Senior Machine Learning Engineer, AI Infrastructure, Autonomy
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Senior Machine Learning Engineer, AI Infrastructure, Autonomy
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Role Summary
We are looking for a full-time Machine Learning Engineer, with deep knowledge and strong enthusiasm towards establishing a state-of-art AI infrastructure for training very large foundation models and accelerating model training/inference. Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.
Responsibilities
- Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles
- Improve ecosystem for training infrastructure and deployment pipeline to accelerate model iteration and improve performance.
Qualifications
- PhD in CS/CE/EE, or equivalent, in industry experience
- Deep knowledge of PyTorch
- Experience with Cuda or Triton language for writing custom ops
- Knowledge of model training framework (e.g. PyTorch Lightning)
- In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models
- Experience of performing large scale distributed training of models
- A track record of profiling model and doing detective work to improve model training and inference speed
Preferred Qualifications
- Previous experience in the autonomous driving industry
- Knowledge of Nvidia TensorRT
- Experience with edge computing systems
- Knowledge of model optimization including quantization, pruning, etc.
Equal Opportunity
Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.
Candidate Data Privacy
Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes. This data includes contact, demographic, communications, educational, professional, employment, and other information. Rivian may use your Candidate Personal Data for the purposes of tracking interactions with our recruiting system, carrying out, analyzing and improving our application and recruitment process, establishing an employment relationship, complying with legal obligations, recordkeeping, ensuring security, and other permitted uses.
Rivian may share your Candidate Personal Data with internal personnel, Rivian affiliates, and Rivian’s service providers. Rivian may transfer or store internationally your Candidate Personal Data to jurisdictions including the United States, Canada, the United Kingdom, and the European Union.
Please note that we are currently not accepting applications from third party application services.
- Location:
- London, England, United Kingdom
- Salary:
- £125,000 - £150,000
- Job Type:
- FullTime
- Category:
- IT & Technology