Rivian is 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.
You will be a key member of the Perception team at Rivian, which develops advanced machine learning algorithms that directly impact safety critical self-driving features of our category defining vehicles.
Задачи
As a member of the Autonomy team, you will guide the architecture, implementation, and deployment of foundation models that act as learned world models
These models will support not only perception tasks (e.g., object detection, scene understanding) but also downstream decision-making and closed-loop autonomy
Key areas of responsibility include
Developing technical strategy and architecture for foundation models as unified world models
Developing multi-modal, multi-task transformer-based systems that support closed-loop autonomy
Building training and evaluation pipelines at scale across petabytes of real-world and simulated driving data
Collaborating with cross-functional teams across perception, planning, simulation, and ML infrastructure
Driving alignment between model capabilities and real-world deployment constraints (latency, robustness, validation)
Publishing internal technical guidance and mentoring engineers across autonomy ML
Требования
B.S., M.S., or Ph.D. in Computer Science, Robotics, or a related field
7+ years of experience building and deploying large-scale ML systems
Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation
Strong software engineering background, with fluency in Python and C++
Experience training and evaluating transformer models or end-to-end autonomous agents
Familiarity with real-time inference systems and autonomous vehicle constraints
Proven leadership in driving ML projects from research to production
Prior work on end-to-end autonomous driving architectures (e.g., imitation learning, behavior cloning, world models)
Experience with sensor fusion (LiDAR, camera, radar) in a learned model
Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws
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
(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
How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role
AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans
We use AI to support efficiency and consistency, not to replace human judgment
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