Machine Learning Engineering, California

Our Client, an EV Manufacturing company, is looking for a Machine Learning Engineering for their Newark, CA location.

 

Responsibilities:

Fine-tune and improve a variety of sophisticated software implementation projects Gather and analyze system requirements, document specifications, and develop software solutions to meet client needs and data Analyze and review enhancement requests and specifications Implement system software and customize to client requirements Prepare the detailed software specifications and test plans Code new programs to client’s specifications and create test data for testing Modify existing programs to new standards and conduct unit testing of developed programs Create migration packages for system testing, user testing, and implementation Provide quality assurance reviews Perform post-implementation validation of software and resolve any bugs found during testing

Develop and optimize perception algorithms for Level 2/3 autonomous driving systems using camera and LiDAR data.

Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning.

Research and integrate BEV-based transformer models for perception tasks.

Collaborate with cross-functional teams to ensure seamless integration and robust implementation.

Test, release, and deploy perception algorithms into Client production programs.

Support the validation and verification of perception algorithms using prototype and pre-production vehicles.

Propose innovative software algorithms to enhance future autonomous driving capabilities.

 

Requirements:

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.

Minimum 3 years experience with theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation.

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

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

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.

 

Why Should You Apply?

Excellent growth and advancement opportunities

 

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.