Aurora Logo

Aurora

Applied Researcher

Posted 23 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
The Applied Researcher will focus on architectural exploration of Vision-Language Models, mentorship, practical implementation, and innovation in model architectures, bridging academic theory with scalable applications.
The summary above was generated by AI

Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.


The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

 

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.

 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a a PhD to serve as our technical pathfinder in the realm of Vision-Language-Action (VLA) models. You won't just be applying existing tech; you will be identifying the 'jagged edges'—the points of failure in current state-of-the-art models—and helping us rediscover and rebuild our architecture from the ground up.

In this role, you will focus on

  • Architectural Exploration: Deep dive into VLM/VLA architectures to determine their viability for our specific problem sets.
  • Technical Mentorship: Act as the subject matter expert and guide for an exceptionally capable engineering team eager to move into this space. 
  • Practical Implementation: Bridge the gap between high-level academic theory and practical, scalable applications.
  • Innovation: Redesign and optimize model architectures to leverage high-performance computing environments like Aurora.

Required Qualifications

  • PhD Graduate in AI, Computer Science, or Robotics (Top-tier research lab background)
  • Deep expertise in Vision-Language Models (VLM) and Vision-Language-Action (VLA) models
  • Hands-on experience with 'jagged edges'—knowing where current architectures fail and how to troubleshoot them
  • Practical researcher: Ability to translate complex papers into production-ready code
  • Collaborative Guide: Willingness to mentor existing team members and bridge the knowledge gap
  • Excitement for large-scale infrastructure and supercomputing environments (e.g., Aurora)
  • Architectural Creativity: Ability to rethink and redo entire model architectures rather than just fine-tuning
  • Strong programming skills in Python
  • Preference for a strong depth programming in modern C++

 #LI

#Mid-Senior 

Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.

We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.

Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.

Our commitment to inclusion

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected]

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

HQ

Aurora Mountain View, California, USA Office

280 N Bernardo Ave, Mountain View, CA, United States, 94043,

Similar Jobs

12 Days Ago
Hybrid
San Jose, CA, USA
219K-272K Annually
Internship
219K-272K Annually
Internship
Fintech • Machine Learning • Payments • Software • Financial Services
As an Applied Researcher, you will collaborate with teams to develop AI products, leveraging technologies to enhance customer experiences through research and model implementation.
Top Skills: Aws UltraclustersHuggingfaceLightningPyTorchVectordbs
13 Days Ago
Hybrid
San Jose, CA, USA
263K-327K Annually
Internship
263K-327K Annually
Internship
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves analyzing data, building AI models, and collaborating with cross-functional teams to create AI-powered banking products.
Top Skills: Aws UltraclustersHuggingfaceLightningPyTorchVectordbs
12 Days Ago
In-Office
San Francisco, CA, USA
180K-350K Annually
Senior level
180K-350K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Software
Lead design, training, and deployment of large-scale language and multimodal models for construction; build training infrastructure, data pipelines, evaluation and alignment (including RLHF), and production ML systems integrating human labeling and vision-language models.
Top Skills: ClmComputer VisionData IngestionDistributed TrainingDpoExperiment TrackingFlashattentionGpu ClustersGradient AccumulationGradient CheckpointingLoraMixed PrecisionMlmMlopsModel ServingPpoPyTorchQloraRlhfTokenizationTransformer ArchitecturesVideo UnderstandingVision-Language Models

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account