• An advanced degree in data science, machine learning (ML), computer science, or a related discipline and 10+ years of relevant experience
• Proven ability to lead, manage, and mentor cross-functional engineering teams across office, remote, and customer environments
• Demonstrated experience defining, scoping, planning, and driving execution plans for complex, production-level technical solutions
• Strong communication skills and a track record of translating complex technical topics with clarity and professionalism to both internal engineering teams and external stakeholders
• Broad proficiency in programming languages common to machine learning, with excellence in Python and at least one systems programming language
• Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments
• Expertise in the building, training, evaluation, and/or deployment optimization of ML models
• Proficiency with modern software engineering tools and processes
• Active Secret (or above) US security clearance and US citizenship
• The following isn’t required, but we’d love to see it:
• Experience with K8s and horizontally scaled architectures
• Knowledge of NATS, Kafka, RabbitMQ, or similar
• Experience building AI agents and workflows
• Experience with complex and varied data types
• Experience delivering technology solutions in secure government environments
• You will be remote or hybrid out of our Austin, Texas, office. This role requires travel up to 25% of the time.