Staff ML Systems Engineer at General Motors

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

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

Responsibilities

Lead 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 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

Skills

Key technologies and capabilities for this role

BeamSparkCloud TechnologiesDistributed SystemsData IngestionData ProcessingData PipelinesOrchestrationML Data PlatformScalable Data Systems

Questions & Answers

Common questions about this position

Is this role remote or hybrid, and where are the office locations?

This role is categorized as hybrid, requiring the successful candidate to report to offices in Austin, TX, Mountain View, CA, or the Greater Seattle Area three times per week at minimum, or other frequency dictated by the business if more than 3 days.

What is the salary range for this Staff ML Systems Engineer position?

This information is not specified in the job description.

What key skills and experience are required for this role?

Required qualifications include 10+ years working with big data, experience building ML data processing systems using Beam/Spark, optimizing data processing clusters for cost efficiency and performance, building high-throughput serving systems, full ML model lifecycle solutions, and scalable cloud infrastructure with Python or Java/Scala.

What does the team culture or work environment look like at GM for this role?

The role emphasizes a startup mentality with openness to dealing with uncertainty, championing engineering excellence, participating in planning, code reviews, design discussions, collaborating across teams, conducting technical interviews, and mentoring junior engineers.

What makes a strong candidate for this Staff ML Systems Engineer position?

A strong candidate has 10+ years in big data, hands-on experience building and optimizing ML data systems with Beam/Spark, full ML lifecycle expertise, cloud infrastructure skills in Python/Java/Scala, a Bachelor's in a relevant field or equivalent, passion for self-driving tech, attention to detail, and a startup mentality.

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