Senior Machine Learning Engineer (Active Secret Clearance)
Austin, Texas, United States Hybrid
$185,000–$230,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
As a Senior Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. Working directly with customers, data scientists, software engineers, and DevOps engineers, you’ll define requirements and orchestrate complex data engineering pipelines. You’ll also develop machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data. Your work will inform the future of Chariot, our proprietary AI operations platform, and it extends to the field, with mission-critical deployments, direct customer contact, and insights that shape what we build next. We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership—because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice. As a Senior Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. You’ll also develop machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data.
What you'll bring
- A BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
- Demonstrated experience delivering data-centric systems
- Proficiency in programming languages and libraries common to machine learning
- excellence in Python is essential, as is knowledge of 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
- Proficiency with modern software engineering tools and processes
- Active Secret (or above) US security clearance and US citizenship
- Advanced degree in data science, machine learning, computer science, or a related discipline
- Knowledge of relevant architectures and design patterns for client-server systems
- Experience implementing and deploying software into containerized or cloud environments
- Experience with a variety of unstructured data types
- Experience delivering technology solutions in secure government environments