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, 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, you'll develop machine learning solutions, orchestrate complex data and agentic workflows, and help shape the capabilities of Chariot, our proprietary AI operations platform. You'll 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.
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 (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 fundamentals-including algorithms, data structures, and design patterns-as 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 isn't required, but we'd 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.
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. 
