Staff Machine Learning Engineer, Software Vehicle Controls

Rivian; United States; On-site; USD 205,000 - 236,000; Full time

Job summary

An established industry player is seeking a Staff Machine Learning Engineer to join their innovative team. In this role, you will leverage big data and advanced machine learning techniques to optimize electric vehicle performance and enhance vehicle efficiency. Collaborating with engineers and data scientists, you'll develop sophisticated models and tools that push the boundaries of technology in the automotive sector. If you're passionate about the intersection of software and automotive engineering, and eager to contribute to an adventurous mission, this opportunity is perfect for you.

Benefits

Medical/Rx Insurance

Dental Insurance

Vision Insurance

Employee Premium Coverage

Qualifications

• 5+ years of experience in machine learning systems and expertise in Python.
• Strong understanding of statistical and machine learning concepts.

Responsibilities

• Design and optimize deep learning dataset generation and evaluation tools.
• Develop statistical and machine learning models for vehicle performance.

Skills

Python

Apache Spark

Machine Learning

Statistical Modeling

Deep Learning

Reinforcement Learning

Communication Skills

Education

M.S. or Ph.D. in Machine Learning, Engineering, Computer Science

Tools

Deep Learning Frameworks

Job description

About Rivian

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

At Rivian, our mission revolves around developing vehicles powered by software and data. As a Staff Machine Learning Engineer, you will be a crucial part of our team, working alongside engineers, data scientists, and domain experts to build models at scale, predict vehicle performance, and optimize SW parameters throughout the vehicle's lifetime. We leverage the power of big data collected from our extensive customer and commercial fleets to achieve this.

Your responsibilities will include the development of sophisticated machine-learning models, strategically leveraging the data harvested from vehicle telemetry. As a Staff Machine Learning Engineer at Rivian, you will contribute significantly to our commitment to pushing the frontiers of technological innovation in the automotive sector.

Responsibilities

• As a member of the Vehicle Controls team, you will design, implement, and optimize deep learning dataset generation, training, and evaluation tools and infrastructure to advance the state of the art in vehicle online optimizations.
• Develop domain-specific digital twins in collaboration with vehicle controls SW engineers to mimic and adapt electric vehicles' overall performance.
• Develop statistical and machine learning models for estimating trip energy consumption, charging behavior, battery aging, and remaining useful life.
• Ship and deploy ML models for various vehicle domains to enhance electric vehicles' efficiency across different operating conditions.
• Work cross-functionally with domain experts and other data stakeholders to specify, implement, and deliver meaningful insights for electric vehicle controls and propulsion.
• Foster collaboration among engineering peers by creating well-structured, adaptable designs and code that promote teamwork and practical solutions.
• Demonstrate your ability to facilitate consensus during complex technical discussions, ensuring that we maintain a productive and cooperative working environment.
• Build deep learning models to enhance vehicle calibrations throughout its lifetime.

Qualifications

• M.S. or Ph.D. in Machine Learning, Engineering, Computer Science, or related STEM disciplines.
• 5+ years of industry experience in ML systems.
• Expert-level proficiency in Python and Apache Spark.
• In-depth understanding of statistical and machine learning concepts, including deep and reinforcement learning.
• Strong knowledge in mathematical modeling, RNNs, CNNs, Transformers, LSTMs, reinforcement learning, imitation learning, GANs, and time-series analysis and modeling of dynamic systems.
• Understanding electric vehicle controls and propulsion, encompassing high-voltage batteries, energy management, charging, or vehicle suspension.
• Excellent communication and interpersonal skills for both technical and non-technical audiences.
• Outstanding team player, capable of building consensus in a dynamic environment.
• Proven ability to provide direction, guidance, and hands-on support to drive results.

Pay Disclosure

Salary Range/Hourly Rate for California Based Applicants: $205,000.00 - $236,000.00 (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 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

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.