Machine Learning Engineer

Striveworks is seeking a Machine Learning Engineer to develop, deploy, and maintain AI systems for mission-critical applications, leveraging their proprietary AI operations platform. The role involves working with data scientists, software engineers, and DevOps teams to transform machine learning models into operational capabilities, supporting national security and business challenges.

Location: Remote (US)

Salary: $160,000–$190,000/year

Responsibilities

• Developing machine learning pipelines and custom analytics for various data types including image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, designing, and implementing core product functionality
• Conducting mission-critical fieldwork in support of customers and stakeholders

Requirements

• BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience
• Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other 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 libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to modern software engineering tools and processes (Agile, version control, CI/CD, debugging)
• Active Secret (or above) US security clearance
• US citizenship

Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA plans
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Additional Information

• This position offers a fully remote work environment or hybrid/on-site at Joint Base Lewis–McChord in Tacoma, WA. Remote employees may travel up to 30% of the time, and local employees up to 25%.