Senior ML Systems Engineer jobs in United States
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General Motors · 7 hours ago

Senior ML Systems Engineer

General Motors is seeking a Senior ML Systems Engineer to build and support a petabyte-scale data platform in the cloud. The role involves developing scalable data processing systems and ensuring efficient data management and ingestion to support ML tools and frameworks.

AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
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H1B Sponsor Likelynote

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 and mining 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 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

ML data processingBeamSparkCloud infrastructureBig dataPythonJava/ScalaSQLProblem solvingAttention to detailMentoringTeam collaboration

Required

7+ years of experience
Experience in working with big data
BA or BS 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

Preferred

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

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General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.

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 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)

Funding

Current Stage
Public Company
Total Funding
$8.51B
Key Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M

Leadership Team

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Mary Barra
Chair and Chief Executive Officer
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Tony Cervone
Senior Vice President, Global Communications
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Company data provided by crunchbase