Staff Applied Machine Learning Engineer
yurtsai · USA
- Posted
- 10 days ago
- Last confirmed live
- 1 day ago
What this role involves
This Staff Applied Machine Learning Engineer role at Legion involves leading the design, development, and deployment of machine learning models and knowledge graph systems for high-impact projects. The position requires collaboration with product and platform teams to own ML solutions end-to-end, and demands US citizenship or green card with 10+ years of experience in ML engineering.
Skills this posting asks for
- machine learning
- deep learning
- natural language processing
- knowledge graphs
- entity detection
- algorithms
- runtime complexity
- production systems
- enterprise products
- distributed systems
- debugging
- python
- tensorflow
- pytorch
- kubernetes
- docker
- aws
- gcp
- azure
- sql
- data pipelines
Requirements
- 10 years of experience
- Level: staff
- Remote policy: remote
- Visa sponsorship: no
From the employer’s posting
About Legion 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 partne…
Read the full description on yurtsai’s careers pageApply without filling the form
Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.
Other roles at yurtsai
- Agentic Platform Engineering Manager (Remote US)Remote
- Solutions Engineer/Solutions Architect - Pre/Post Sales Engineering (D.C. Area)Washington D.C.
- DevOps Engineering Manager (D.C. Area)Washington D.C
- Principal Software Engineer - Platform (Remote US)Remote
- Senior Software Engineer - Machine Learning (Remote US)USA
- Staff Software Engineer - Platform (Remote US)USA