Engineering Jobs in Daly City, CA

Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries.

******NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future***

Software Engineer III (Android)

Burlingame, CA - Hybrid

Long term Contract

Job Responsibilities:

• Present designs, prototypes and concepts to cross functional partners and stakeholders.
• Work collaboratively with Research, Engineering and other partners to execute and complete experiences.
• Work on a variety of coding languages and technologies.
• Implement custom user interfaces using latest programming techniques and technologies.
• Develop reusable software components for interfacing with back-end platforms.

Must-Have Skills:

• UI development across platforms (desktop + Android), including custom UI implementation with modern techniques.
• Strong software engineering fundamentals: building maintainable/testable codebases, API design, and unit testing.
• Mobile engineering (Android): Java/Kotlin + Android SDK, and ability to integrate UI with back-end platforms.
• Python knowledge.

Nice-to-Have Skills:

• iOS development (Objective-C/C++/Swift, iOS SDK/frameworks).
• Multithreaded programming + mobile memory management.
• Scripting language proficiency ( JavaScript / Hack) for tooling, infrastructure, or automation.

Role: Engagement Manager– Digital Health Experience

Location: Remote (U.S.)

Duration: 6-Month Contract

Working Time Zone: PST (Pacific Time Zone)

Position Overview

We are seeking a Engagement Manager– Digital Health Experience to lead the deployment, adoption, and engagement optimization of mobile digital health applications within the U.S. healthcare ecosystem. This role requires a hands-on professional with strong experience in launching digital health platforms, managing deployments, and driving sustained patient engagement through data-driven engagement strategies.

The ideal candidate will have experience deploying consumer-facing healthcare applications used by patients across providers and payer organizations, while leveraging engagement tools and analytics platforms to improve patient adoption, retention, and usage metrics such as DAU/MAU.

This role will work closely with product, engineering, digital marketing, and care management teams to ensure successful rollout of mobile applications and to design engagement loops that increase patient participation and long-term platform usage.

Key Responsibilities

• Lead deployment and rollout of mobile digital health applications across healthcare provider or payer environments.
• Manage end-to-end implementation and project management of digital health platforms, ensuring successful launches and smooth adoption by patient populations.
• Design and implement patient engagement strategies and engagement loops to drive consistent application usage and retention.
• Utilize engagement platforms such as , Intercom, Mixpanel, or similar tools to design communication workflows, patient messaging, and engagement campaigns.
• Monitor and optimize digital engagement metrics, including DAU, MAU, retention rates, and user engagement trends.
• Analyze user behavior data and analytics to improve patient onboarding, engagement journeys, and digital experience.
• Collaborate with product, analytics, and engineering teams to continuously enhance patient engagement features and workflows.
• Coordinate with healthcare stakeholders to ensure digital tools align with clinical workflows and patient care programs.

Required Qualifications

• Strong experience in deploying and managing digital health applications within healthcare provider or payer environments.
• Hands-on experience in project management and platform implementation for consumer-facing digital products.
• Experience driving user engagement, retention, and adoption for mobile or digital applications.
• Familiarity with engagement platforms such as , Intercom, Mixpanel, or similar customer engagement and analytics tools.
• Experience tracking and optimizing digital engagement metrics such as DAU, MAU, retention, and user lifecycle engagement.
• Strong analytical and problem-solving skills with the ability to translate data insights into engagement improvements.

Preferred Qualifications

• Experience working within digital health, healthcare technology, or healthcare consumer platforms.
• Familiarity with healthcare ecosystems including provider systems, payer platforms, and patient engagement solutions.
• Experience integrating engagement tools with mobile health applications or digital health platforms.
• Background working with health systems, health plans, digital health startups, or healthcare technology consulting firms.

Be part of the future of transportation!

Continuum is partnering with a leading autonomous ride-hailing company developing next-generation robotaxi technology, and we’re hiring Level 3 Vehicle Operators in San Francisco, CA, to support real-world vehicle testing and operations. This role puts you on the front lines of autonomous mobility, working with cutting-edge technology that will redefine how people move through cities.

If you have professional driving experience and enjoy working with technology and troubleshooting systems, this is a unique opportunity to break into the rapidly growing autonomous vehicle industry.

Experienced AV Operators are also encouraged to apply to expand their experience working with advanced self-driving systems.

WHAT YOU'LL DO:

As an Autonomous Vehicle Operator, you will support daily testing and operations of autonomous vehicles while helping ensure the highest standards of safety and operational excellence.

Key responsibilities include:

• Safely operating autonomous test vehicles 4–8 hours per day
• Supporting vehicle testing, data collection, and operational missions
• Conducting basic software and system troubleshooting tasks
• Providing clear written and verbal feedback to engineering teams
• Assisting with vehicle readiness and preventative maintenance checks
• Supporting vehicle logistics, movement, and storage
• Ensuring vehicle cleanliness, readiness, and workplace organization
• Documenting operational metrics and observations
• Acting as a brand ambassador when interacting with the public

You’ll collaborate with teams across the company including:

• Autonomous Systems Engineering
• Computer Vision
• Vehicle Engineering
• Infrastructure
• Ride Operations
• Strategy and Product

WHAT WE'RE LOOKING FOR:

The ideal candidate is safety-focused, disciplined, detail-oriented, and comfortable working in a fast-paced technology environment.

Preferred qualifications:

• Experience troubleshooting technology or technical applications
• Professional driving experience (rideshare, delivery, military, public transit, etc.)
• Ability to remain focused during extended driving periods (up to 6 hours/day)
• Basic vehicle knowledge and the ability to perform vehicle checks
• Strong written and verbal communication skills
• Proactive mindset and strong problem-solving ability
• Excellent driving history and clean background
• Military experience is a plus
• Candidates who enjoy technology, robotics, mobility innovation, or automotive systems tend to thrive in this role.

SCHEDULE:

Monday – Friday

Morning Shift: 7:45 AM – 4:15 PM

Evening Shift: 3:45 PM – 12:15 AM

Shift Bonuses:

• +5% hourly pay for weekend shifts
• +5% hourly pay for evening shifts starting at 3:30 PM or later
• Up to +10% additional pay for weekend evening shifts

BENEFITS:

• Employer-subsidized healthcare coverage
• Pre-tax commuter benefits
• Flexible Spending Account (FSA)
• Short- and long-term disability coverage
• Life insurance
• 401(k) retirement plan
• Paid Time Off and Sick Leave

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.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Staff Product Manager to lead the strategy and execution for identity graph and data partnership initiatives, critical to enabling high-performance, privacy-compliant targeting across our CTV advertising platform. This role will focus on developing and refining identity resolution capabilities, managing graph-based data integrations, and expanding the reach and accuracy of our audience recognition and measurement infrastructure.

Success in this role will require a blend of deep technical expertise in identity data, graph modeling, and data architecture, as well as strong product instincts and cross-functional leadership skills. You will work closely with Engineering, Data Science, and external data partners to build a resilient and scalable identity foundation for precise audience targeting and measurement.

What you'll do:

• 
  
• Own the identity product strategy at tvScientific
  
  • 
    
  • Lead the product vision for tvScientific's identity graph, enabling persistent, multi-device recognition across CTV and digital channels.
    
  • tvSci Identity will service multiple teams throughout the product and engineering ecosystem, it will be your role to align with leadership of those teams to gather requirements, define goals and monitor success.
    
  • Partner with Data Engineering and Data Science to architect and optimize graph-based data models that represent user identity, household relationships, and device linkages.
    
  • Design APIs and services for real-time identity resolution, enrichment, and activation in programmatic ad workflows.
    
  
  
  
• Grow identity data partnerships
  
  • 
    
  • Source, evaluate, and onboard third-party identity and behavioral data providers to enhance graph completeness and targeting capabilities.
    
  • Work with Legal, Security, and Data teams to ensure all data partnerships comply with CCPA, GDPR, and other global privacy standards.
    
  • Lead the technical integration and operationalization of new identity and graph enrichment partners, ensuring reliable ingestion, mapping, and deployment.
    
  • Maintain an ongoing view of the identity and data ecosystem, and recommend partnership or build strategies accordingly.
    
  
  
  
• Deliver world-class adtech product
  
  • 
    
  • Write detailed product requirements, data specifications, and user stories for identity graph services and data integration projects.
    
  • Coordinate with Engineering and Infrastructure teams to deliver performant graph storage, traversal, and querying systems.
    
  • Support Sales, Marketing, and Customer Success with technical narratives that explain the role and value of identity resolution in CTV targeting.
    
  • Define and monitor key metrics related to graph quality (e.g., match rates, accuracy, persistence), identity coverage, and performance impact.
    
  
  
  
• Drive Industry Leadership
  
  • 
    
  • Stay current with advancements in privacy-enhancing technologies (PETs), identity standards, and regulatory shifts impacting identity data use in advertising.
    
  • Represent tvScientific in industry forums and with partners to position the company as a leader in CTV identity and data interoperability.
    
  
  
  

What we're looking for:

• 
  
• Experience in product management, technical partnerships, or solutions engineering roles focused on data-driven products, audience targeting, or marketing technology.
  
• Strong background working with Data Engineering and Data Science teams to operationalize audience strategies.
  
• Expertise in audience segmentation, identity resolution, data onboarding, and activation workflows.
  
• Experience sourcing, integrating, and managingthird-party data partnerships.
  
• Wide array of data analytics experience and a tenacity for driving to comprehension and organization of large datasets.
  
• Solid technical acumen - including APIs, data pipelines, audience graphs, and privacy frameworks. Ideal candidates should be able to operate directly on the datasets without engineering support.
  
• Exceptional communication skills, translating technical details into business value.
  
• Experience within the adtech ecosystem is required, with Connected TV (CTV) experience a strong plus.
  

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.
  

Relocation Statement:

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

#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.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We're looking for a Senior Backend Engineer to help design, build, and scale tvScientific's contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability.

You'll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales.

This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach.

What you'll do:

• 
  
• Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
  
• Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model
  
• Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems
  
• Develop APIs and services that serve customers, internal operations teams, and finance stakeholders
  
• Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions
  
• Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees
  
• Improve system observability, reliability, and performance as contract volume and complexity scale
  
• Own backend services and data models related to contracts and billing
  
• Lead technical design discussions and make pragmatic architectural decisions
  
• Write clean, well-tested, and maintainable code with a strong focus on correctness
  
• Drive improvements in data consistency, validation, and error handling across contract workflows
  
• Review code and mentor other engineers, setting a high bar for backend quality
  
• Collaborate cross-functionally to support new deal structures and evolving business models
  

What we're looking for:

• 
  
• Experience with billing/contract mechanisms (specifically affiliate platforms)
  
• Bachelor's degree in computer science, a related field or equivalent experience
  
• Experience building large-scale full-stack products.
  
• Deep understanding of web development and best practices in React/Redux
  
• Strong experience with programming languages Javascript and Python/Java
  
• Strong software engineering principles and practices
  
• Strong collaboration and communication skills
  
• Nice-to-Haves:
  
  • 
    
  • Experience working closely with finance or accounting teams
    
  • Background in building audit-friendly or compliance-sensitive systems
    
  
  
  

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.
  

Relocation Statement:

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

#LI-SM4

#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.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As aStaff Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats.This is anindividual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.

What you'll do:

• 
  
• Design and implement robust data infrastructure in AWS, using Spark with Scala
  
• Evolve our core data pipelines to efficiently scale for our massive growth
  
• Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
  
• Collaborate with our cross-functional teams to design data solutions that meet business needs
  
• Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
  
• Leverage and optimize AWS resources while designing for scale
  
• Collaborate closely with our Data Science and Product teams
  
• How we'll define success:
  
  • 
    
  • Successful design and implementation of scalable and efficient data infrastructure
    
  • Timely delivery and optimization of data assets and APIs
    
  • High attention to detail in implementation of automated data quality checks
    
  • Effective collaboration with cross-functional teams
    
  
  
  

What we're looking for:

• 
  
• Production data engineering experience
  
• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
  
• Experience in delivering significant technical initiatives and building reliable, large scale services
  
• Experience in delivering APIs backed by relationship-heavy datasets
  
• Familiarity with data lakes, cloud warehouses, and storage formats
  
• Strong proficiency in AWS services
  
• Expertise in SQL for data manipulation and extraction
  
• Excellent written and verbal communication skills
  
• Bachelor's degree in Computer Science or a related field
  
• Nice-to-haves:
  
  • 
    
  • Experience in adtech
    
  • Experience implementing data governance practices, including data quality, metadata management, and access controls
    
  • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
    
  • Familiarity with data table formats like Apache Iceberg, Delta
    
  • Previous experience building out a Data Engineering function
    
  • Proven experience working closely with Data Science teams on machine learning pipelines
    
  
  
  

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.
  

Relocation Statement:

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

#LI-SM4

#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.

Team & Mission

The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies.

We build the platform these products run on and are evolving it into our nextgen Measurement Hub, an extensible platform that enables faster product iteration, onboarding of new study types, and deeper integration with Pinterest's enterprise data and experimentation systems. Our mission is to measure true incremental impact and translate it into actionable insights for advertisers and partners.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest. You'll drive endtoend platform evolution (pipelines, services, correctness, reliability), partner closely with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement.

• 
  
• Own endtoend architecture and delivery of features for lift measurement products, from design and implementation through rollout and ongoing reliability.
  
• Design, build, and optimize largescale data pipelines that power study setup, experiment execution, and results computation.
  
• Drive AI enablement across the team by building the supporting tooling and processes (CI checks, test strategy, templates), coaching engineers, and ensuring adoption results in sustained improvements to delivery speed and system quality.
  
• Translate measurement methodology into production systems: partner with Data Science to operationalize study design requirements into pipelines, services, tooling, and guardrails.
  
• Build "rigor by default" mechanisms: automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
  
• Raise the bar on data quality and trust: define SLAs, build monitoring and anomaly detection, and lead rootcause analysis for pipeline and study issues.
  
• Mentor and up level engineers, driving strong technical execution and crossfunctional collaboration.
  

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on dataintensive systems.
  
• Strong proficiency building and operating largescale data pipelines (batch and/or streaming) using Java/Scala/Kotlin or Python, plus SQL.
  
• Experience designing reliable services and APIs, with solid foundations in distributed systems, data modeling, and performance optimization.
  
• Demonstrated ability to transform a team's engineering workflow using AI-from pilot to broad adoption-through tooling, enablement, and change leadership, with clear metrics (cycle time, defect rate, on-call load, incident rate).
  
• Experience in AdTech and measurement products (e.g., conversion lift, brand lift) or adjacent experimentation/analytics platforms.
  
• Working knowledge of experimentation and causal measurement fundamentals (randomization, holdouts, confounders, significance, power).
  
• Practical experience with backtesting, controlled rollouts, and continuous verification for correctness in measurement/analytics systems.
  
• Demonstrated ability to lead large crossfunctional initiatives, drive alignment, and deliver measurable impact through technical leadership.
  

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
  

Relocation Statement:

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

#LI-REMOTE

#LI-KK6

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.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

tvScientific is looking for aSenior QA Engineer for its Web Platformwith strong expertise inweb and API testing. This role requires a balance ofmanual testing excellenceandautomation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.

You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.

What you'll do:

• 
  
• Own and drivequalityfor web platform features, spanning UI, APIs, and backend services
  
• Design and executemanual test casesandexploratory testingfor complex web and API workflows
  
• Conduct thorough regression testing when bugs are resolved.
  
• Build and maintainautomated test suitesfor:
  
• Validatefrontend-backend integration, data consistency, and error handling
  
• PerformAPI contract testing, schema validation, and negative/edge-case testing
  
• Collaborate with engineers duringdesign, implementation, and code reviewsto improve testability and catch issues early
  
• Integrate automated tests intoCI/CD pipelinesto provide fast, reliable feedback
  
• Analyze test failures, investigate root causes, and drive issues to resolution
  
• Advocate for quality best practices, includingshift-left testing, risk-based testing, and automation strategy
  
• Identify, document, and track software defects using bug tracking tools like Jira.
  
  

What we're looking for:

• 
  
• Experience in QA / Quality Engineering, with a strong focus onweb platforms and APIs
  
• Proven hands-on experience withmanual testingof complex, consumer-facing web applications
  
• Strong experience building and maintainingAPI testsusing tools such as Postman, REST-assured, Supertest, or similar
  
• Hands-on experience withweb automation frameworks(Playwright, Cypress)
  
• Solid understanding ofHTTP, REST and API design principles
  
• Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
  
• Experience working inAgile/Scrumenvironments
  
• Strong debugging, analytical, and communication skills
  
• Strategic partnership with stakeholders /Cross-functional collaboration that is high-trust and high-velocity
  
• Nice-to-Haves:
  
  • 
    
  • Experience testinglarge-scale, high-traffic web platforms
    
  • Familiarity withReact or modern frontend frameworks
    
  • Experience withperformance, load, or reliability testingfor APIs and web applications
    
  • Exposure to feature flags, experimentation platforms, or observability tools
    
  
  
  

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.
  

Relocation Statement:

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

#LI-SM4

#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:

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• 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:

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• 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:

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

#LI-HYBRID

#LI-SM4

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

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

Our Commitment to Inclusion:

About 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.

Sr. Engineering Manager, AI/ML Serving Platform

The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).

Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:

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• Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  
• Production GenAI & LLM model inference stack for emerging use cases.
  
• Model routing, deployment, monitoring. Kubernetes-based provisioning.
  
• Feature fetching, caching, and logging
  

What you'll do

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• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  
• Set technical direction for the team based on company and org priorities
  
• Coach and develop talent on the team.
  

What we're looking for:

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• Experience managing platform engineering teams with many cross-organizational customers
  
• Experience leading the development of large-scale distributed serving systems
  
• Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  
• Bachelor's degree in Computer Science, a related field or equivalent experience.
  

In-Office Requirement Statement:

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• 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-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: