Full Stack ML Engineer (Onsite – Bellevue, WA)

Build the systems that power large-scale machine learning training.

We’re partnering with a highly respected AI research and engineering organization to hire a Full Stack Engineer focused on building end‑to‑end systems that support machine learning model training, experimentation, and evaluation — including work on large language models.

This role sits at the intersection of software engineering and applied ML. You’ll design and ship internal tools used daily by researchers and engineers to move faster, debug training issues, and ship higher‑quality models.

Location: Bellevue, WA

Work model: Onsite (5 days/week)

What You’ll Work On

Build and scale internal ML workflow systems: dataset creation, training orchestration, experiment tracking, evaluation, and model/version management
Contribute hands-on to model training and fine-tuning efforts (LLMs preferred, other deep learning experience welcome)
Develop backend services and APIs in Python supporting training and evaluation pipelines
Build TypeScript-based UIs that allow users to launch runs, compare experiments, inspect metrics, and debug failures
Design efficient SQL schemas and queries with attention to performance and indexing tradeoffs
Improve reliability and reproducibility of ML systems through testing, CI/CD, monitoring, and safe rollouts
Partner closely with ML researchers, infrastructure, and product teams to turn ambiguous needs into shipped systems

What We’re Looking For

8+ years of professional software engineering experience, owning complex systems in production
Strong full-stack experience across Python backend, SQL data layers, and TypeScript frontends
Hands-on experience with machine learning training workflows (beyond calling model APIs)
Experience training or fine-tuning ML models (LLMs a plus)
Solid understanding of SQL performance fundamentals (query design, indexing, debugging slow queries)
Comfortable operating in ambiguous, fast‑moving environments with high ownership

Nice to Have

Experience building internal ML developer tooling (experiment tracking, eval frameworks, model registries)
Familiarity with training infrastructure concepts (orchestration, checkpointing, failure recovery)
Exposure to LLM evaluation methods and quality metrics
Startup or research‑adjacent engineering roles

Why This Role

Work on cutting‑edge machine learning systems with real research impact
High ownership and technical depth — not a narrow product role
Collaborative team environment focused on quality, speed, and experimentation

Job Type & Location

This is a Contract position based out of Bellevue, WA.

Pay and Benefits

The pay range for this position is $70.00 - $90.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully onsite position in Bellevue,WA.

Application Deadline

This position is anticipated to close on May 26, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

TEKsystems

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