Senior Machine Learning Engineer at Striveworks building AI solutions for business and national security challenges. Collaborating with teams to deliver machine learning models and operational capabilities.
Responsibilities
Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
Developing machine learning models 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
Opportunities to conduct mission-critical field work
Requirements
BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
Demonstrated experience delivering data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like 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 (e.g., Go, Rust, C++, Java, Scala, etc.)
Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
Due to the nature of this role, candidates must have US citizenship.
Benefits
Medical/dental/vision insurance
Voluntary life, long-term disability, accident, and hospital indemnity insurance
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