What you'll buildSince 2018, we have delivered the most trusted AI systems operating in real-world use cases-providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab.
As a Senior Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. Working directly with customers, data scientists, software engineers, and DevOps engineers, you'll define requirements and orchestrate complex data engineering pipelines. You'll also develop machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data. Your work will inform the future of Chariot, our proprietary AI operations platform, and it extends to the field, with mission-critical deployments, direct customer contact, and insights that shape what we build next.
What we're looking for- A BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
- Demonstrated experience delivering data-centric systems
- Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of TensorFlow, PyTorch, and/or scikit-learn
- Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language
- 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:
- Advanced degree in data science, machine learning, computer science, or a related discipline
- Knowledge of relevant architectures and design patterns for client-server systems
- Experience implementing and deploying software into containerized or cloud environments
- Experience with a variety of unstructured data types
- Experience delivering technology solutions in secure government environments
- Experience building AI agents, agentic workflows, or agentic systems
- Experience defining, scoping, planning, and delivering complex, production-level technical solutions
- Experience leading, managing, or mentoring small, cross-functional engineering teams
You will be hybrid out of our Austin, Texas, office. This role requires travel up to 25% of the time.
CompensationThe anticipated base pay range for this position is $185,000-$230,000/year. Striveworks' total compensation package includes a competitive base salary, equity grants, and cash bonuses.
Benefits include:- Medical/dental/vision insurance
- Voluntary life, long-term disability, accident, and hospital indemnity insurance
- HSA and FSA (including dependent care FSA) plans
- 401(k) plan
- Unlimited PTO
- Paid parental leave
Ready to build systems that work for a mission that matters? Let's talk. 
