Engineering Jobs in Colma

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.

The Internal Identity & Access Management (I2AM) team is responsible for critical production infrastructure that provides a foundational notion of Identity and strong authentication and authorization controls across Pinterest. Our backend is primarily written in Golang, Python with some C++ while our frontend tools are written in React and TypeScript. We're looking for an experienced software engineer who will help us build robust tooling to define and evaluate access controls across production infrastructure. A security background is not necessary but ideal candidates will have familiarity with the problems or related spaces, such as Infrastructure or Identity.

What you'll do:

• 
  
• Help shape our identity and authorization controls for users, services and AI Agents.
  
• Design, implement, and maintain mission-critical software that will help us deliver robust IAM infrastructure and libraries to our customers.
  
• Collaborate with a variety of teams to build performant and resilient AAA (Authentication, Authorization, Auditing) platform controls into various high-traffic services including our AI Agents, online/offline data platforms, databases, service mesh (Envoy). and other critical infrastructure components.
  
• Represent the I2AM team across the Security Organization and with our X-org partners, including Networking, Data Platform, Cloud Platform, Agent Platform and product teams.
  
• Work with and mentor more junior engineers on the I2AM team.
  

What we're looking for:

• 
  
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  
• 5+ years of software development experience.
  
• A history of building & operating large scale distributed systems.
  
• Past experience influencing technical architecture and roadmap adoption while working across other teams.
  
• Experience in some of the following areas is a strong plus:
  
  • 
    
  • Infrastructure provisioning tools (Terraform, Puppet, etc.)
    
  • Identity, Account Security, Authentication/Authorization (OAuth, SAML, RBAC) protocols
    
  • AWS or other public cloud infrastructure, containerization such as Kubernetes
    
  • Familiarity with networking protocols (Application layer)
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months 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-REMOTE

#LI-JT1

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.

Production Engineering at Pinterest is an evolution of our Site Reliability Engineering organization blending a hybrid of systems and software engineering with a focus on scaling, resiliency, reliability, performance, and efficiency. Our organization accomplishes this through building & integrating software, increasing automation, and infusing our knowledge & best practices into our Platform products so we can scale our large distributed systems to keep our customers happy, and our Pinners inspired. We also do this by developing short and long term embedded engagements with our engineering partners to help remove barriers, up-level reliability & best practices, and maintain a high consistent bar for reliability in a fast paced ever changing environment. We are always on a mission to improve reliability while also increasing engineering velocity, reducing toil and KTLO impact for both ourselves and our customers: fast, efficient, quality - we will accomplish all three!

What you'll do:

• 
  
• Lead our engineers to deliver on the biggest impact work across engineering to ensure we're infusing best practices into our products relating to reliability, scalability, performance and efficiency
  
• Drive technical architecture discussions; including being capable of driving and decision making for technology or applications that you have not had previous experience with
  
• Continuously assess your team's performance, address and coach under-performance, and recognize and promote high performance
  
• Create an inclusive and welcoming workplace where every team member feels valued and supported
  
• Foster an environment of open and honest communication, allowing team members to be safe to fail, encourage risk taking with a fail-fast mentality, and establish forums where they can share their ideas
  
• Empower engineers to develop their careers, matching their strengths with projects tailored to their skill levels, long-term skill development, personalities, and work styles
  
• Create an inspiring team charter and direction that align with the goals of the broader Production Engineering organization
  
• Develop strong partnerships with Product & Program Management partners across infrastructure by communicating a clear and impactful vision and priorities
  
• Establish team norms around planning, execution, and continuous improvement
  

What we're looking for:

• 
  
• 3+ years experience managing teams within an SRE, Production Engineering or other Platform/Infrastructure organizations
  
• Customer obsession: Demonstrated ability to work cohesively and build relationships with partners across engineering disciplines and capable of influencing without authority
  
• Familiarity with the concepts and use cases for SDLC including SCM tools, Build platforms, test frameworks, CI/CD products
  
• Familiar with usage and high level architecture of data platform technologies such as relational databases, storage & caching, key value stores, time series data stores, etc.
  
• Strong domain expertise in reliability concepts and best practices with the ability to innovate and provide thought leadership and direction in this problem space
  
• Hands on familiarity with public cloud platforms such as AWS, GCP, or Azure
  
• Knowledge of Linux systems internals and networking
  
• Thrive in an environment with a lot of ambiguity with the ability to be self sufficient and ruthlessly prioritize the highest impact projects
  
• Infrastructure technologies such as Docker, Kubernetes, Tensorflow, ElasticSearch, ZooKeeper, and Infrastructure as code (e.g. Terraform, Puppet, Chef, Ansible, Salt, Fabric, etc)
  
• Heavy bias toward action; able to drive resolution and making quick decisions balancing being data driven along with leveraging your experience & judgement
  

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-REMOTE

#LI-JT1

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 exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization.As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimize their services.

What you'll do:

• 
  
• Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact.
  
• Architect, build, and scale distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest's distributed systems.
  
• Build high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale.
  
• Champion Best Practices: Establish observability standards and patterns across the organization, making it easy for teams to instrument their services and gain actionable insights
  
• Technical Leadership: Mentor engineers, lead architectural reviews, and influence technical decisions across teams to improve overall system reliability and performance
  
• Cross-functional Collaboration: Partner with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability
  
• Innovation: Stay current with observability trends and technologies, evaluating and adopting cutting-edge tools and techniques to keep Pinterest at the forefront
  

What we're looking for:

• 
  
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  
• Product Mindset: Demonstrated ability to work backwards from customer needs -understanding user needs, prioritizing features, measuring success, and iterating based on feedback. Experience building internal platforms or tools with strong adoption
  
• Distributed Systems Expertise: 7+ years of experience designing and operating large-scale distributed systems with deep understanding of consistency, availability, scalability, and failure modes
  
• Data Engineering Skills: Strong background in building data pipelines, working with time-series databases, columnar storage, stream processing (Kafka, Flink, etc.), and data modeling at scale
  
• Observability Domain Knowledge: Hands-on experience with modern observability tools and practices including metrics, logging, tracing, and profiling. Familiarity with OpenTelemetry, Prometheus, Grafana, or similar technologies
  
• Programming Proficiency: Expert-level coding skills in languages like Java, Python, Go, or Scala with ability to write production-quality code
  
• Systems Thinking: Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability
  
• Experience building observability platforms from the ground up or significantly scaling existing solutions
  
• Familiarity with cloud-native architectures and technologies (Kubernetes, service mesh, etc.)
  
• Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy
  
• Experience with machine learning or anomaly detection applied to observability use cases
  
• Strong communication skills with ability to influence stakeholders at all levels
  
• Contributions to open-source observability projects, a plus
  

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-REMOTE

#LI-JT1

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

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

#LI-SA1

#LI-REMOTE

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

Relocation Statement:

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

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.
  

#LI-REMOTE

#LI-SM4

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

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

The Content Quality Signals team at Pinterest is seeking a Sr Product Manager to define, execute, and champion the multi-year strategy for building advanced borderline content signals. You will lead product innovation at the intersection of machine learning and user experience-developing the core content quality signals that drive personalization, discovery, and business outcomes across Pinterest. Join the team influencing what users see on Pinterest, enabling millions to turn inspiration into action.

What you'll do:

• 
  
• Developing, aligning the organization around, and driving the strategy and roadmap for Borderline Content Signals, ensuring the roadmap is ambitious, principled, and closely aligned with company priorities.
  
• Lead cross-functional development of critical borderline content signals that power personalization, ranking and core user experiences.
  
• Build, launch, and scale signals that make Pinterest safer, relevant, engaging, and valuable for users and advertisers globally. Nurture a culture of transparency, data-driven decision-making, and continuous learning within the team.
  
• Build strong partnerships with engineering, data science, and multiple product groups to translate vision to metrics, OKRs, and product deliverables.
  
• Represent the Content Quality team in org-level forums, proactively communicating progress, strategy, and tradeoffs to senior leadership and partner teams.
  

What we're looking for:

• 
  
• Demonstrated success in product management or related experience at fast-growing companies.
  
• Previous successful experience partnering with machine learning engineering teams.
  
• Experience working with safety, integrity or content quality teams is a plus.
  
• Proven ability to lead in ambiguous environments, aligning across functions, teams, and orgs to deliver on time in a highly collaborative environment.
  
• Strong analytical skills to define product strategy and drive decision making, making appropriate trade-offs based on data analysis and qualitative feedback from Pinners.
  
• Exceptional communicator who builds deep alignment across engineering, product, and business partners-skilled in influencing at all levels and facilitating decision-making across organizations.
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience.
  

Relocation Statement:

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

• 
  
• 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.
  

#LI-REMOTE
#LI-REX

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.

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:

Our client is looking for an IP Litigation Associate with 3 to 5 years of AMLAW 200 experience for their very sophisticated practice group. The firm is looking for those that have backgrounds in Electrical Engineering or Computer Science from top schools for this above market to market salary opportunity in any of their 3 locations: Washington D.C., New York or San Francisco. This is a fantastic opportunity to work with a close-knit group that offers no billable hour requirements and the ability to work on some of the most important intellectual property disputes in recent times. If you or someone you know meet these requirements, please message me today. I would LOVE to chat!

Head of Operations and Manufacturing Ripple Medical | California (Hybrid or Remote) | Full-Time

ABOUT RIPPLE MEDICAL

Ripple Medical is a health tech company on a mission to revolutionize hypertension management with our cuffless blood pressure wearable. Once cleared by FDA, our product will enable patients to easily and accurately monitor blood pressure at home, empowering them and their providers with actionable data to improve outcomes. We're a collaborative, mission-driven team of 33 working in a medical device regulatory environment to bring this technology to the millions of patients who can benefit.

POSITION SUMMARY

The Head of Operations and Manufacturing will own the end-to-end operational infrastructure required to bring Ripple's FDA-regulated cuffless blood pressure monitor to market and scale production. This is a hands-on leadership role for someone who thrives building from zero to one in a regulated environment: selecting contract manufacturers, standing up supply chains compliant with FDA 21 CFR Part 820, establishing ISO 13485-certified quality management systems, and preparing for direct-to-patient fulfillment.

As a company preparing for 510(k) submission and commercial launch, this role is critical to ensuring we can reliably manufacture and deliver a high-quality, FDA-cleared medical device at scale. The ideal candidate brings deep experience in medical device manufacturing (particularly wearable or electro-optical devices), understands regulated hardware supply chains and design transfer, and can roll up their sleeves while building the team and processes for long-term growth.

This position reports directly to the CEO with high visibility to the leadership team and Board of Directors.

KEY RESPONSIBILITIES

Manufacturing & Production

• Lead selection and onboarding of contract manufacturing partners with Class II medical device experience, including RFQ, quality audits, contract negotiation, and ongoing management.
• Own design transfer and manufacturing transfer, working with engineering on DFM principles, Device Master Record (DMR) requirements, and production readiness.
• Establish production planning, forecasting, and capacity management for V&V builds, pilot production, and volume manufacturing.
• Drive continuous improvement in yield, quality, and cost while maintaining FDA and ISO compliance.
• Oversee pilot runs and scale-up, including process validation (IQ/OQ/PQ) and manufacturing controls.

Supply Chain & Procurement

• Build and manage the end-to-end supply chain, including component sourcing, supplier qualification, and inventory management per FDA purchasing controls.
• Develop supplier relationships and negotiate terms while ensuring supply continuity, traceability, and risk mitigation.
• Implement inventory planning to balance working capital with service levels, including buffer strategies for Year 1 launch.
• Monitor and mitigate supply chain risks: component shortages, single-source dependencies, geopolitical factors, and logistics disruptions.

Quality & Regulatory Compliance

• Maintain and improve the ISO 13485-certified QMS in partnership with the quality and regulatory team, ensuring FDA 21 CFR Part 820 compliance.
• Support 510(k) submission activities related to manufacturing, including process validation documentation, DMR development, and device history records (DHR).
• Define incoming inspection, in-process controls, and final product testing consistent with the risk management file.
• Manage product certifications for a Class II device, including FDA registration, UDI compliance, and applicable international requirements.
• Lead root cause analysis and CAPA for quality issues, ensuring post-market surveillance compliance.

Fulfillment & Logistics

• Design the direct-to-patient fulfillment strategy, including 3PL selection with FDA-cleared Class II device experience.
• Establish logistics and distribution for nationwide shipping of a regulated device with chain-of-custody and traceability.
• Develop returns, replacement, and warranty processes that balance patient experience, cost, and compliance.

Team & Organizational Development

• Start as an individual contributor who executes hands-on, then build and lead the operations team through 510(k) clearance and commercial launch.
• Establish operational metrics and dashboards for manufacturing, supply chain, and quality performance.
• Partner with finance on cost modeling, COGS optimization, and operational budgeting.
• Collaborate cross-functionally with engineering, software, regulatory, and commercial teams.

QUALIFICATIONS

• 7-12 years in manufacturing, operations, or supply chain, with 3-5+ years in medical devices (Class II preferred), wearables, or regulated hardware.
• Experience managing contract manufacturers for regulated medical devices, preferably in Asia and/or domestically.
• Experience at or with CMs/EMS providers (Flex, Jabil, Celestica, Plexus, Sanmina) in Class II medical device or wearable programs is a strong plus.
• Track record of design transfer and scaling production from pilot to volume for regulated products.
• ISO 13485 and FDA 21 CFR Part 820 experience required.
• Familiarity with the 510(k) process and manufacturing documentation (process validations, DMR/DHR) strongly preferred.
• Bachelor's in Engineering, Supply Chain, Operations, Biomedical Engineering, or related field; MBA or advanced degree a plus.
• Based in California or travel up to 25%.

COMPENSATION

• Base Salary: $160,000 - $210,000 USD
• Performance Bonus: Tied to company milestones and personal objectives
• Equity: Early-stage stock option grant with meaningful ownership
• 100% Employer-Paid Healthcare: Medical, dental, and vision
• Additional Benefits: 401(k) with company match, flexible PTO