Senior ML Systems Engineer

General Motors • Austin, TX

66d • $134,000 - $241,900

About The Position

This role is categorized as hybrid. This means the successful candidate is expected 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]. 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.

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 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.

Nice To Haves

• 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

• Ensure scalable, transparent, and reliable data ingestion and management.
• Develop fast, robust, and spike-resistant data consumption, data mining, and processing tools for the entire company.
• Develop orchestration for large-scale post-processing and computational pipelines.
• 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.
• 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 and contribute to the team’s product roadmap.
• Participate in team’s planning, code reviews, and design discussions.
• Manage conflicts proactively and consider the effects of projects.
• Work with partner teams and organizations to achieve cross-organizational goals.
• Conduct technical interviews and play an essential role in recruiting activities.
• 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
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees