters learning, innovation, and practical application of skills. The organization is recognized as a Section 501(c)(3) charitable entity, supporting the next generation of tech leaders.

Role Description

This is a contract role for a Robotics Coach at Applied Computing Foundation, focusing on holiday and summer camps (Ski week camp from Feb 17 -20, Spring break & Summer camp). The coach will be responsible for leading and mentoring students in STEM-focused activities, guiding them through hands-on robotics projects, and teaching programming concepts. Additional responsibilities include providing training, fostering teamwork, and promoting critical thinking skills. This on-site role is located in Los Altos, CA primarily and multiple locations including San Jose, Milpitas, Cupertino, Fremont, in the bay area.

Qualifications

• Strong knowledge and experience in Robotics and Programming
• Excellent Communication skills with the ability to explain technical concepts to young learners
• Background in STEM and proven capability in training students
• Passion for education and working with children or young adults
• FLL, FRC experience preferred
• Prior experience in a coaching or teaching role is a plus
• Bachelor’s degree in a related field (e.g., Computer Science, Engineering, Education) preferred

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.

Title: Executive Director - Web & MarTech

Location: Palo Alto, CA(Hybrid)

Full time

Description:

The Executive Director of Web & Marketing Technology is the accountable leader for all applications, platforms, and services supporting Stanford Health Care and Stanford School of Medicine's externally facing digital web presence and marketing technology portfolio. This role has end-to-end responsibility for all public-facing web properties, content management platforms, and supporting MarTech capabilities that enable digital end user experience, engagement, brand integrity, and institutional visibility.

The Executive Director serves as the strategic owner for enterprise web and marketing technology platforms—driving standardization, scalability, reliability, and innovation to improve end user experience, operational excellence, and financial performance across a world-class academic health system serving the three missions of research, educational and clinical care.

What you will do

• Strategy & Leadership
• Serve as the enterprise strategist and accountable owner for all externally facing digital web platforms and marketing technologies.
• Maintain broad and current knowledge of emerging digital web, MarTech, analytics, and AI-enabled capabilities relevant to healthcare.
• Advise executive Technology & Digital Services (TDS) leadership and governance bodies on strategic direction, investment priorities, and risk considerations for digital web and marketing platforms.
• Platform & Portfolio Management
• Provide strategic leadership for full lifecycle management of enterprise digital web platforms, including Content Management Systems, web hosting, search, web analytics, MarTech platforms, and Software Development Life Cycle practices.
• Ensure high availability, performance, security, accessibility, and scalability of all externally facing web properties and MarTech systems serving students, faculty, researchers, patients, families, and the broader public.
• Establish and enforce standards and governance for digital web architecture, development practices, content platforms, and enterprise integrations.
• Identify and execute opportunities to reduce cost and complexity through platform consolidation, standardization, and improved vendor contracting.
• Partner with business, clinical, marketing, analytics, and technology stakeholders to enable responsible use of analytics and AI capabilities across digital web and marketing platforms (e.g., content optimization, search relevance, journey analytics, automation).
• Ensure AI-enabled web capabilities adhere to privacy, security, accessibility, regulatory, and ethical standards appropriate for a healthcare environment.
• Translate business and experience needs into practical, value-driven use cases for data and AI adoption across externally facing web properties.
• Governance, Vendors & Delivery
• Coordinate and support internal and external IT governance processes related to digital web and MarTech investments, enhancements, and platform retirements.
• Lead vendor evaluation, selection, contracting, and ongoing performance management for digital web platforms, CMS, hosting, analytics, and MarTech partners.
• Oversee delivery of complex, cross-functional initiatives involving clinical, marketing, compliance, communications, and technology stakeholders.
• Thought Leadership & External Engagement
• Facilitate research and develop white papers, executive briefings, and decision frameworks to support strategic planning and governance.
• Participate in national and international professional organizations related to healthcare digital web platforms and marketing technology.
• Contribute to publications and thought leadership efforts that enhance Stanford Medicine’s reputation and leadership in digital medicine and healthcare.
• Team & Capability Leadership
• Build, lead, and continuously evolve high-performing internal teams and extended delivery partners supporting digital web and marketing technology platforms.
• Define organizational structures, roles, and skills required to deliver enterprise-scale, externally facing web platforms.
• Hire, develop, and retain top talent across engineering, platform, product, analytics, and operations.
• Foster a culture of accountability, collaboration, continuous improvement, and responsible innovation.

Education Qualifications

• Bachelor's degree in a work-related discipline/field from an accredited college or university. Any combination of education and experience that would likely provide the required knowledge, skills and abilities as well as possession of any required licenses or certifications is qualifying.

Experience Qualifications

• Fifteen (15) years of progressively responsible and directly related work experience

Required Knowledge, Skills and Abilities

• Demonstrated experience leading enterprise-scale externally facing digital web platforms in complex, regulated environments.
• Ability to communicate effectively with senior executives, clinical leaders, and diverse stakeholder groups.
• Ability to establish the strategic direction and business plans for multi-disciplinary teams.
• Experience evaluating vendors and strategic partners supporting large-scale public web platforms.
• Expertise managing complex programs involving people, budgets, multiple departments and timelines.
• Demonstrated track record in operating and capital budget management.
• Proven leadership of Content Management Systems, web analytics platforms, MarTech stacks, hosting environments, and software development teams.
• Knowledge of healthcare regulatory, privacy, accessibility, and security requirements.
• Practical understanding of data and AI concepts as applied to digital web and marketing platforms.

At Verdigris, our mission is to sustain and enrich human life through responsive energy intelligence. As AI accelerates global energy demand, we envision a future where Verdigris unlocks data center efficiency, drives carbon‑neutral electricity, and enables intelligent energy systems for humanity's benefit.

If you're excited to build the GTM system for a company at the intersection of AI infrastructure and energy intelligence, this role is for you. In your first 90–180 days, you'll establish Verdigris's canonical GTM foundation, ship AI‑native workflows that create real leverage, and partner with Product and Sales to close strategic accounts. You'll work directly with leadership in a culture that values builders, clarity, and execution.

We're looking for a Head of Marketing to build an AI‑native marketing system from scratch—one that creates clarity, builds trust, and directly generates pipeline for our sales team. This role is not about producing more content—it's about designing the system by which positioning, proof, sales enablement, and demand are created and scaled from a single source of truth.

You will build this yourself. We don't have engineering support for marketing tools. You'll prototype automations, ship workflows, and prove concepts work. If you need to write a script, train a custom GPT, or deploy to Vercel—you do it.

You are a builder and architect, not a manager of agencies. You think in systems and sources of truth. You're comfortable with Claude Code or Cursor. You've built from zero before—playbooks, tools, processes—not inherited them.

This is not a demand‑gen‑only role, not brand‑only, not a content producer role, and not a passive stakeholder position. This is a builder + architect role where you own outcomes.

Show us what you've built. Send us the Vercel link, or tell us about the custom GPT, automation, or tool you shipped.

• 
  
• Define and maintain canonical GTM texts: ICPs, personas, core narrative, value propositions, use cases, and trust/de‑risking primitives
  
• Establish governance for what is canonical vs. derived, what updates automatically vs. requires review
  
• Own positioning and messaging architecture; translate product capabilities into buyer‑centric outcomes
  
• Build and maintain case studies, proof points, ROI calculators, and a structured evidence library
  
• Generate and maintain sales decks, one‑pagers, talk tracks, and stage‑based enablement assets
  
• Design demand programs: targeted outbound/ABM, thought leadership, select campaigns
  
• Connect canonical GTM docs to downstream generation; own tooling decisions for CMS, content ops, attribution
  

• 
  
• 6–12 years in B2B marketing with strong product marketing DNA
  
• Experience in zero‑to‑one or early‑scale environments
  
• Experience with technical or infrastructure‑adjacent products
  
• Builder mentality: you've built playbooks, messaging, processes, or tools from scratch
  
• Systems thinker: you distinguish between one‑off assets, reusable templates, and canonical sources of truth
  
• Comfort with Claude Code, Cursor, or similar AI coding environments—you can prototype without engineering support
  
• You've built AI‑native marketing workflows: content pipelines, research automation, or self‑updating enablement
  
• You've personally built automations (Zapier, Make, n8n, scripts) or trained custom GPTs/Claude projects
  

• 
  
• Experience marketing to data center, cloud infrastructure, or enterprise IT buyers
  
• Background in enterprise B2B sales cycles and complex buyer journeys
  
• Experience with energy, sustainability, or building technology sectors
  
• Previous experience building canonical content systems or single‑source‑of‑truth frameworks
  

This is your chance to own marketing at a company shaping the future of AI infrastructure and energy. You'll have real ownership from day one—building the systems, workflows, and positioning that drive our go‑to‑market success.

Mythic has developed a unified hardware and software platform featuring its unique Mythic Analog Compute Engine (Mythic ACE™) to deliver revolutionary power, cost, and performance that shatters digital barriers preventing AI innovation at the edge. Mythic's unique technology makes it much easier and more affordable to deploy powerful AI solutions, from the data center to the edge device. The company has raised over USD 125M in a recent funding round and has offices in Palo Alto (CA, USA), Austin (TX, USA), and Bangalore (Karnataka, India).

Mythic is a fast-paced startup looking for individuals who enjoy broad, flexible roles. We are looking for a hands-on Principal Physical Design Engineer to serve as the technical leader of Physical Design in our India design center. This role is critical to delivering first-silicon success of advanced-node, chiplet-based AI SoCs, with a strong emphasis on analog IP integration and 3D stacking.

You will work closely with the US architecture, design, and manufacturing teams, define PD methodologies, and mentor an India-based PD team in a fast-paced startup environment.

• 
  
• Own block-to-full-chip Physical Design for both mature-node (28nm+) and advanced-node SoCs (12nm/7nm and below).
  
• Drive floorplanning, timing, power, and signoff closure.
  
• Lead integration of analog and mixed-signal IPs, ensuring noise isolation, power integrity, and robust digital-analog coexistence.
  
• Support chiplet-based and 3D designs, potentially including interposer-based integration.
  
• Collaborate closely with US-based architecture, RTL, packaging, and foundry teams.
  
• Define and enforce PD methodologies, quality bars, and tapeout readiness.
  
• Mentor senior- and mid-level PD engineers and help scale the local organization.
  

• 
  
• 15+ years of hands-on Physical Design experience on complex SoCs.
  
• Multiple successful advanced-node tape-outs (≤12nm).
  
• Strong expertise in:
  
• Floor planning, placement, CTS, routing, optimization
  
• STA (MCMM, SI, AOCV/POCV)
  
• Power integrity (IR/EM), noise, and thermal considerations
  
• Proven experience integrating analog/mixed-signal IPs in large digital designs.
  
• Working knowledge of 3D IC concepts, chiplets, interposers, and high-bandwidth die-to-die interfaces.
  
• Hands-on production experience with one or more industry-standard EDA tools, including:
  
• Cadence: Innovus, Tempus, Voltus, Quantus
  
• Synopsys: ICC2, PrimeTime, Fusion Compiler, StarRC
  
• Siemens EDA (Mentor): Calibre (DRC/LVS)
  
• Strong familiarity with foundry PDKs and sign-off flows at advanced nodes
  

• 
  
• Willing to be both strategic and hands-on as needed.
  
• Able to influence early architectural decisions with physical design insight.
  
• Strong communicator across time zones and cultures with an ability to lead and manage a high-performing team of junior to mid-level PD engineers.
  

• 
  
• Experience with AI accelerators, HPC, or memory-centric SoCs.
  
• Direct exposure to chiplet-based designs and UCIe-style interfaces.
  
• Foundry interaction experience (TSMC/Samsung/Intel).
  

At Mythic, we pride ourselves in creating a culture where all employees feel valued and appreciated for the diverse perspectives and backgrounds they bring to the team. We aim to hire smart people, give them the resources they need to do their job well, and then leave the rest up to them. We celebrate individual differences and encourage people to be comfortable bringing their authentic selves to work. At the end of the day, we are committed to building a diverse workforce where everyone belongs.

Mythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

We look forward to reviewing your application!