Machine Learning Engineer (Must have Automotive background)

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Machine Learning (ML)
Embedded Systems
Automotive

Job Details

Must have Automotive background
Position: Machine Learning Engineer (Automotive Full-Stack SW Engineer)

Type: 12+ Month Contract | Hybrid (2 days remote, 3 days onsite Tue/Wed/Thu)
Location: Palo Alto, CA
Requirements

  • Background: Automotive industry experience required (5 10 years) candidates must have automotive experience

  • Local/Nearby Candidates Only able to work onsite as scheduled

Role Focus

  • Collaborate with the HMI team to implement next-generation interfaces

  • Apply Machine Learning to enhance user interface and interaction design

  • Prefer background in AI

  • Experience with instrument-cluster front ends and HMI software

  • Strong Linux skills, moving into embedded environments

  • Embedded software development a strong plus (developer-oriented)

Technical Skills

  • Proficiency in C#

  • CAN (Controller Area Network) protocols

  • WebSockets and data-communication infrastructure

  • Familiar with software integration in embedded/automotive systems

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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