Engineering Manager, Applied Machine Learning

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 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.

Role Overview:

As an Engineering Manager in Applied Machine Learning at Legion Intelligence, you'll be a vital leader driving the direction and impact of small, dedicated teams focused on applied machine learning and information retrieval to power the Legion Intelligence RAG platform. In this role, you’ll work closely with cross-functional teams, including go-to-market and product design, to ensure our technical roadmap is closely aligned with the business's strategic objectives. This involves tackling complex technical challenges in enterprise workflows and data, fostering a culture that prioritizes collaboration, innovation, and calculated risk-taking.

The ideal candidate will have a strong background in machine learning engineering, with proven technical expertise in developing, deploying, and supporting sophisticated, large-scale machine learning solutions. You will manage and support a team of senior-level engineers utilizing a range of machine learning tools and the latest knowledge management techniques to solve real-world business problems. Your team will develop algorithmic solutions and work in distributed computing production environments, integrating ML models into end-user-facing systems and applications.

Success in this role will require close collaboration with both technical and non-technical partners, including design and product teams, to build features that reflect a deep understanding of user needs and how they engage with algorithmically driven aspects of the product.

 

Key Responsibilities:

• Lead and support ICs working on applied machine learning and information retrieval to power customer-facing systems and applications.
• Oversee all stages of ML project development, from research and prototyping to production deployment, ensuring timely delivery and high-quality execution.
• Collaborate with go-to-market teams to align roadmap with business goals.
• Dive deep into technical challenges surrounding complex enterprise workflows and data.
• Recruit, mentor, and retain high-performing engineers, fostering a culture of innovation and collaboration.
• Drive innovation in 0->1 product areas, exploring and implementing new machine learning technologies and techniques.
• Leverage passion for generative AI and enterprise nuances to deliver solutions that enhance user experience.
• Scale teams and management processes as the company grows rapidly.

 

Requirements:

• 2+ years of experience hiring and leading teams as an engineering manager.
• Previous experience driving the development of applied ML applications.
• Demonstrable expertise with natural language processing and machine learning techniques.
• Strong software engineering background as an individual contributor, with experience tackling complex technical challenges in enterprise product development.
• Excitement and curiosity for 0->1 product development, with a track record of turning innovative ideas into successful features.
• Knowledge and experience in generative AI and its various applications.
• Have to be eligible to work in US without sponsorship

 

Preferred Qualifications:

• Knowledge and experience in generative AI and its various applications.

 

Additional Information:

• Legion Intelligence is an equal-opportunity employer and values diversity in its workforce.

 

Equal Opportunity Statement

Legion Intelligence 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.