Senior Machine Learning Engineer, AI Infrastructure, Autonomy

Rivian; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading electric vehicle manufacturer is seeking a Senior Machine Learning Engineer to establish AI infrastructure for training large models. You will design and deploy deep learning models to enhance autonomous driving capabilities. Ideal candidates hold a PhD and possess deep knowledge of PyTorch and distributed training. This full-time position is based in London.

Qualifications

• PhD required in a relevant field or equivalent industry experience.
• Experience with large scale model training and performance improvement.

Responsibilities

• Design, train, and deploy large deep learning models.
• Improve infrastructure for model training and deployment pipelines.

Skills

Deep knowledge of PyTorch

Experience with Cuda or Triton language

Knowledge of model training framework

In-depth knowledge of transformer architecture

Experience with large scale distributed training

Education

PhD in CS/CE/EE or equivalent

Job description

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 [e-mail].

Candidate Data Privacy

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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.