Senior Machine Learning Engineer (Active Secret Clearance)
Striveworks
Tacoma, WA · Posted July 21, 2026
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Where Tacoma, WA ranks
Where Tacoma, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #3Best college towns for junior jobs in the Pacific Northwest36% · of 13
- #3Cities where the biggest share of jobs do not need a four-year degree in the Pacific Northwest17% · of 12
- #3Best cities for junior jobs in Washington34% · of 12
- #5Cities with the most jobs that need no experience in the Pacific Northwest0.8% · of 16
- #5Cities with the most hybrid jobs in the Pacific Northwest10% · of 16
- #5Best cities for junior jobs in the Pacific Northwest34% · of 17
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 96 open senior machine learning engineer listings that state pay, the middle half runs $195,500 to $257,000 and the median is $225,500.
Listed pay is what employers advertise, not what people are paid.
Senior Machine Learning Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
“In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco, Cofounder and CEO, Striveworks
The government’s demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with it.
Striveworks was built to solve that problem.
What you’ll build
Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab.
As a Senior Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. Working directly with customers, data scientists, software engineers, and DevOps engineers, you’ll define requirements and orchestrate complex data engineering pipelines. You’ll also develop machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data.. Your work will inform the future of Chariot, our proprietary AI operations platform. The work extends to the field, with mission-critical deployments, direct customer contact, and insights that shape what we build next.
What it’s like here
We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership—because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice.
What we’re looking for
A BS degree in computer science, machine learning, or a related discipline and 6+ years of relevant experience
Demonstrated experience delivering data-centric systems
Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of TensorFlow, PyTorch, and/or scikit-learn
Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language
Proficiency with modern software engineering tools and processes
Active Secret (or above) US security clearance and US citizenship
The following isn’t required, but we’d love to see it:
An advanced degree in data science, machine learning, computer science, or a related discipline
Knowledge of relevant architectures and design patterns for client-server systems
Experience implementing and deploying software into containerized or cloud environments
Experience with a variety of unstructured data types
Experience building AI agents, agentic workflows, or agentic systems
Experience defining, scoping, planning, and delivering complex, production-level technical solutions
Experience leading, managing, or mentoring small, cross-functional engineering teams
Experience delivering technology solutions in secure government environments
You will be hybrid/on site at customer locations at Joint Base Lewis–McChord in Tacoma, WA. You will be expected to travel up to 25% of the time.
Compensation
The anticipated base pay range for this position is $185,000–$230,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.
Benefits include:
Medical/dental/vision insurance
Voluntary life, long-term disability, accident, and hospital indemnity insurance
HSA and FSA (including dependent care FSA) plans
401(k) plan
Unlimited PTO
Paid parental leave
Ready to build systems that work for a mission that matters? Let’s talk.
Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact People Operations at hr@striveworks.us .
In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.
Striveworks is a participating employer in the E-Verify program.