Jobs

Scholarships

Courses

Companies

Placements

Community

Home >

Jobs >

Research Perception Scientist, Computer Vision and Machine Learning

California, United States (On-site)

Research Perception Scientist, Computer Vision and Machine Learning

1 Month ago • 1-5 Years • Research & Development

About the job

8 skills required for this role

Test your skills to join the top 1% applicants for this job

unity

cpp

algorithms

computer-vision

deep-learning

python

communication

scalability

Job Description

Not hearing back from companies?

Unlock the secrets to a successful job application and accelerate your journey to your next opportunity.

RETHINK MANUFACTURING

The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.

Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you.

ABOUT THE ROLE

As a Research Perception Scientist in the Robot Perception team at Bright Machines, you will be one of the key contributors to research new innovative algorithms up to a production software level that will launch industrial-strength advanced features for the Bright Robotic Cells.

We are seeking highly skilled, highly motivated research scientists to join us. As member of the perception team, your primary job is to do research and develop cutting-edge solutions, technologies and algorithms in the field of computer vision and machine learning, solving the greatest challenges in the industrial automation domain. You will design, develop and deliver solutions using state-of-the-art algorithms, leveraging research from academia and industry. You will have opportunity to work with several other scientists, as well as university and attends conferences to meets other researchers. With your teammates. you will participate to brainstorming session where you will provide your expertise and contribute to publications and patents.

WHAT YOU WILL BE DOING

Research, develop and prototype advanced software technologies in the domain of Robotics, 3D reconstruction, Structure from Motion, calibration, large scale optimization, machine perception and deep learning
Analyze and improve performance, accuracy, robustness of the solutions currently deployed
Communicating with other scientists and with the company, brainstorming and contribute to publications and patents

WHAT WE WANT TO SEE

Phd Computer Engineering, Computer Science or the equivalent in experience with evidence of exceptional ability.
1-5 years of relevant experience
Programming language experience with C/C++, and Python
Experience with statistical analysis of data and mathematical modeling
Experience developing machine learning, multi-view geometry, convex optimization, and physics based algorithm
Publications at leading conferences such as CVPR, ECCV/ICCV, NeurIPS, ICLR, ICRA, IROS, SIGGRAPH
Excellent communication

BE EMPOWERED TO CHANGE AN INDUSTRY

We’re looking for people who believe they can personally help modernize a global industry and want to work alongside passionate teammates who share their vision. As a global company working toward a common goal, we have a highly collaborative and inclusive approach to work, striking a balance between celebrating team success and focusing on individual growth.

We exist to transform the way things are made. Join us on the journey.

Bright Machines was named a “Technology Pioneer” by the World Economic Forum, one of “America’s Most Promising Artificial Intelligence Companies” by Forbes, and an Inc. “Best in Business” winner.

View Full Job Description

Upload your resume, increase your shortlisting chances by 80%