Senior ML Infra Architect — Embodied AI Foundations
General Motors
United States
Hybrid
USD 153,200 - 234,100
Full time
14 days+
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Benefits offered by this job
Health and wellbeing benefit programs
Retirement savings plan
Tuition assistance programs
GM vehicle discounts
Job summary
A leading automotive company is seeking a professional to lead the design and deployment of scalable platforms for machine learning applications in autonomous driving. This role requires strong technical skills with robust frameworks and machine learning algorithms. The ideal candidate will collaborate with teams to drive innovation and optimize the development process. Exceptional coding skills in Python or C++ and a relevant degree are essential. The position is remote with occasional in-office requirements.
Qualifications
3+ years of experience building large-scale distributed systems/applications or ML applications.
Proven track record of building robust frameworks with long-lasting APIs.
Hands-on experience with the entire ML development lifecycle and MLOps practices.
Responsibilities
Lead the design and deployment of scalable platforms for machine learning models.
Own complex technical projects and make key architectural decisions.
Collaborate with partner teams for maximum benefit from systems built.
Skills
Building large-scale distributed systems/applications
Building robust frameworks
Machine learning algorithms
Modern cloud infrastructure
Containerization and orchestration technologies
Exceptional coding skills in Python or C++
Education
BS, MS, or PhD in Computer Science, Math, or equivalent practical experience
Tools
Docker
Kubernetes
Deep learning frameworks (PyTorch, TensorFlow)
Job description
A leading automotive company is seeking a professional to lead the design and deployment of scalable platforms for machine learning applications in autonomous driving. This role requires strong technical skills with robust frameworks and machine learning algorithms. The ideal candidate will collaborate with teams to drive innovation and optimize the development process. Exceptional coding skills in Python or C++ and a relevant degree are essential. The position is remote with occasional in-office requirements.