Charles River Analytics

DoD MLOps Software Engineer

Honolulu, Hawaii

No sponsorship$140k-$225kDetected 5 days ago

PythonExpressAlgorithmsGitSQLAWSDockerKubernetesCI/CDMachine LearningNLPLLMsMLOpsA/B TestingCybersecurityRoboticsResearchCollaboration

About the role

Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing.
The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace.
We have an exciting opportunity for an MLOps Software Engineer to join a customer on-site as an embedded technical analyst.

Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world's most challenging problems.
In this role, you will be responsible for customizing AI agent training configurations and tailoring agent-based simulation backends to support military wargaming and analysis.

Proficiency in understanding and configuring agent roles, goals, behaviors, interactions, state, decision logic, and emergent behavior within a simulation environment
Experience with deployment engineering (e.g., build systems and containerization), Docker, Kubernetes, cloud-deployment (e.g., AWS gov cloud), and proficient with logging and monitoring systems to maintain high up time
Ability to configure agent runtime settings, data/context sources, tool access, execution parameters, integration points, and versioned baselines
Active or eligible for a security clearance, as required by contract
5+ years of experience in artificial intelligence, with a focus on agent-based simulation
Experience with agent-based modeling, AI-enabled simulations, decision-support tools, wargaming systems, and human-machine teaming
Experience in military analysis, campaign analysis, mission analysis, operational planning, or experimentation
Knowledge of AI risk management, model evaluation, traceability, human oversight, and responsible AI documentation
Our ideal candidate is much more than a typical data analyst or AI researcher.

$140,000 - $225,000
The above salary range is an estimate based on the internal job level(s) for which this role is being considered.
The final salary will be decided after careful evaluation of the individual's work experience, education, and overall qualifications.

Familiar with large language model (LLM)-enabled agents, symbolic AI, planning algorithms, reinforcement learning, behavior modeling, and cognitive architectures, as they pertain to architecture
This range does not include the substantial total rewards, as listed below, that you will also be eligible for as an employee at Charles River Analytics.

At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field.
Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains.
Are you ready to accelerate our mission-focused innovations?
Your responsibilities will include helping customers define analytical problems, coding agent behavior and decision-making logic, configuring the agent backend, evaluating agent outputs, and identifying any shortcomings in the domain-specific language or agent architecture for the product development team.
We are looking for a customer-facing applied AI and wargaming analyst who can effectively represent military decision problems, behaviors, constraints, objectives, and workflows within a proprietary agent-based simulation architecture.
Join our mission and innovate with purpose.

This listing is sourced directly from Charles River Analytics's careers page and normalized into a canonical job model.