Machine Learning Engineer - Driverless Technology

Employment Type: Full-time

Position Overview

We are seeking a skilled Machine Learning Engineer to research, design, and develop new machine learning solutions and algorithms for our driverless technology company. This role involves building and supporting a petabyte-scale data platform in the cloud, providing powerful foundations for the Machine Learning Infrastructure team's tools, frameworks, and services.

Responsibilities

• Build and support a petabyte-scale data platform in the cloud.
• Provide powerful foundations for Machine Learning Infrastructure team’s tools, frameworks, and services.
• 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.
• Utilize 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.
• Be responsible for major technical decisions and tradeoffs.
• Effectively participate in team planning, code reviews, and design discussions.
• Consider the effects of projects across multiple teams and proactively manage conflicts.
• Collaborate with partner teams and organizations to achieve cross-departmental 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.
• May telecommute.

Requirements

• Education: Master’s degree or foreign equivalent degree in Computer Science or a related field.
• Experience: 3 years of work experience as a Software Development Engineer, Software Engineer, or a related occupation.
• Technical Skills:
  • Operating Systems Knowledge including Linux
  • Functional Programming
  • Providing Code Reviews
  • Providing Architectural and Design Guidelines
  • Conducting Technical Interviews

Compensation

• Base Compensation: $180,960.00 - $244,800.00 Annually. Actual base compensation will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

About General Motors

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion, and we embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds, and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

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Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be re-contacted.