Staff Machine Learning Engineer - Team Lead (Active Secret Clearance)
About The Position
Striveworks builds AI systems for real-world use, providing assurance that monitors model performance, manages drift, and sustains deployed systems. The Staff Machine Learning Engineer will be a core technical contributor and customer-facing technical leader, initiating the design, development, and delivery of systems spanning data shaping and analytics through end-user delivery. The engineer will address complex problems brought by customers and engineering teams, turn them into working systems, and drive them through execution. The role includes working in the field and using direct customer input to shape future products. The position is remote or hybrid from Striveworks’ Austin, Texas office, with travel up to 25% of the time. The anticipated base salary is $210,000–$260,000 per year. Total compensation includes base salary, equity grants, and cash bonuses.
Requirements
- Advanced degree in data science, machine learning, computer science, or a related discipline.
- 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 clearly and professionally translating complex technical topics to 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 designing and delivering algorithms, data structures, and production analytics, and using design patterns in cloud environments.
- Expertise in building, training, evaluating, and/or optimizing the deployment of machine learning models.
- Proficiency with modern software engineering tools and processes.
- Active Secret or higher U.S. security clearance and U.S. citizenship.
Nice To Haves
- Experience with Kubernetes and horizontally scaled architectures.
- Knowledge of NATS, Kafka, RabbitMQ, or similar technologies.
- Experience building AI agents and workflows.
- Experience with complex and varied data types.
- Experience delivering technology solutions in secure government environments.
Responsibilities
- Lead technical contributions to the design, build, and delivery of systems, from data shaping and analytics through end-user delivery.
- Turn complex customer and engineering problems into working systems and drive them through execution.
- Lead, manage, and mentor cross-functional engineering teams across office, remote, and customer environments.
- Define, scope, plan, and drive execution plans for complex, production-level technical solutions.
- Communicate complex technical topics clearly and professionally to internal engineering teams and external stakeholders.
- Work in the field and use direct customer input to inform what the company builds next.
Benefits
- Medical, dental, and vision insurance.
- Voluntary life, long-term disability, accident, and hospital indemnity insurance.
- HSA and FSA plans, including dependent care FSA.
- 401(k) plan.
- Unlimited PTO.
- Paid parental leave.
- Equity grants and cash bonuses.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
