Senior ML Systems Engineer at General Motors

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Machine LearningIndustries

Requirements

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 Qualifications
Demonstrable expertise in 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

Responsibilities

Lead 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 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

Skills

Key technologies and capabilities for this role

Apache BeamApache SparkCloud ComputingDistributed SystemsData IngestionData ProcessingData MiningML PlatformsOrchestrationScalable Data SystemsPetabyte-scale Data

Questions & Answers

Common questions about this position

Is this role remote or hybrid, and where is the office location?

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 are the required years of experience and education for this position?

The role requires 7+ years of experience and a BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field, or equivalent real-world experience.

What key technical skills are required for the Senior ML Systems Engineer role?

Required skills include experience building ML data processing systems using Beam/Spark and its ecosystems from the ground up, optimizing data processing clusters for cost efficiency and performance, building high-throughput low-latency serving systems, full ML model lifecycle solutions, and scalable cloud infrastructure with Python or Java/Scala.

What salary or compensation information is provided for this role?

This information is not specified in the job description.

What makes a candidate stand out for this Senior ML Systems Engineer position?

Candidates stand out with 7+ years of experience in big data and ML systems, expertise in Beam/Spark for building scalable data platforms, cloud infrastructure skills, leadership in technical projects, mentoring abilities, and passion for self-driving technology; preferred qualifications include demonstrable achievements though specifics are not detailed.

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.

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