Remote opportunity at
StriveworksSenior Machine Learning Engineer, Agentic Systems (Active Secret Clearance)
Striveworks seeks a Senior Machine Learning Engineer specializing in Agentic Systems to join its remote or hybrid team. The company focuses on building trustworthy artificial intelligence…
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About This Role
Striveworks seeks a Senior Machine Learning Engineer specializing in Agentic Systems to join its remote or hybrid team. The company focuses on building trustworthy artificial intelligence solutions that maintain performance and manage data drift for complex real-world use cases, particularly addressing challenges faced by federal programs. In this position, the professional will act as a primary contributor to both client-led projects and core offerings. The person in this role will…
Job Description
Striveworks seeks a Senior Machine Learning Engineer specializing in Agentic Systems to join its remote or hybrid team. The company focuses on building trustworthy artificial intelligence solutions that maintain performance and manage data drift for complex real-world use cases, particularly addressing challenges faced by federal programs. In this position, the professional will act as a primary contributor to both client-led projects and core offerings.
The person in this role will collaborate directly with software developers, data scientists, DevOps specialists, and clients to construct reliable AI applications and coordinate intricate agentic pipelines. Responsibilities include building machine learning capabilities, refining the Chariot operations platform, and evaluating system safety and effectiveness. Candidates will handle mission-critical implementations and utilize insights from direct user interactions to steer future product development.
This position is well-suited for a software and machine learning practitioner who values mutual respect, honesty, personal accountability, and meaningful ownership of team results. The role offers a fully remote setup or a hybrid option based at the Austin, Texas office, alongside a requirement for up to 20 percent travel.
Responsibilities
- Develop machine learning solutions and orchestrate complex data and agentic workflows
- Contribute to both customer-driven projects and enduring company products
- Collaborate directly with customers, data scientists, software engineers, and DevOps engineers
- Build reliable and effective AI systems across models, agents, tools, and workflows
- Analyze and improve the performance and usability of AI systems
- Inform platform improvements and expand capabilities through mission-critical deployments and direct customer contact
Requirements
- Bachelor of Science degree in computer science, machine learning, or a related discipline
- 6 or more years of relevant professional experience
- Demonstrated experience delivering data-centric systems such as ETL pipelines, data cleaning, and 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, tool use, planning, and multi-agent architectures
- Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, or scikit-learn
- Strong software engineering fundamentals including algorithms, data structures, and design patterns
- Proficiency in at least one systems programming language such as Go, Rust, C++, Java, or Scala
- Proficiency with modern software engineering tools and processes including Agile, version control, CI/CD, and debugging
- Active Secret or higher US security clearance and US citizenship
- Ability to travel up to 20 percent of the time
Qualifications
- Advanced degree in data science, machine learning, computer science, or a related discipline
- Knowledge of client-server architectures and design patterns like asynchronous programming, REST, GraphQL, React, Vue, and Angular
- Experience implementing and deploying software into containerized or cloud environments like Docker, Kubernetes, infrastructure as code, and major cloud architectures
- Experience with unstructured data types including imagery, full-motion video, text, acoustic, sonar, RF, and telemetry signals
- Experience defining, scoping, planning, and delivering complex technical solutions
- Experience leading a small team
- Experience delivering technology solutions in secure government environments
Core Skills
Benefits
- Competitive base salary ranging from $185,000 to $230,000 per year
- Equity grants
- Cash bonuses
- Medical, dental, and vision insurance
- Voluntary life, long-term disability, accident, and hospital indemnity insurance
- Health Savings Account and Flexible Spending Account plans, including dependent care FSA
- 401(k) retirement plan
- Unlimited paid time off
- Paid parental leave
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job located?
This position offers a fully remote work environment, or you can work hybrid or on-site at the Striveworks office located in northwest Austin, Texas. Travel of up to 20 percent is expected.
What is the salary range for this position?
The anticipated base pay range is $185,000 to $230,000 per year, which is supplemented by equity grants, cash bonuses, and a competitive benefits package.
What security clearance is required?
Candidates must hold an active Secret or above United States security clearance and possess US citizenship.
What education and experience are required?
Applicants must have a Bachelor of Science degree in computer science, machine learning, or a related discipline, along with 6 or more years of relevant experience.
Sample Interview Questions
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