Senior Applied ML/AI Engineer
Legion Intelligence16 days ago
Remote, United StatesSenior
Base Salary
$220k - $265k/yr
Responsibilities
- Lead the design and development of ML and NLP systems powering search, navigation, and agentic AI experiences.
- Innovate on iterative reasoning, retrieval, search, and agentic AI systems.
- Develop, fine-tune, evaluate, and optimize machine learning and language models for production use.
- Build systems involving knowledge graphs, semantic representations, and entity detection and extraction.
- Own AI/ML solutions end to end from design through deployment and iteration in collaboration with product, platform, and engineering teams.
- Evaluate algorithmic complexity, model performance, latency, production costs, scalability, quality, and reliability when making technical decisions.
- Build, deliver, and maintain enterprise-grade products.
- Support distributed production systems by debugging and resolving issues to ensure uptime and reliability.
- Communicate technical decisions, tradeoffs, and limitations to technical and non-technical stakeholders.
- Apply advances in AI, NLP, and machine learning to improve products and platforms.
Requirements
- U.S. citizenship or a Green Card is required due to U.S. government contract requirements.
- Bachelor’s or master’s degree in computer science, machine learning, NLP, or a related field.
- At least 7 years of experience in ML/MLOps engineering building models and systems for large-scale production environments.
- Experience designing, building, evaluating, and optimizing agentic AI systems, including reasoning loops, tool use or tool calling, context management, and multi-agent or workflow-based systems.
- Understanding of runtime complexity, infrastructure costs, production scalability, and distributed systems.
- Strong communication and cross-functional collaboration skills.
- Ability to support production systems and debug distributed-environment challenges.
- Ability to use AI tools to accelerate research and development workflows.
- Preferred qualifications include startup or 0→1 product-environment experience and experience integrating ML models and data-driven algorithms into larger system architectures.
Benefits
- Remote USA role; the employee must be domiciled in the United States and maintain a permanent U.S. home address.
- Employment requires legally authorized identification verification through the third-party provider CLEAR ID.
Categories
About Legion Intelligence
Legion Intelligence builds secure agentic AI infrastructure for mission workflows, offering the Legion Platform for governed agent orchestration and Centurion, a deployable edge system for disconnected environments. It sells to government and regulated enterprises through software licensing and deployment services across cloud, on-premise, classified, and air-gapped networks. Founded in 2022 and headquartered in San Francisco, it has deployments with U.S. SOCOM, XVIII Airborne Corps, the U.S. Air Force, and the Department of Energy.