Machine Learning Engineer Only w2(USC or GC) only local to CA

Machine Learning Algorithm Engineer only local to California

Newark, CA (onsite) Consultant need to Local to Newark, CA and California

Contract

Only w2(USC or GC)

ONLY ON W2

ONLY LOCAL to CA

Automotive Industry Experience is Mandatory

Top 3 Hard Skills

Required 6+ Years of Experience

1. Minimum 3 years experience with theoretical foundations and expertise in deep learning algorithms, including

object detection, tracking, and segmentation.

2. Minimum 3 years Proficiency in C++ with experience writing efficient, maintainable code.

3. Minimum 3 years Proficient in Python with a focus on clean, efficient, and scalable software

development.

Required Qualifications

• Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation.

• Proficient in Python with a focus on clean, efficient, and scalable software development.

• Comfortable working with large codebases and debugging complex machine learning models.

• Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).

• Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments.

• Excellent communication skills and a strong team player.

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field.

•Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position.

•Advanced degrees are preferred.

Preferred Qualifications

Experience developing BEV transformer models for perception.

Proficiency in C++ with experience writing efficient, maintainable code.

Practical, hands-on approach to solving complex problems in autonomous driving.

Experience in testing and validating perception systems in real-world conditions.

Experience working in agile development teams.

Expertise in component and system integration, testing, and verification at the system and vehicle levels.