Senior Machine Learning Engineer

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, BiotechnologyIndustries

Requirements

Candidates should have 4+ years of experience in robotics or latency-sensitive backend services, with proven experience in machine learning and classification, and familiarity with ML frameworks like Tensorflow or PyTorch. Strong programming skills in modern C++ or Python are essential, along with experience building highly performant ML and system pipelines, and profiling CPU/GPU software. Expertise in setting scalable, efficient, fault-tolerant, and extensible architectures is required, as is experience working with Multiple Modality models and a passion for self-driving car technology.

Responsibilities

The Senior Machine Learning Engineer will evaluate and apply state-of-the-art multiple modality machine learning models for search and mining needs, performing fine-tuning, evaluation, and integration with company infrastructure. Responsibilities include developing scalable and cost-efficient mining solutions for petabyte-level data, supporting key training and evaluation projects, performing Multi-Modality MLLM model evaluation, fine-tuning, deployment, and bulk inference. The role also involves evaluating and improving data quality, providing cost estimations, building AI-Agent capabilities, supporting data pipeline orchestration, and contributing to autonomous vehicle technologies.

Skills

Machine Learning

Multi-Modality Models

VLM

MLLM

Data Mining

Model Evaluation

Model Fine-tuning

Model Deployment

Inference

Data Quality

Cost Estimation

AI-Agent

Data Pipelines

Distributed Systems

Software Engineering

Backend Development

Batch Data Processing

Autonomous Vehicles

Robotics

Classification

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