Striveworks - Machine Learning Engineer (Active Secret Clearance)
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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 to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.) • 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, etc.) • Active Secret (or above) US security clearance • Due to the nature of this role, candidates must have US citizenship • The Wish List • The Wish List • We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of: • 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 • The anticipated base pay range for this position is $160,000–$190,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.
Responsibilities
• Developing machine learning pipelines and custom analytics that are applied to image, video, text, geospatial, time series, and structured data • Orchestrating and automating complex data engineering and analytic pipelines • Envisioning, specifying, and, at times, designing and implementing core product functionality • Conducting mission-critical fieldwork in support of customers and other stakeholders • This position offers a fully remote work environment, or you can work hybrid/on site at customer locations at Joint Base Lewis–McChord in Tacoma, WA. If remote, you will be expected to travel up to 30% of the time. If local, you will be expected to travel up to 25% of the time. • The Right Fit • The Right Fit • In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. • Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.
Benefits
• Medical/dental/vision insurance • Voluntary life, long-term disability, accident, and hospital indemnity insurance • HSA and FSA (including dependent care FSA) plans • Paid parental leave • Check us out on Built In!
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