Path Robotics is hiring a

Senior Machine Learning Engineer, World Model

Columbus, United States

Build the Path Forward

At Path Robotics, we’re attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another. 

We are on the forefront of advancing artificial intelligence, emulating the incredible evolutionary leap that enabled our ancestors to model the world and develop a sense of self. This powerful combination—of understanding the world and forming a self model—allowed for groundbreaking exploration and learning. In this role, you’ll harness these same principles, applying your expertise to create advanced robot learning algorithms and models that expand the frontiers of AI. We’re seeking a visionary Senior Machine Learning Engineer with deep experience in Visual Language Models (VLM), Visual Language Action Models (VLA), large-scale model training, and foundational model development. 

This role can be located in our Bay Area or Columbus, Ohio offices.

What You’ll Do

  • Work on groundbreaking approaches to create a world model for robotic systems, applying it to challenging real-world applications
  • Develop and implement advanced computer vision algorithms and models.
  • Design and train large-scale models from scratch, including VLMs and VLAs..
  • Optimize and scale model training processes to handle vast amounts of data efficiently.
  • Collaborate with cross-functional teams to integrate computer vision solutions into various applications.
  • Conduct research and stay up-to-date with the latest advancements in computer vision and deep learning.
  • Mentor junior team members and provide technical guidance and support.
  • Participate in code reviews, debugging, and performance tuning of algorithms and models.
  • Contribute to the publication of research papers and patents.

Who You Are

  • PhD or Master’s degree in Computer Science, Electrical Engineering, or a related field.
  • 5+ years of experience in computer vision, deep learning, or related fields.
  • Proficiency in programming languages such as Python, C++, and frameworks like JAX, PyTorch, or similar.
  • Demonstrated experience with Visual Language Models (VLM) and Large Language Models (LLM).
  • Proven track record of training large-scale models from scratch and optimizing them for performance.
  • Strong understanding of machine learning algorithms, neural networks, and deep learning techniques.
  • Experience with distributed computing and parallel processing for model training.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong written and verbal communication skills.

Preferred Qualifications:

  • Experience with cloud platforms (AWS, Google Cloud, Azure) for large-scale model training.
  • Familiarity with reinforcement learning and generative models.
  • Contributions to open-source projects in the field of computer vision or machine learning.
  • Publications in top-tier conferences or journals.

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Why You'll Love It Here

  • Free lunch every day
  • Flexible PTO
  • Medical, Dental and Vision insurance with 100% coverage on monthly medical premiums for you and any dependents on select plans
  • 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the
    birthing parent (12-14 weeks total)
  • 401K through Empower
  • Paid Referral Bonus

 

 

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