312 jobs for "Computer Vision/Machine Learning Engineer (Photography Intelligence)"

Description

The Role

We are seeking a highly skilled and experienced Senior Software Engineer to join our Autonomous Vehicles Data team. In this role, you will play a critical part in designing, developing, and maintaining the robust data platforms essential for the development and deployment of self-driving car technology.

What You'll Do

• Own and Improve deployment of key Autonomy Data platform services used in AV model training, mining, labeling and replay.

• Champion operational excellence via SLO/SLI definition and measurement including leadership in incident and support response.

• Collaborate with stakeholders (ML & Data Engineers), translate needs & pain points into requirements, build self-serve capabilities and drive adoption.

• Deliver e2e technical projects owning major technical decisions and tradeoffs & contribute to the team's strategic roadmap.

• Actively participate in team's planning, code reviews and design discussions.

• Conduct technical interviews, onboard new and mentor junior engineers.

Your Skills & Abilities (Required Qualifications)

• BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field.

• 5+ years in building and supporting large-scale data platforms, including deployment of high-performance services supporting Petabytes of weekly data serving.

• Expert-level proficiency in Java, C++, Go or Python , with a proven track record of designing and implementing robust, distributed systems.

• Expertise in deployment and managing services in at least one major public cloud provider (Azure, GCP or AWS) utilizing automation and observability for operational excellence

• Experience optimizing services for cost efficiency, performance & reliability.

• Experience with multi-language hosted services architecture and proven ability to manage the full operational lifecycle of systems.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Experience in implementing Data Processing Frameworks (Beam, Spark) and serving layers optimized for high-throughput, low-latency delivery.

• Passionate about self-driving technology and its potential impact on the world.

• Experience delivering (100+) petabyte-scale ingestion, processing, and serving architectures.

• Experience with SQL engines / queries.

#LI-KL2

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The salary range for this role is $153,200 - $269,200 . The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as the geography of the selected candidate.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Relocation benefits are available for candidates who qualify under company policy.

About GM

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.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

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 required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

About General Motors

We’re on a journey to create a world with zero crashes, zero emissions and zero congestion.

Size: 10,000+ employees
Industry: Engineering

View company profile