Senior Machine Learning Engineer, Agentic Systems (Active Secret Clearance)

In 36 months agentic AI systems will be an operating reality across major institutions. We intend to be central to it. Dr. Jim Rebesco Cofounder and CEO Striveworks

The governments demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production despite billions of dollars invested. The models perform in testing but they degrade in the real world. And when performance drops trust goes with it.

Striveworks was built to solve that problem.

Since 2018 we have delivered the most trusted AI systems operating in real-world use casesproviding 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 Agentic Systems 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 youll develop machine learning solutions orchestrate complex data and agentic workflows and help shape the capabilities of Chariot our proprietary AI operations platform. Youll work across models agents tools and workflows to build reliable and effective AI systems while analyzing and improving their performance and usability. Your work will inform platform improvements expand our capabilities and extend to the field through mission-critical deployments direct customer contact and insights that shape what we build next.

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 ownershipbecause 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.

• A BS degree in computer science machine learning or a related discipline and 6 years relevant experience
• Demonstrated experience delivering data-centric systems (e.g. data engineering data cleaning ETL pipelines machine learning and other production analytics)
• Experience designing building evaluating and optimizing LLM-powered agents and agentic workflows
• Experience integrating AI systems with external tools APIs MCP servers and enterprise data sources
• Experience developing evaluation approaches and frameworks to measure agent performance reliability and safety
• Familiarity with retrieval-augmented generation (RAG) tool use planning and multi-agent architectures
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential as is knowledge of libraries like TensorFlow PyTorch and/or scikit-learn
• Strong software engineering fundamentalsincluding algorithms data structures and design patternsas well as proficiency in at least one systems programming language (e.g. Go Rust C Java Scala)
• Proficiency with modern software engineering tools and processes (Agile version control issue tracking CI/CD debugging etc.)
• Active Secret (or above) US security clearance and US citizenship

The following isnt required but wed love to see it:

• An advanced degree in data science machine learning computer science or a related discipline
• Knowledge of relevant architectures and design patterns for client-server systems (e.g. asynchronous programming REST GraphQL React Vue Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g. Docker Kubernetes K8s infrastructure as code major cloud architectures)
• Experience with a variety of unstructured data types (e.g. imagery full-motion video text acoustic sonar RF telemetry signals)
• Experience defining scoping planning and delivering complex technical solutions
• Experience leading a small team
• Experience delivering technology solutions in secure government environments

This position offers a fully remote work environment or you can work hybrid/on site at our office in northwest Austin TX. You will be expected to travel up to 20% of the time.

The anticipated base pay range for this position is $185000$230000/year. Striveworks total compensation package includes a competitive base salary equity grants and cash bonuses.

• 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 Lets talk.

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race color religion belief sex (including pregnancy and gender identity or expression) national origin social or ethnic origin political affiliation sexual orientation marital status disability genetic information age membership in an employee organization retaliation parental status military service or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process please contact People Operations at .

In compliance with federal law all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.