Senior Machine Learning Engineer, AI Infrastructure, Autonomy

Rivian Automotive; London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Rivian Automotive is looking for a technically skilled individual to design and deploy deep learning models. This role involves improving training infrastructures and requires advanced qualifications such as a PhD and extensive knowledge of PyTorch and model optimization. Join a team committed to creating adventurous, sustainable vehicles in a flourishing environment.

Qualifications

• PhD in relevant fields or equivalent industry experience.
• Deep knowledge of PyTorch is required.
• Experience in Cuda or Triton for custom ops.

Responsibilities

• Design, train, and deploy large deep learning models.
• Improve training infrastructure and deployment pipeline.

Skills

PyTorch

Cuda or Triton language

Model training framework knowledge

Transformer architecture

Large scale distributed training

Model profiling

Education

PhD in CS/CE/EE or equivalent experience

Tools

Nvidia TensorRT

Edge computing systems

Model optimization techniques

Job description

About Us

Rivianis on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

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.

Company Statements

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 [e-mail].

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 (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

Please note that we are currently not accepting applications from third party application services.