Staff ML Systems Engineer

General Motors • Austin, TX

113d • $165,000 - $298,800 • Hybrid

About The Position

As an engineer on this team, you will be responsible for building and supporting a petabyte-scale data platform in the cloud and providing powerful foundations for GM ML Data Platform tools, frameworks, and services. Responsibilities include ensuring scalable, transparent, and reliable data ingestion and management; development of fast, robust, and spike-resistant data consumption, data mining, and processing tools for the entire company; and development of orchestration for large-scale post-processing, and computational pipelines.

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.

Nice To Haves

• 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.

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.

Benefits

• Medical, dental, vision insurance.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Transportation Equipment Manufacturing
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees