Senior Software Engineer, Data Science at General Motors

Warren, Michigan, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TechnologyIndustries

Requirements

Bachelor’s in Computer Science, Engineering, Mathematics, or related field, or equivalent work experience
5+ years of experience building and deploying advanced machine learning or deep learning systems in production
Strong experience in Python, major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers), SQL, and signal processing libraries (PyWavelets, Tsfresh)
Knowledge of ML modeling and toolsets (e.g. Scikit-learn, XGBoost for classification/regression tasks)
Experience with MLOps tools and deploying models via containerized microservices on cloud platforms
Data Visualization using PowerBI, Databricks Apps, Azure Apps
Exceptional analytical and independent problem-solving capabilities
Strong listening and communication skills and ability to collaborate cross-functionally

Responsibilities

Prototype and productionize scalable AI systems, with an emphasis on hybrid AI pipelines including LLMs
Lead AI/ML analysis of vehicle engineering and telemetry data ensuring robustness, interpretability, and physical relevance of outputs
Apply statistical methods, anomaly detection, and clustering to uncover patterns
Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights
Leverage advanced data analytics and signal processing techniques to extract actionable insights from complex telemetry datasets
Create interactive data visualizations to communicate and interpret complex data
Design and build supervised and unsupervised ML models
Develop and operationalize full-stack AI pipelines using MLOps practices (e.g., Docker, Kubernetes, FastAPI, MLFlow, cloud-native services)
Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production environments
Ensure scalability, reproducibility, and performance of deployed models through well-defined evaluation, monitoring, and retraining mechanisms
Mentor junior level employees, providing coaching and guidance on difficult issues

Skills

Data Science

Machine Learning

LLMs

Cloud

Python

Scalable Systems

Analytics

Prognostics

Telemetry

Software Engineering

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.

Land your dream remote job 3x faster with AI

Try Jobo Free