Staff Machine Learning Engineer
Striveworks · Remote or Austin, Texas, United States
Defenseremotestaff$200k–$250k
At a glance
Highlights
- Build trusted AI systems sustaining hundreds of deployed models in production.
- Lead design and delivery from data shaping to end-user delivery in the field.
- Help make agentic AI an operating reality across major institutions.
What they offer
- Equity grants
- Cash bonuses
- Medical/dental/vision insurance
- Voluntary life, disability, accident and hospital indemnity insurance
- HSA and FSA plans
- 401(k) plan
- Unlimited PTO
- Paid parental leave
Ideal candidate
A seasoned ML leader who thrives on hard customer problems and ownership. You value trust, candor, and building mission-driven AI that holds up in the real world.
Requirements
- Advanced degree in data science, machine learning, computer science or related discipline and 10+ years 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 translating complex technical topics for internal teams and external stakeholders
- Broad proficiency in ML programming languages with excellence in Python and at least one systems programming language
- Proficiency in design and delivery of algorithms, data structures, production analytics and cloud design patterns
- Expertise in building, training, evaluation and/or deployment optimization of ML models
- Proficiency with modern software engineering tools and processes
- US citizenship with eligibility and willingness to obtain and maintain Secret (or above) clearance
- remote policy
- Remote or hybrid
Lab profile
About Striveworks
Delivers trusted AI systems and assurance for federal missions, sustaining models in production.
What they build
- AI assurance and monitoring platform
- Agentic AI systems
- Production federal AI solutions
Known for
- Production AI deployment
- Model monitoring and drift management
- Federal and defense missions
- Long-term system sustainment
Key facts
- Founded in 2018
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