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Remote Research Computing Jobs in California (NOW HIRING)

Sustainable Talent

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... computing for over 25 years. We are looking for a Machine Learning Engineer- AI Safety & Security ... As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams ...

Orbofi

Conducting research on the latest advancements in AI/ML and incorporating those findings into ... Experience with distributed computing and parallel processing frameworks, such as Apache Spark and ...

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... computing for over 25 years. We are looking for Generative AI Security Engineer to support our ... As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams ...

Together AI

Solutions Architect

San Francisco, CA · On-site +1

$180/hr

Deliver high-value feedback to our Product, Engineering, and Research teams, ensuring our platform ... performance computing (HPC) environments. * Strong understanding of training, fine-tuning and ...

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... computing for over 25 years. We are looking for Generative AI Security Engineer to support our ... As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams ...

Sustainable Talent

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... computing for over 25 years. We are looking for a Machine Learning Engineer- AI Safety & Security ... As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams ...

Supermicro

Application Engineer

San Jose, CA · On-site +1

$80K - $100K/yr

... Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers ... Research and evaluate new features in Supermicro software products * Maintain andupdate software ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.

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Remote Research Computing information

What are the key skills and qualifications needed to thrive in Remote Research Computing, and why are they important?

To excel in Remote Research Computing, you need a strong background in computer science, data analysis, and scientific research methods, often supported by an advanced degree in a relevant field. Familiarity with high-performance computing (HPC) systems, cloud platforms, programming languages (such as Python or R), and experience with collaborative tools are typically required. Excellent problem-solving, communication, and self-management skills help professionals work effectively across virtual teams and complex projects. These skills and qualities are vital to ensure efficient research workflows, accurate data handling, and successful collaboration in a remote, technology-driven environment.

What is remote research computing?

Remote research computing refers to the use of computing resources, such as high-performance computers or cloud-based systems, that can be accessed from anywhere via the internet. This enables researchers to perform complex data analysis, simulations, or computational experiments without being physically present at the location of the hardware. It is especially useful for collaborative projects, large datasets, and situations where local computing power is insufficient. Researchers use secure connections and specialized software to interact with these remote resources efficiently.

What are some common challenges faced by professionals working in Remote Research Computing, and how can they be addressed?

Professionals in Remote Research Computing often encounter challenges such as ensuring secure and efficient data transfer, collaborating with geographically dispersed teams, and troubleshooting computational issues without in-person support. To address these challenges, it's important to become proficient with remote collaboration tools, maintain clear communication with team members, and stay updated on best practices for data security and cloud resource management. Many organizations also provide virtual onboarding and regular training sessions to help remote research computing staff adapt to evolving technologies and workflows.
What are the most commonly searched types of Research Computing jobs in California? The most popular types of Research Computing jobs in California are:
What are popular job titles related to Remote Research Computing jobs in California? For Remote Research Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Research Computing jobs in California look for? The top searched job categories for Remote Research Computing jobs in California are:
What cities in California are hiring for Remote Research Computing jobs? Cities in California with the most Remote Research Computing job openings:
Remote Research Computing jobs near you
Staff Machine Learning Engineer - ML Training Infrastructure

Staff Machine Learning Engineer - ML Training Infrastructure

General Motors

Sunnyvale, CA • Remote

$185K - $335K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 304 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers

Job description

Job Description
The Role:
We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.
What You'll Do:
  • Design and development of scalable, reliable, high-performance ML framework to support model training at scale.
  • Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost.
  • Raise the bar on system observability, debuggability, and operational excellence, and user experience.
  • Collaborate with cross-functional teams to integrate new features and technologies into the platform.

Your Skills & Abilities (Required Qualifications)
  • Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience
  • 5+ years professional software engineering experience.
  • 3+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models
  • Strong programming skills in Python, with proficiency in frameworks such as,PyTorch (preferred), TensorFlow, or similar
  • Experience with distributed computing, GPU computing, and cloud environments (AWS, Google Cloud Platform, Azure).
  • Willingness to travel to Sunnyvale, CA as needed
  • Comfortable working in highly ambiguous and dynamic environments

What Will Give You a Competitive Edge (preferred qualifications):
  • 5+ years of professional software engineering experience.
  • Self-motivated, strong execution, impact-delivering oriented
  • Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework
  • Experience with design and development of training framework that supports FSDP, Pipeline Parallelism and other scalable solutions to training large foundational models
  • Experience with profiling, analysis, debugging and optimizing training and data loading performance.
  • Excellent communication skills to resolve controversial, make consensus, communicate risks and give constructive feedback

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 compensation may not be representative for positions located outside of the California Bay Area.
  • The salary range for this role is $185,000 to $335,300. The actual base salary a successful candidate will be offered within this range 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.

Relocation: This job may be eligible for relocation benefits.
Benefits:
  • 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 & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.This job may be eligible for relocation benefits.
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.
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, emailus or call us at 1-. 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.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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