Machine Learning Engineer (Active Secret Clearance)

About the Role

As a Machine Learning Engineer at Striveworks, you will be a core contributor to both customer-driven projects and the company's enduring products. You will represent Striveworks as a technology builder on projects leveraging our proprietary AI operations (AIOps) platform, Chariot, and contribute to its future capabilities. You will also inform, envision, and help extend Striveworks’ core software products.

The Role's Day-to-Day

• Develop machine learning pipelines and custom analytics for image, video, text, geospatial, time series, and structured data.
• Orchestrate and automate complex data engineering and analytic pipelines.
• Envision, specify, and, at times, design and implement core product functionality.
• Conduct mission-critical fieldwork in support of customers and other stakeholders.

The Right Fit

We are seeking individuals who value and possess technical expertise, enjoy pushing their capabilities, are outcome-driven, and are passionate about applying software engineering and data science to solve real-world problems. Success in this role requires building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities.

Requirements

• BS degree in computer science, machine learning, or a related discipline, plus 2+ years of relevant experience.
• Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and production analytics).
• Proficiency in software engineering fundamentals, including algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala).
• Proficiency in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn.
• Exposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging).
• Active Secret (or above) US security clearance.
• US citizenship is required for this role.

Wish List (Preferred Qualifications)

• An advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, data science, or a related discipline.
• Excellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn.
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular).
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [K8s], cloud architectures).
• Experience with machine learning applied to imagery and/or video data.
• Experience building agentic systems, agentic workflows, or AI agents.
• Experience defining, scoping, planning, and delivering complex technical solutions.
• Experience delivering technology solutions in secure government environments.

Compensation & Benefits

• Anticipated base pay range: $160,000–$190,000/year.
• Total compensation includes a competitive base salary, equity grants, and cash bonuses.
• 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.

Work Environment

• This position offers a fully remote work environment.
• Alternatively, you can work hybrid/on-site at customer locations in Tacoma, WA.
• Remote employees are expected to travel up to 30% of the time.
• On-site employees are expected to travel up to 25% of the time.