
Sr. Software Engineer, ML Platform, tvScientific
Pinterest · United States
- Hybrid
- Full-time
- $320,000 / year
- United States
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Job highlights
- Build ML platform infrastructure for a CTV advertising company.
- Drive revenue growth through critical infrastructure development.
- Develop next-gen training and serving stacks.
- Focus on Kubernetes, Ray, and distributed systems.
- Lead technical initiatives and mentor engineering team.
About the role
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 the flexibility 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 looking for an experienced ML Platform Engineer to join a team at the intersection of sysops, systems programming, architecture, and large-scale deployments. Our platform underpins tvScientific’s distributed real-time bidding agent and ML training system that together drive $100M+ in annual revenue, giving you the opportunity to work on some of the most business-critical infrastructure in the company.
As part of our team, you’ll think about datasets in terms of bytes, microseconds, and serialization formats, and help define the next generation of our training and serving stack. A flagship initiative for the coming year is building a Kubernetes + Ray backend for our model training pipelines, setting a new bar for scale and reliability. If topics like data locality, observability and anomaly detection, distributed databases, high-performance computing, array programming languages, data security, and reproducibility excite you (even if it’s just a subset), your expertise could play a key role in shaping tvScientific’s ML innovation in 2026 and beyond.
What You'll Do
- Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
- Improve the developer experience for the data science team
- Upgrade our observability tooling
- Serve as a technical lead and mentor to the team
- Make every deployment smooth as our infrastructure evolves.
What We're Looking For
- Deep understanding of Linux
- Excellent writing skills
- A systems-oriented mindset
- Experience in high-performance software (RTB, HFT, etc.)
- Software engineering experience + reliability (e.g. CI/CD) expertise
- Strong observability instincts
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
- 4+ years of industry experience
- Bachelor’s degree in computer science, machine learning, statistics, a related field or equivalent experience
Nice-To-Haves
- Reverse-engineering experience
- Terraform, EKS, or MLOps experience
- Python, Scala, or Zig experience
- NixOS experience
- Adtech or CTV experience
- Experience deploying a distributed system across multiple clouds
- Experience in hard real-time low-latency
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.
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.
US based applicants only
$155,584—$320,320 USD
Our Commitment To Inclusion
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristic (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
Key skills/competency
- Senior ML Platform Engineer
- Linux
- High-performance software
- Observability
- Kubernetes
- Ray
- Distributed systems
- CI/CD
- Systems programming
- MLOps
Skills & topics
- ML Platform Engineer
- Machine Learning
- Software Engineering
- Linux
- High-Performance Computing
- Kubernetes
- Ray
- Distributed Systems
- Observability
- CI/CD
- Adtech
- CTV
How to get hired
- Tailor your resume: Highlight Linux expertise, high-performance software experience, and CI/CD proficiency.
- Showcase AI collaboration: Detail your experience using AI to improve speed and quality in your work.
- Emphasize ownership: Demonstrate your integrity, accountability, and critical evaluation of AI-assisted tasks.
- Prepare for technical interviews: Be ready to explain your approach to complex systems and problem-solving.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the salary range for a Senior ML Platform Engineer at Pinterest (tvScientific)?
- The base salary range for a Senior ML Platform Engineer at Pinterest (tvScientific) is $155,584 to $320,320 USD annually. This position is also eligible for equity.
- What are the key technical skills required for the Senior ML Platform Engineer role at Pinterest (tvScientific)?
- Key technical skills include a deep understanding of Linux, experience in high-performance software (like RTB or HFT), strong observability instincts, and expertise in CI/CD. Experience with Kubernetes, Ray, and distributed systems is also highly valued.
- What is the work arrangement for the Senior ML Platform Engineer position at Pinterest (tvScientific)?
- The job description mentions an 'In-Office Requirement Statement' and directs candidates to the 'PinFlex page' for more information on the working model, suggesting it may not be fully remote. Specific details on hybrid or on-site expectations would need to be clarified.
- What AI experience is Pinterest (tvScientific) looking for in this role?
- Pinterest (tvScientific) is looking for candidates who can demonstrate using AI to improve their own workflow speed and quality. They also value a strong track record of critically evaluating AI-assisted work, such as through testing and data validation.
- What is the primary focus of the ML Platform Engineer role at tvScientific?
- The role focuses on building and scaling the ML platform infrastructure that supports tvScientific's real-time bidding agent and ML training systems, which are critical for driving over $100M in annual revenue.
- What are some of the future initiatives for the ML Platform at tvScientific?
- A flagship initiative for the coming year is building a Kubernetes + Ray backend for model training pipelines to enhance scale and reliability, setting a new industry bar.
- Does Pinterest (tvScientific) offer relocation assistance for this role?
- No, this position is not eligible for relocation assistance. Candidates are encouraged to learn more about the working model on Pinterest's PinFlex page.
- What is the required educational background for the Senior ML Platform Engineer role?
- A Bachelor's degree in computer science, machine learning, statistics, a related field, or equivalent experience is required. The company also values practical industry experience.
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