Staff Machine Learning Engineer (Active Secret Clearance)
As a Staff Machine Learning Engineer, you will be both a core contributor and a customer-facing technical leader. You’ll initiate the design, build, and delivery of systems—from data shaping and analytics to end-user delivery. Customers and engineers will bring you the hard problems. You’ll turn them into working systems and see them through to execution. The work will take you into the field, where direct customer input will shape what we build next.
What it’s like here
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.
What we’re looking for
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.
Compensation
The anticipated base pay range for this position is $210,000–$260,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.