Engineering Structures Login Jobs in Oakland, CA

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The F-22 Raptor Team is seeking a Senior Design and Analysis Engineer in Berkeley, MO or Richardson, TX to join the F-22 Raptor Mission Design and Analysis Team with a focus on developing cutting edge engineering solutions to continue to advance the world's premier air superiority fighter.

As a Senior Design and Analysis Engineer, you will be responsible for developing engineering solutions for the F-22 Raptor, including both enhancing existing field units with the addition of new capabilities, as well as architecting and testing completely new systems. In this role, you will be joining a cross-functional team to progress our products through the development lifecycle. Tasks include developing requirements to support customer needs, designing a networked architecture to enable new capabilities, and analyzing test data.

Position Responsibilities:

• Collaborates with Responsible Engineers, customer technical staff, suppliers, and Lockheed Martin teammates to develop and document complex electronic and electrical system requirements for F-22 avionics sub-systems and weapon system architecture
• Analyzes and translates requirements into system architecture, hardware and software designs and interface specifications in support of lab and operational environments
• Analyzes test data, including off-nominal data, for accuracy, quality and/or fidelity prior to delivery to customer

Basic Qualifications (Required Skills and Experience):

• Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement.
• 9+ years of related work experience and a bachelor's degree or an equivalent combination of related work experience and technical education
• Ability to obtain F-22 Special Access Program (SAP) clearance
• Capable of traveling 10% of the time

Preferred Qualifications (Desired Skills and Experience):

• Must be able to work in a fast-paced, collaborative environment, engaging with multiple teams and being responsive to agile requirements and critical path customer need dates
• Experience in avionics, electrical, and/or a mission systems role
• Experience with agile development methodologies

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:

• Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting
• Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range:

Berkeley, MO: $136,850-$185,150

Richardson, TX: $146,200-$197,800

Applications for this position will be accepted until Mar. 27, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Title - Senior Mechanical Design Engineer

Location – Oakland CA

Duration – Fulltime

Key Responsibilities:

• As a Senior Mechanical Design Engineer (MEP) at Interface, you will be taking ownership as a discipline lead on multiple projects. Your duties will include (but may not be limited to):
• HVAC system selection, engineering & design.
• Preparation of HVAC drawings, analysis, specifications, and calculations.
• Demonstrate excellent communication skills.
• Provide oversight of HVAC support staff.
• Provide construction administration & site observations related to your projects.
• Provide exemplary service to team members and clients.

Required:

• BS/Mechanical Engineering, or equivalent experience.
• 7+ years' MEP/AEC design and consulting experience.
• Advanced knowledge of HVAC systems in public safety, educational, and commercial sectors.
• Knowledge of industry codes and standards
• Demonstrated interaction with clients in meetings or presentations

Preferred:

• A Professional Engineering License
• LEED Accreditation
• Working IES-VE knowledge

What You'll Love

• Employee Ownership: Build equity through our Employee Stock Ownership Plan (ESOP)
• Robust Benefits: 401(k), medical/dental/vision, life & disability insurance, transportation benefits...and more!
• Generous Time Off: PTO, paid holidays, and company closure to clients from Christmas to New Year's
• Purpose-Driven Culture: Paid volunteer time and a commitment to social equity
• Career Development: Work alongside industry leaders and access continuous learning opportunities

Eximietas Design is a leading technology consulting and solutions development firm specialising in the VLSI, Cloud Computing, Cyber Security, and AI/ML domains. Our success is anchored in the unparalleled expertise of our engineering leadership team, whose collective experience spans renowned tech giants. With a commitment to innovation and excellence, we deliver cutting-edge solutions that empower businesses to thrive in the ever-evolving digital landscape.

Location: Bay Area, CA

Employment Type: Full-Time

Minimum Qualifications:

● Bachelor’s degree in computer science or electrical/Electronics Engineering

● Over 10 years of experience in Design Verification

● Strong understanding of design concepts and ASIC verification flow

● Proven experience in IP, Subsystem, and SoC verification

● Hands-on expertise with high-speed protocols and their controllers (PCIe/USB/DDR/ Ethernet/MIPI/UFS)

● Proficient in System Verilog and UVM coding

● Solid understanding of RAL (Register Abstraction Layer)

● Practical experience integrating third-party VIPs

● Excellent problem-solving, analytical, and debugging skills

● Mandatory exposure to at least one of the following: GLS, UPF, Performance Verification, Meta stability simulation, Boot-up (C–SV/UVM) handshakes and C testcase development

● Demonstrated capability in Subsystem testbench development and SoC-level verification

● Strong knowledge of AMBA protocols including AXI, APB, and AHB

● Hands-on experience with revision control systems such as Git, SVN, or Perforce

● Experience in a team lead role with responsibilities in guiding, mentoring, and ensuring effective collaboration across teams

As a Lead verification engineer candidate will be responsible to work at IP, Subsystem or

SoC verification-related tasks.

Responsibilities:

● Develop testbench components (Driver, Monitor, Scoreboard) from scratch or enhance an existing testbench for a given IP, Subsystem, or SOC.

● Understand design specifications and implementation to define the verification strategy.

● Create testbench micro-architecture, test plan, and coverage plan documents.

● Define the verification scope, develop test plans and tests, and establish the verification infrastructure to ensure design correctness.

● Implement System Verilog assertions and functional coverage.

● Analysed code coverage and address missing scenarios to meet coverage goals.

● Work with other verification team members to develop, execute, and analyse verification test cases and sequences, providing relevant solutions to issues.

● Collaborate with architects, designers, and pre- and post-silicon verification teams to meet deadlines.

● Coordinate with customer leads, ensuring all deliverables and timelines are met.

● Serve as the project's point of contact, responsible for verification signoff.

Apply/Refer -

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.

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.

Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.

What you'll do:

• 
  
• Improve relevance and the user experience on Homefeed
  
• Work on state-of-the-art large-scale applied machine learning projects
  
• Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
  
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
  

What we're looking for:

• 
  
• Languages: Python, Java
  
• Machine Learning: PyTorch, Tensorflow
  
• Big data processing: Spark, Hive, MapReduce
  
• 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
  
• 7+ years experience with large scale distributed backend service
  
• Experience in working in Deep learning and Generative AI models
  
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
  
• Bachelors in 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.
  

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-DM57

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:

We're working with a fast growing AI startup in SF that's hiring a Forward Deployed Engineer to help identify and build high-impact solutions across the business.

This isn't a typical engineering role.

You'll be embedded directly with teams across sales, operations, and customer experience, spotting inefficiencies and quickly building AI tools, automations, and systems to solve them.

The focus is on impact, not perfection.

What makes it interesting is the environment:

• High ownership and real business impact

• Working across multiple functions, not just engineering

• Rapid build and ship cycles where ideas go live in days

• Constant exposure to the latest AI tools and capabilities

• 14 hour days in a high-intensity environment where you move fast and see results immediately

They're looking for people who:

• Are strong technical generalists (Python, TypeScript, SQL)

• Think in terms of business outcomes, not just code

• Are comfortable building quickly and iterating in real time

• Can communicate clearly with non-technical stakeholders

• Want to work at the intersection of AI and real-world operations

SF based, in office

$140K to $200K + bonus + equity

If this sounds interesting, feel free to message me or get in touch.

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 a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• 
  
• Write production Python that powers real-time bidding, model training, and campaign optimization
  
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  
• Serve as a technical lead and mentor on a distributed engineering team
  

What we're looking for:

• 
  
• Strong production Python skills: you write code that runs in prod, not just notebooks
  
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  
• Familiarity with modern AI tools and good judgment about where they add value
  
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  
• Clear written communication: we're a distributed team and writing is how decisions get made
  
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  
• Nice-to-Haves:
  
  • 
    
  • Teaching experience
    
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • Reinforcement learning or bandit algorithms in production
    
  • Experience building agentic AI systems or LLM-powered workflows
    
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

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.

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:

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• 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:

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• 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:
  
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  • 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:

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• 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:

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

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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: