Senior Applied ML/AI Engineer USA

LEGION; United States; À distance; USD 220 000 - 265 000; Plein temps

Résumé du poste

Legion seeks a Senior Machine Learning Engineer to architect the intelligence layer behind our agentic AI platform, focusing on search, navigation, and task-oriented experiences. You will design and ship ML systems for retrieval, reasoning, planning, tool use, and adaptive navigation across the product.

The role requires deep experience building agentic systems, including reasoning loops, tool calling, memory management, and model fine-tuning.

Qualifications

• US Citizenship or Green Card is required due to US Government contract.
• Bachelor’s or Master’s degree in CS, ML, NLP, or related field.
• 7+ years in ML/MLOps with production experience.
• Experience designing, building, evaluating, and optimizing agentic AI systems.
• Strong systems thinking, scalability, and cost awareness.
• Excellent cross-functional collaboration and communication.
• Experience debugging distributed systems.
• Willingness to learn new tools and adapt quickly.

Responsabilités

• Lead ML/NLP systems powering search, navigation, and agentic AI experiences.
• Innovate around iterative reasoning, retrieval, and search.
• Develop, fine-tune, evaluate ML models for production.
• Design knowledge graphs and semantic representations.
• Collaborate with product, platform, and engineering teams end-to-end.
• Assess algorithmic complexity, latency, and production costs.
• Ensure high-quality, reliable, and scalable enterprise products.
• Support production systems and resolve distributed issues.
• Communicate decisions and tradeoffs to stakeholders.
• Stay current with AI/NLP advances and apply them thoughtfully.

Connaissances

Agentic AI systems

ML/NLP engineering

Search/navigation design

Production ML systems

Cross-functional collaboration

Performance optimization

Formation

Bachelor’s or Master’s degree in CS/ML/NLP

Outils

Python

TensorFlow/PyTorch

Docker

Kubernetes

Description du poste

About us

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission‑critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world‑class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.

***This role requires expert level in development and deployment of machine learning models***

***US Citizenship or Greencard (Permanent US Residency) is required due to US Government contract requirements***

***You must be domiciled in the U.S. (must live permanently and maintain home address in the US)***

***As a step in the application process you will be required to provide legally authorized Identification to show verification of eligibility through third party provider CLEAR ID***

Job Summary

We’re looking for a Senior Machine Learning Engineer to architect and build the intelligence layer behind our agentic AI platform, with a focus on search, navigation, and task‑oriented user experiences. In this role, you’ll design and ship ML systems that enable intelligent retrieval, reasoning, planning, tool use, and adaptive navigation across the product. You’ll work across NLP, ML, knowledge representations, and production system design to create scalable, reliable, and high‑impact AI experiences.

This role is ideal for someone who has deep experience building agentic systems, including reasoning loops, orchestration patterns, tool calling, memory/context management, and model fine‑tuning, and who can apply that expertise to make search and navigation feel intelligent, proactive, and context‑aware.

Responsibilities

• Lead the design and development of ML and NLP systems that power search, navigation, and agentic AI experiences.
• Innovate around our core iterative reasoning, retrieval, and search systems with agentic AI
• Develop, fine‑tune, evaluate, and optimize machine learning and language models for production use.
• Design and build complex systems involving knowledge graphs, semantic representations, and advanced entity detection/extraction.
• Collaborate closely with product, platform, and engineering teams to own AI/ML solutions end‑to‑end, from design through deployment and iteration.
• Make sound technical decisions by understanding algorithmic complexity, model performance, latency, and production cost tradeoffs.
• Build, deliver, and maintain enterprise‑grade products that meet high standards for quality, reliability, and speed.
• Support production systems, including debugging and resolving issues in distributed systems to ensure uptime and reliability.
• Clearly communicate technical decisions, tradeoffs, and limitations to both technical and non‑technical stakeholders.
• Stay current with the latest advances in AI, NLP, and machine learning, and apply them thoughtfully to improve our products and platform.

Required Skills and Qualifications

• US Citizenship or Green Card required due to US Government contract requirements.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, NLP, or a related field
• 7+ years of experience in ML/MLOps engineering with a strong track record of building models and systems for large‑scale production environments.
• Proven experience designing, building, evaluating, and optimizing agentic AI systems, including reasoning loops, tool use / tool calling, context management, multi‑agent or workflow‑based systems
• Strong systems thinking with an understanding of runtime complexity, infrastructure costs, and production scalability.
• Strong communication skills and the ability to collaborate effectively across cross‑functional teams.
• Comfortable supporting production systems and debugging challenges in distributed environments.
• Demonstrated ability to use AI tools to accelerate research and development workflows.
• Growth mindset and low ego: eager to learn new tools and technologies, adapt quickly, and change course when needed.
• Strong commitment to collaboration, psychological safety, and technical excellence.

Preferred Qualifications

• Startup experience or comfort working in 0→1 product environments.
• Experience integrating ML models and data‑driven algorithms into larger system architectures.

*LI-REMOTE

Compensation Information

$220,000 - $265,000 USD

Equal Opportunity Statement

Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Legion Intelligence’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.