General Motors · 5 hours ago
Staff ML Systems Engineer
Bellevue, WA
Full-time
Hybrid
Lead/Staff
$165K/yr - $299K/yr
10+ years expGeneral Motors is a company focused on leading change towards a better, safer, and more equitable world. They are seeking a Staff ML Systems Engineer responsible for building and supporting a petabyte-scale data platform in the cloud, ensuring scalable and reliable data ingestion and management.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
Responsibilities
Lead us in the development, optimization and productionization of the next generation ML data processing platform using Beam and Spark in the cloud
Build self-serve capabilities to help customers to adopt the next generation ML data processing platform
Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud
Champion engineering excellence by continuously improving systems and processes
Own technical projects from start to finish, contribute to the team’s product roadmap, and be responsible for major technical decisions and tradeoffs
Effectively participate in team’s planning, code reviews and design discussions
Consider the effects of projects across multiple teams and proactively manage conflicts
Work together with partner teams and orgs to achieve cross-organizational goals and satisfy broad requirements
Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities
Effectively onboard and mentor junior engineers and/or interns
Qualification
Required
10+ years working with big data
Bachelor's in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience
Experience building ML data processing systems using Beam / Spark and its ecosystems from the ground up
Experience optimizing those data processing clusters for cost efficiency and performance
Experience building serving systems capable of delivering data at high-throughput, low-latency and high QPS in a cost-efficient and spike-resilient manner
Experience building full ML model lifecycle solutions - from feature engineering to training, validation, deployment and monitoring
Experience building scalable infrastructure on the cloud with Python or Java/Scala (or similar)
Passionate about self-driving technology and its potential impact on the world
Attention to detail and a passion for seeking truth
A track record of efficiently solving complex problems
Startup mentality - openness to dealing with unknown unknowns and wearing many hats
Preferred
MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field
Demonstrable expertise in a building end-to-end data ingestion, processing and serving systems at petabyte scale from the ground up
Proficiency in writing SQL queries for analytic purposes
Relevant publications
Benefits
Medical
Dental
Vision
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation & holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (599)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
2025-12-30
2025-12-29
2025-12-27
Company data provided by crunchbase