Staff Machine Learning Engineer - Team Lead (Active Secret Clearance).

Accountabilities:

• Lead the design, development, and delivery of complex, production-level machine learning and AI solutions, from data shaping and analytics to end-user implementation.

• Serve as a hands-on technical contributor while providing leadership and guidance across engineering teams and customer environments.

• Define project scope, establish technical plans, coordinate resources, and drive execution through successful delivery.

• Build, train, evaluate, optimize, and deploy machine learning models for real-world applications.

• Design and implement algorithms, data structures, production analytics, and software architectures using appropriate engineering patterns and cloud technologies.

• Collaborate directly with customers to understand their challenges, translate feedback into technical requirements, and shape future solutions.

• Communicate technical concepts clearly and professionally to engineering teams, customers, and other stakeholders.

• Mentor and support engineers, fostering strong technical practices and effective collaboration across distributed teams.

• Travel to customer locations or project environments as required, with travel of up to 25%.

Requirements:

• Advanced degree in Data Science, Machine Learning, Computer Science, or a related discipline, along with at least 10 years of relevant professional experience.

• Demonstrated ability to lead, manage, and mentor cross-functional engineering teams across office-based, remote, and customer-facing environments.

• Proven experience defining, scoping, planning, and executing complex technical solutions in production environments.

• Excellent communication and stakeholder-management skills, including the ability to explain sophisticated technical topics clearly.

• Broad proficiency in programming languages used in machine learning, with strong expertise in Python and at least one systems programming language.

• Strong knowledge of algorithms, data structures, production analytics, software design patterns, and cloud-based development.

• Extensive experience building, training, evaluating, and/or optimizing the deployment of machine learning models.

• Proficiency with modern software engineering tools, workflows, and development practices.

• Active Secret security clearance or higher and U.S. citizenship are mandatory.

• Willingness and ability to travel up to 25% of the time.

Additional experience that would be valuable:

• Kubernetes (K8s) and horizontally scaled architectures.

• Messaging and streaming technologies such as NATS, Kafka, or RabbitMQ.

• Development of AI agents and agentic workflows.

• Working with complex and varied data types.

• Delivering technology solutions in secure government environments.

Benefits:

• Base salary: $230,000–$280,000 per year.

• Equity grants and cash bonuses as part of the total compensation package.

• Medical, dental, and vision insurance.

• Voluntary life, long-term disability, accident, and hospital indemnity insurance.

• Health Savings Account (HSA) and Flexible Spending Account (FSA) options, including dependent care FSA.

• 401(k) retirement plan.

• Unlimited paid time off (PTO).

• Paid parental leave.

• Remote or hybrid working arrangements, with the hybrid option based in Austin, Texas.