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.
Role Summary
The Smart Diagnostics team at Rivian supports the development and deployment of Rivian’s Smart
Diagnostics AI system that drives in-vehicle and remote diagnostics using traditional ML and Generative
AI. We focus on diagnosis, prognosis and predictive service and maintenance of Rivian vehicles. Our
systems are used by internal teams and Rivian vehicle owners alike.
We operate highly scalable infrastructure for serving and orchestrating LLMs, Vector Stores, and agents.
This role will be focused on delivering quality software and backend services, enhancing the utility of
GenAI frameworks, and exploring the bleeding edge of this new technology. This role is based out of our Palo Alto Office and reports directly to Sr. Manager, Smart Diagnostics team.
Responsibilities
● Work with LLM and AI/ML systems to drive impact through automation.
● Focus on multimodal inputs: text, image, audio or video.
● Architect, implement, deploy and evaluate models and features towards predictive and
preventive maintenance of Rivian’s fleet of vehicles.
● Write high-quality code, with emphasis on maintainability, readability, and testing.
● Review code and technical designs.
● Be thoughtful about the customer experience and limitations of modern AI systems.
● Willingness to learn and work on other parts of our platform stack.
● Design clean experiments and analyze effectively by performing statistical analysis.
● Gain a unique look into how EV’s work inside-out and strengthen your EV domain knowledge
● Collaborate with agile cross-functional teams to roll out new ML models in production
Qualifications
● 3+ years of experience building high impact ML models in production as a machine learning
engineer or applied machine learning scientist.
● Experience with ML software packages and tools (Scikit-learn, TensorFlow, Torch, Spacy, NLTK).
● Proficient in at least one or more programming languages including but not limited to Python or
Golang.
● Familiarity with modern data storage messaging and processing tools (MongoDB, Cassandra,
Redis, Spark, Elastic and big data systems).
● Solid foundation in statistics/linear algebra and self-sufficient in data exploration,
experimentation and analytics
● Experience with machine learning techniques and advanced analytics (e.g. regression,
classification, time series, causal inference, text analytics)
● Apply research and academic work to real-world problems
● Desire to learn new technologies on the job
● Knowledge of Agile Development of Accessible Software Tools
● Master’s Degree in related field
Preferred Qualifications
● PHD in related field
● Experience with timeseries data
● Worked at a SaaS or business software company
● Past experience with EV’s
Pay Disclosure
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 (“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.