Staff Applied Machine Learning Engineer
New
L
Legion IntelligenceArtificial Intelligence
Remote - Anywhere in USAFull-TimeStaff
Salary230,000 - 270,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 10+ years
- Required Skills
- PythonKubernetesMachine LearningNLPDistributed Systems
Requirements
- 10+ years of experience in ML engineering with a proven track record of building models for large-scale systems.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or NLP (PhD preferred).
- Experience building and supporting knowledge graph and semantic representation systems.
- Proven experience designing, building, evaluating, and optimizing Agentic AI systems, including reasoning loops, tool use, orchestration patterns, and context management.
- Comfortable supporting production systems and debugging challenges in distributed systems.
- Demonstrated effectiveness in using AI tooling to accelerate research and development workflows.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
- Familiarity with Kubernetes (preferred).
- Experience in 0-1 product environments or startup experience (preferred).
- Experience integrating machine learning models and data driven algorithms into larger system architectures (preferred).
Responsibilities
- Lead the development of machine learning models and data-driven algorithms for high impact projects.
- Lead the design and development of complex systems involving knowledge graphs and advanced entity detection.
- Collaborate with product and platform teams to own ML solutions end-to-end.
- Understand the runtime complexity of algorithms and the cost to run ML models at a production scale.
- Clearly communicate modeling decisions, tradeoffs, and limitations to technical and non-technical stakeholders.
- Build, deliver, and maintain enterprise products, ensuring they meet high-quality standards while shipping fast.
- Take ownership of your work, from design to implementation and maintenance, and drive projects to successful completion.
- Support production systems, handling debugging challenges in distributed systems to ensure reliability and uptime.
- Adapt quickly, bringing in latest developments in AI and machine learning, and proactively apply this knowledge to drive innovation within the company.
View Full Description & ApplyYou'll be redirected to the employer's site
