1

Machine Learning Infrastructure Engineer Jobs in Seattle, WA

Infrastructure Engineer

Seattle, WA ยท On-site

$130K - $225K/yr

The company leverages over a decade of advanced research in robotics and machine learning, as well ... Overland AI is looking for an experienced Infrastructure Engineer to help design, build, and ...

Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams ... machine learning engineering, with a strong focus on AI/ML applications in insight generation ...

... machine learning, ranking infrastructures, and system design Company : Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and ...

New

... Engineer to help us build a highly-scalable computational drug discovery platform. Vilya is a team ... Develop and maintain the infrastructure to support machine learning workflows for drug discovery at ...

next page

Showing results 1-20

Machine Learning Infrastructure Engineer information

See Seattle, WA salary details

$52.9K

$144.6K

$207.1K

How much do machine learning infrastructure engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning infrastructure engineer in Seattle, WA is $144,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $160,500.00 per year, depending on experience, location, and employer.

What is a Machine Learning Infrastructure Engineer job?

A Machine Learning Infrastructure Engineer designs, builds, and maintains the systems that support the development and deployment of machine learning models. This includes managing data pipelines, optimizing model training and inference, and ensuring scalability and reliability in production environments. They work closely with data scientists, ML engineers, and DevOps teams to create efficient workflows and infrastructure. Key technologies often include cloud platforms, containerization, orchestration tools, and distributed computing frameworks.

What are the key skills and qualifications needed to thrive in the Machine Learning Infrastructure Engineer position, and why are they important?

To thrive as a Machine Learning Infrastructure Engineer, you need a strong background in computer science, cloud computing, distributed systems, and experience with machine learning frameworks, often supported by a degree in a related field. Familiarity with tools such as Docker, Kubernetes, Terraform, as well as cloud platforms like AWS, GCP, or Azure, and certifications in cloud or DevOps technologies are highly valued. Strong problem-solving abilities, effective communication, and collaboration skills help engineers work seamlessly with data scientists and cross-functional teams. These skills are essential to design, implement, and maintain robust, scalable infrastructure that enables efficient machine learning development and deployment.

What are some common challenges faced by Machine Learning Infrastructure Engineers, and how can these be addressed on the job?

Machine Learning Infrastructure Engineers often face challenges such as ensuring infrastructure scalability, managing resource allocation, and maintaining system reliability while supporting rapid experimentation by data science teams. Balancing the needs for flexibility in research environments with production-grade stability requires a deep understanding of both engineering best practices and the unique requirements of machine learning workflows. Collaboration with data scientists, clear communication about infrastructure capabilities, and staying current with fast-evolving technologies are key strategies for success. Most companies encourage ongoing learning and provide opportunities to contribute to architecture decisions, which makes this a rewarding environment for problem-solvers and innovators.
What are popular job titles related to Machine Learning Infrastructure Engineer jobs in Seattle, WA? For Machine Learning Infrastructure Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Infrastructure Engineer jobs in Seattle, WA look for? The top searched job categories for Machine Learning Infrastructure Engineer jobs in Seattle, WA are:
Infographic showing various Machine Learning Infrastructure Engineer job openings in Seattle, WA as of May 2026, with employment types broken down into 90% Full Time, 4% Part Time, 5% Contract, and 1% Summer. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $144,605 per year, or $69.5 per hour.
Senior Machine Learning Infrastructure Engineer

Senior Machine Learning Infrastructure Engineer

Unity Technologies

Bellevue, WA โ€ข On-site

$122.50K - $166.50K/yr

Other

Medical, Life, Retirement, PTO

Posted 20 days ago


Job description

The opportunity
Unity is looking for a Senior Machine Learning Infrastructure Engineer to join our Vector Ads team, where we build the real-time systems that power Unity's global advertising platform. This is a high-scale, low-latency environment - processing billions of requests daily to deliver fast, relevant ads to players around the world.

You'll build and operate the infrastructure that brings ML models from training into production, ensuring our ranking, bidding, and targeting systems run reliably at scale. This is a great opportunity for an engineer who's excited to work at the intersection of ML systems and distributed infrastructure, collaborate across teams, and have direct impact on how machine learning shapes the player and advertiser experience.

What you'll be doing

  • Design, build, and maintain the infrastructure that serves ML models in real-time across Unity's ads ecosystem
  • Build and operate scalable model serving pipelines - owning latency, throughput, and reliability in a high-QPS production environment
  • Partner with ML engineers to productionize models, manage model deployments, and improve iteration speed
  • Improve observability, performance, and cost-efficiency of ML serving infrastructure
  • Contribute to architectural decisions around feature serving, model versioning, and inference optimization

What we're looking for

  • Experience building and operating ML infrastructure or model serving systems in production
  • Proficiency in Golang or Python, with strong systems engineering fundamentals
  • Hands-on experience with Kubernetes and container orchestration at scale
  • Familiarity with ML serving frameworks such as Ray Serve, Triton, TorchServe, or similar
  • Understanding of distributed systems, API design, and system reliability
  • Strong collaboration and communication skills in a remote-first environment

You might also have

  • Experience with feature stores, feature pipelines, or online/offline feature serving
  • Background in ad tech, real-time bidding, or programmatic advertising systems
  • Familiarity with infrastructure-as-code such as Terraform
  • Experience with observability tooling - Prometheus, Grafana, OpenTelemetry
  • Background with real-time data pipelines, caching layers, or low-latency serving systems

Additional information

  • Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-ED1