Sr. Machine Learning Engineer (Palo Alto) Job at Rivian and Volkswagen Group Technologies, Palo Alto, CA

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  • Rivian and Volkswagen Group Technologies
  • Palo Alto, CA

Job Description

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Join to apply for the Sr. Machine Learning Engineer role at Rivian and Volkswagen Group Technologies

About Us

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.

About Us

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.

The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.

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

Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $162,800.00 - $203,500.00 (actual compensation will be determined based on experience, location, and other factors permitted by law).

Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.

Equal Opportunity

Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. 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. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.

Rivian and Volkswagen Group Technologies 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 and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) 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 and Volkswagen Group Technologies 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 and Volkswagen Group Technologies 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 and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies’ service providers, including providers of background checks, staffing services, and cloud services.

Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, 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 see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information.

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

Seniority level

  • Seniority level

    Not Applicable

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Software Development

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Job Tags

Hourly pay, Full time, Contract work, Internship, Work at office, Remote work,

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