Research Perception Scientist, Computer Vision and Machine Learning

Company: Bright Machines, Inc.
Location: San Francisco
Posted on: October 31, 2024

Job Description:

RETHINK MANUFACTURINGTheonly way toignite changeis 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 helptransformthe 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.Workingwith usmeans 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 ROLEAs 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 patentsWHAT 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 communicationWHO YOU ARE
    • You are customer obsessed
    • You drive for results, and act like an owner
    • You believe in the power of a team, diversity of thought, and unity of action
    • You always act with integrity, keep your commitments, and practice transparency
    • You think boldly, lead with courage, and demand the highest standards$190,000 - $230,000 a yearBE EMPOWERED TO CHANGE AN INDUSTRYWe're looking for people who believe they can personally helpmodernizea global industry and want to work alongside passionateteammateswho share their vision. As a globalcompanyworking toward a common goal, we have a highly collaborative and inclusive approach to work, strikinga balance between celebrating team success and focusing on individual growth.We existto transform the way things are made. Join us onthe journey.Bright Machines was named a "" by the World Economic Forum, one of "" by Forbes, and an Inc. "" winner.
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Keywords: Bright Machines, Inc., Sacramento , Research Perception Scientist, Computer Vision and Machine Learning, IT / Software / Systems , San Francisco, California