Striveworks - Senior Machine Learning Engineer
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 • 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: • Advanced degree in data science, machine learning, computer science, or a related discipline • 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], infrastructure as code, major cloud architectures) • Experience with a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, telemetry signals) • Experience building agentic systems, agentic workflows, or AI agents • Experience defining, scoping, planning, and delivering complex technical solutions • Experience leading a small team • Experience delivering technology solutions in secure government environments • Active Secret (or above) US security clearance • The anticipated base pay range for this position is $160,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.
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 • This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX, with up to 25% travel. • 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. • 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
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