ZipRecruiter

Log In

1

Senior Staff Machine Learning Engineer Jobs in Seattle, WA

Remitly

Staff Machine Learning Engineer

Seattle, WA · On-site

$208K - $260K/yr

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our ... Demonstrated experience leading cross-functional ML initiatives and mentoring senior engineers.

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Geico

Staff Machine Learning Engineer

Seattle, WA

$130K - $260K/yr

GEICO is seeking a Staff AI engineer to join our AI org. This person will play key technical leadership roles for the development of Geico's virtual agent platform that elevates the productivity and ...

Haus

Staff Machine Learning Engineer - Seattle

Seattle, WA · On-site

$250K - $270K/yr

This role specifically will work deeply on the cMMM machine learning problem space. The role will be a blend of working with applied scientists, data scientists, data engineers and other MLEs to ...

next page

Showing results 1-20

All JobsStaff Machine Learning Engineer JobsSenior Staff Machine Learning Engineer JobsSenior Staff Machine Learning Engineer Jobs in Seattle, WA

Senior Staff Machine Learning Engineer information

See Seattle, WA salary details

$67.7K

$144K

$208.8K

How much do senior staff machine learning engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior staff machine learning engineer in Seattle, WA is $144,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $163,300.00 per year, depending on experience, location, and employer.

What does a senior staff machine learning engineer do?

A Senior Staff Machine Learning Engineer leads the design, development, and deployment of complex machine learning systems within an organization. They work closely with cross-functional teams to identify business challenges that can be addressed with machine learning and guide the technical strategy for implementing solutions. Their responsibilities often include mentoring junior engineers, setting best practices, overseeing large-scale projects, and ensuring models are robust, scalable, and ethically implemented. Additionally, they may contribute to research and development, staying up-to-date with the latest advancements in the field.

What are the primary challenges a senior staff machine learning engineer faces when leading large-scale ML projects?

Senior Staff Machine Learning Engineers often navigate complex challenges such as aligning cross-functional teams, ensuring model scalability, and maintaining data integrity across evolving pipelines. They are responsible for setting technical direction, mentoring junior engineers, and driving collaboration between data scientists, software engineers, and product managers. Balancing hands-on technical work with high-level architectural decisions, while also keeping up with rapid advancements in the field, is key to success in this role.

What are the key skills and qualifications needed to thrive as a senior staff machine learning engineer, and why are they important?

To thrive as a Senior Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, software engineering, and a relevant advanced degree (often MS or PhD). Mastery of tools such as Python, TensorFlow, PyTorch, distributed computing frameworks, and experience with cloud platforms is typically required. Strong leadership, communication, and project management skills distinguish top performers in this role. These abilities are crucial for designing scalable ML solutions, leading teams, and driving impactful business outcomes.

What is the difference between Senior Staff Machine Learning Engineer vs Machine Learning Engineer?

AspectSenior Staff Machine Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's/PhD in CS, AI, or related; experience in ML frameworksBachelor's/Master's in CS, AI, or related; some experience in ML
Work EnvironmentLeadership roles, cross-team collaboration, strategic planningImplementation, model development, experimentation
Industry UsageTech companies, research labs, large enterprisesStartups, tech firms, research projects

The Senior Staff Machine Learning Engineer typically holds a more senior, strategic role with leadership responsibilities, while the Machine Learning Engineer focuses on developing and deploying ML models. Both roles require strong technical skills, but the senior position involves guiding projects and mentoring teams.

What are popular job titles related to Senior Staff Machine Learning Engineer jobs in Seattle, WA?

For Senior Staff Machine Learning Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Senior Staff Machine Learning Engineer jobs in Seattle, WA look for?

The top searched job categories for Senior Staff Machine Learning Engineer jobs in Seattle, WA are:

Senior Staff Machine Learning Engineer jobs near you
Infographic showing various Senior Staff Machine Learning Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 1% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $144,025 per year, or $69.2 per hour.

Senior Staff Machine Learning Engineer

Scowtt Inc

Seattle, WA • On-site

$220K - $280K/yr

Full-time

Re-posted 25 days ago

Job description

About Scowtt
Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales experiences. By integrating CRM, web signals, and product interaction data into a real-time conversion model, we help businesses turn interest into action-immediately. We're growing fast, and onboarding new customers quickly and cleanly is core to our success.
About the Role
We are looking for a Senior Staff Machine Learning Engineer to lead and evolve the ML systems that power our Marketing AI and AI Sales Agents.
This is a hands-on technical leadership role owning ML end-to-end - from model architecture and experimentation to production, scale, and long-term system health. You will build core IP: models that directly influence conversion rates, ROAS, and customer value across major ad networks.
What You'll Do
  • End-to-end ownership of ML systems, from research and modeling to deployment and scale
  • Design and evolve next-generation conversion and value prediction models using behavioral, CRM, and engagement data
  • Fine-tune and specialize LLMs (e.g., SFT, LoRA, PEFT) to power AI Sales Agents focused on reasoning, persona alignment, and long-term conversion outcomes
  • Drive high-speed feedback loops between ML systems and ad platforms
  • Design systems for continuous training, monitoring, and rapid experimentation
  • Solve systemic ML problems around data quality, drift, reliability, and velocity
  • Mentor senior ML engineers and raise the organization's ML bar
  • Follow and enforce security best practices, including secure coding, proper handling of sensitive data, authentication/authorization controls, and compliance with company security policies.

Qualifications:
Must Have
  • Bachelor's degree in Computer Science, ML, Data Science, or equivalent
  • 10+ years of experience in software product development
  • 6-10 years of experience in applied machine learning and production ML systems
  • 6-10 years of experience in deploying and operating ML models at scale
  • 6-10 years of experience and strong hands-on skills with Python and modern ML frameworks (PyTorch, TensorFlow)

Should Have
  • Experience designing models for prediction, ranking, recommendation, or personalization
  • Strong understanding of LLM fine-tuning techniques and production usage
  • Ability to operate across research, experimentation, and high-scale production systems
  • Proven ability to influence technical direction through architecture and execution

Nice to Have
  • Experience with transformer-based sequence models or multimodal architectures
  • Familiarity with ad-tech, mar-tech, sales-tech, or CRM ecosystems
  • Experience building ML platforms, experimentation systems, or MLOps tooling
  • Experience leading multi-quarter ML initiatives
What Success Looks Like
  • ML systems materially improve customer ROI and conversion outcomes
  • Teams move faster because of your systems and decisions
  • Technical architecture scales cleanly with product ambition
  • You create durable ML leverage across the company

Pay range and compensation package
Based on the level hired at and location, the base salary for this role ranges between $220,000 to $280,000. Selected candidate/s will be eligible for standard benefits and attractive startup equity.
Equal Opportunity & E-Verify Employer
Scowtt is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace free of discrimination and harassment.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please visit www.e-verify.gov.

Apply