Tech Lead Manager, Machine Learning - Perception

Davita Inc.; Palo Alto (CA); On-site; USD 179,000 - 224,000; Full time

Job summary

A leading company in the electric vehicle sector is seeking a Tech Lead Manager to steer the evolution of perception systems. The role involves leading a team of machine learning engineers in developing robust models that enhance autonomous driving capabilities. Ideal candidates will have a strong technical background and significant experience in leadership, driving innovation and integration across teams.

Benefits

Robust medical/Rx, dental and vision insurance

Coverage effective on first day of employment

Qualifications

• 8+ years post-graduation experience in machine learning or robotics.
• 3+ years in technical leadership roles.
• Proficiency in developing perception algorithms.

Responsibilities

• Guide strategy and architecture for machine learning models.
• Lead the development of scalable ML models for perception tasks.
• Develop and mentor a high-performing team.

Skills

Machine Learning

Computer Vision

Collaboration

Communication

Education

MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering or related field

Tools

Python

C++

PyTorch

TensorFlow

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

WeareseekingaTechLeadManager(TLM)toleadtheevolutionandscalingofourperceptionsystems.Youwillguideadedicatedteamindevelopinganddeployingrobustmachinelearningmodelsthatenableourvehiclestounderstandtheirenvironment.Thisroleinvolvescross-functionalcollaboration,architectingsolutions,anddrivingthetechnicalroadmaptoadvanceourperceptiontechnologies.

Responsibilities

AsamemberofourAutonomyorganization,youwillguidethestrategy,architecture,anddeploymentofmachinelearningmodelsforourvehicle'sperception.Thesemodelssupportautonomousdrivingfeaturesandin-vehicleexperiencesbyenablingenvironmentalunderstanding.Yourworkwilldirectlyimpactthecorefunctionalitiesofourautonomoussystems.

Keyareasofimpactinclude:

• TechnicalStrategy&SystemArchitecture:Defineanddrivethetechnicalvision,architecture,andscalingroadmapforperceptionsystems,ensuringtheymeetautonomousdrivingdemandsandchampionnewtechnologies
• PerceptionModelLifecycleManagement:Leadtheend-to-end development of scalable ML models for critical perception tasks (object detection, tracking, scene understanding, mapping), including MLOps, data pipelines, and optimization for robust onboard deployment
• TeamLeadership&Mentorship:Build,mentor,andleadahigh-performingteamofmachinelearningengineers,fosteringacultureofinnovation,technicalexcellence,andcontinuousimprovement
• Cross-FunctionalCollaboration&Integration:Partnereffectivelywithteamsacrosstheautonomystack(e.g.,prediction,planning,simulation,hardware,MLinfrastructure)todeliverseamlesslyintegratedandhigh-performingautonomousfeatures

Qualifications

• MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
• Experience (typically 8+ years post-graduation) in machine learning, computer vision, or robotics, with significant work in perception for autonomous systems
• Experience (typically 3+ years) in a technical leadership or management role, leading engineering teams on complex projects
• Technical depth in machine learning, deep learning architectures (e.g., CNNs, Transformers), and computer vision algorithms
• Experience developing and deploying perception algorithms (e.g., object detection, segmentation, tracking, SLAM, multi-sensor fusion) in real-world applications
• Proficiency in Python and C++
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and MLOps tools/platforms
• Communication, interpersonal, and collaboration skills for working in a dynamic, cross-functional environment

Pay Disclosure

Salary Range for California Based Applicants: $179,000.00 - $223,800.00 (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.