Senior Machine Learning Engineer - Scene Understanding (Algo Group) at General Motors

Herzliya, Tel Aviv District, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

Bachelor's or advanced degree in Computer Science
Background in Machine Learning
Proven experience in designing, training, and evaluating deep NN models using PyTorch or equivalent frameworks
Hands-on experience with model compression, quantization, and deployment for resource-constrained devices
Strong proficiency in Python and C++, with experience in edge or embedded computing
Excellent communication and teamwork skills, with a strong motivation to work in a collaborative environment
Stand-out Qualifications
M.Sc./Ph.D. in computer science
Background in computer vision
Experience in transferring neural networks into embedded environment
Experience in the automotive industry

Responsibilities

Design and implement advanced NN architectures for scene understanding tasks such as object detection, segmentation, and classification
Train, fine-tune, and validate models on large-scale, real-world datasets to ensure robustness in diverse driving scenarios
Optimize models for edge devices through techniques such as quantization, pruning, distillation, and hardware-aware training—balancing latency, memory, and power constraints
Compile, deploy, and test NNs on automotive NN acceleration hardware platforms
Collaborate closely with software and systems teams to allow seamless integration into the vehicle software pipeline
Stay current with research trends in computer vision and efficient deep learning and help translate them into production-ready solutions

Skills

PyTorch

Python

Object Detection

Segmentation

Classification

Quantization

Pruning

Distillation

Model Compression

Computer Vision

Deep Learning

Neural Networks

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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