[Remote] Machine Learning Engineer (Active Secret Clearance)
Note: The job is a remote job and is open to candidates in USA. Striveworks is a company that helps organizations harness the power of artificial intelligence to solve real-world challenges. As a Machine Learning Engineer, you will be responsible for developing machine learning pipelines, automating data engineering processes, and contributing to the core product functionality while collaborating with a team of data scientists and engineers.
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
Skills
- 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
- 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
Benefits
- 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
- Equity grants
- Cash bonuses
Company Overview