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Director Graduate Machine Learning Jobs in Seattle, WA

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Undergraduate or graduate degree in computer science or similar technical field * 4+ years ... The work you do here will have a noticeable and direct impact on the development of the company.

Hive

Machine Learning Manager

Seattle, WA

$180K - $250K/yr

Undergraduate or graduate degree in computer science or similar technical field * 4+ years ... The work you do here will have a noticeable and direct impact on the development of the company.

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

You have an undergraduate or graduate degree in computer science or similar technical field, with ... The work you do here will have a noticeable and direct impact on the development of the company.

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

You have an undergraduate or graduate degree in computer science or similar technical field, with ... The work you do here will have a noticeable and direct impact on the development of the company.

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems. You'll help build and ...

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

This position is an individual contributor role reporting to the Director, Machine Learning Engineering. Responsibility * Build and maintain high-performance distributed systems to support large ...

Visa

Senior Director- Machine Learning

Bellevue, WA

Experience with Generative AI and Machine Learning is essential. Prior background in payments and AI is a strong plus. * The successful candidate will thrive in the dynamic payments space and be ...

Geico

Director, Machine Learning Engineering

Seattle, WA · On-site

$150K - $300K/yr

Director - Runtime Intelligence & Personalization Overview We areseekinga strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own ...

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All JobsGraduate Machine Learning JobsDirector Graduate Machine Learning JobsDirector Graduate Machine Learning Jobs in Seattle, WA

Director Graduate Machine Learning information

See Seattle, WA salary details

$68.3K

$118K

$186.1K

How much do director graduate machine learning jobs pay per year?

As of Jul 31, 2026, the average yearly pay for director graduate machine learning in Seattle, WA is $117,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $134,900.00 per year, depending on experience, location, and employer.

What is the difference between Director Graduate Machine Learning vs Data Scientist?

AspectDirector Graduate Machine LearningData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), strong machine learning backgroundTypically Bachelor's or Master's, focus on data analysis and modeling
Work EnvironmentLeadership role, strategic planning, overseeing teamsHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, research institutions, large enterprisesVariety of industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in MLData analysis and modeling skills

The main difference is that a Director Graduate Machine Learning typically holds a leadership position overseeing ML teams and strategy, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on hands-on data analysis, modeling, and experimentation without necessarily managing teams or setting strategic direction.

What are the most commonly searched types of Graduate Machine Learning jobs in Seattle, WA? The most popular types of Graduate Machine Learning jobs in Seattle, WA are:
Director Graduate Machine Learning jobs near you

Member of Technical Staff - Machine Learning Capabilities, New Graduates

Preference Model

Seattle, WA • On-site

$165K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 17 days ago

Job description

About Us
Preference Model is building automated ML research engineering.
Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environments. Our first step is to build RL environments that reflect real-world complexity, with diverse tasks and robust reward functions.
Our founding team has previous experience on Anthropic's data team building data infrastructure, and datasets behind Claude. We are partnering with leading AI labs to push AI closer to achieving its transformative potential.
About the Role
We're hiring new graduate Machine Learning Engineers to design and build reinforcement learning environments to safely advance model capabilities in machine learning research and engineering. Specifically, you'll be teaching frontier models to do the work of an ML engineer or researcher at a frontier lab.
This role blends research and engineering. It will require you to stay up to date with the latest research, develop novel approaches, and realize them in code. You will have full ownership and autonomy of the environments you build. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers and engineers.
You will join our Capabilities org, a small, high-ownership team and contribute directly to the data layer that powers frontier LLM capability.
Note: this role is for recent graduates only who can start soon.
What You Will Do:
  • Design and build RL environments and reward schemes that produce clean, learnable signals for frontier models on ML research and engineering tasks.
  • Build deep expertise across the frontier of ML research, training, and inference infrastructure.
  • Collaborate with others to brainstorm and create new ideas and tools to improve the environment building process.
What We are Looking For (Qualifications):
  • You have strong ML fundamentals and broad research interests. You read many papers or tutorials, understand topics deeply and have the creativity to translate them into RLVR problems.
  • Expert knowledge in an active DL/ML research area, with publications or public code to show for it.
    • Research experience (PhD, MS) is a strongly preferred.
  • Deep understanding of transformer internals
  • Proficiency in Python, Numpy, and systems programming; ideally PyTorch or JAX
  • Smart problem solvers who take ownership and drives solutions end-to-end
  • Passion for staying current with the rapidly evolving ML infrastructure landscape
  • Ability to meet throughput expectations and respond quickly to feedback
Nice to have:
  • Strong expertise in kernel development (CUDA, Triton, Pallas), optimizing non-trivial neural modules to specific hardware
  • Research projects, coursework, or personal work involving RL environments (any framework, any scale)
  • Open-source contributions to ML infrastructure or RL tooling
  • Experience with any cloud platform (AWS, GCP, Azure) or infrastructure-as-code tools
What We Offer:
  • Competitive cash and equity compensation (>90th percentile)
  • Ownership and autonomy in a fast moving startup environment
  • Opportunity to work with top machine learning engineers
  • Health, vision, dental, benefits
  • 401K match
  • Lunch provided everyday onsite
  • Weekly snack orders
  • Visa sponsorship & relocation support available

We value diverse perspectives and experiences. If you're excited about this role but don't check every box, we still encourage you to apply.

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