Machine Learning Engineer AI Research
Machine Learning Engineer AI Research
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Job Description
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or any other frequency dictated by the business.
Location:
Mt. View California - Mountain View Technical Center
About the Team:
Our AI Research team reporting directly to the Chief AI Officer is pioneering how cutting-edge machine learning can transform the way vehicles are designed manufactured and experienced. We are building the next generation of intelligent systemsintegrating multimodal foundation models generative AI robotics and predictive maintenance into real-world automotive innovation at global scale.
The Role:
As a Machine Learning Engineer you will contribute to the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will work closely with senior engineers and researchers to design prototype and deploy state-of-the-art AI models with direct application to vehicle design manufacturing operations robotics and simulation of physical systems. You will have the opportunity to translate cutting-edge research into production systems collaborate with a world-class team of scientists and engineers and grow your expertise while contributing to GMs AI research agenda and engaging with the broader AI community.
What Youll Do:
Adapt machine learning architectures for complex industrial applications including computer vision robotic manipulation predictive maintenance and process optimization
Build end-to-end deep learning pipelines that handle multi-modal sensor data (vision force/torque proprioception environmental sensors)
Contribute to the development of foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types
Contribute to the development of data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings
Work with partner teams to translate technical requirements into ML solutions and support integration efforts
Own the deployment and monitoring of ML models in production environments
Publish research findings in top-tier venues (for example NeurIPS ICML CVPR) and contribute to GMs presence in the research community
Required Qualifications:
PhD in relevant field or related discipline (STEM focused) or Masters degree with significant ongoing AI/ML contributions
In depth knowledge about modern deep learning architecturesTransformers Diffusion Models CNNs and model training techniques at scale
Strong hands-on experience with at least one of the popular AI/ML frameworks (PyTorch Tensorflow Keras or JAX)
Strong programming skills in Python and familiarity with one or more of systems languages (C/Java)
Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field
Ability to formulate research questions from ambiguous problems and apply rigorous experimental methodology including hypothesis formation evaluation and statistical analysis
Able to work full time 40 hours per week
Preferred Qualifications:
Experience with anomaly detection and predictive maintenance applications through course work research or projects
Experience with reinforcement learning for robotic control or process optimization through course work research or projects
Experience training multimodal deep learning models
Demonstrated research contributions in AI/ML technologies through publication of PhD research in top- tier conferences or journals
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 $130000 - $170000. 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.
What youll get from us (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.
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 were looking out for your well-beingat work and at homeso 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 or call us 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.
Employment Type
Full-Time
