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AI Research Scientist – Perception and Machine Learning

Bosch Group

AI Research Scientist – Perception and Machine Learning

Sunnyvale, CA
Full Time
Paid
  • Responsibilities

    Job Description

    The ideal candidate will passionately drive and further advance innovations in the field of computer vision but not limited to machine learning based approaches. The work includes conducting advanced research and development of novel algorithms and guiding business units to bring innovation ideas to products. Responsibilities include but not limited to:

    • Conduct advanced research and engineering in computer vision and machine learning to address challenges of mixed reality, visual sensing, and robotics for different Bosch application areas.
    • Work with an international team of experts to transfer the results of advanced research to Bosch business units. When necessary, build prototypes to verify research ideas.
    • Actively scout for the emerging technologies and predict market trends by monitoring tech news, events and seminars.
    • Provide expert opinions on relevant technology areas to facilitate strategic planning, R&D roadmap development, and business investment.
    • Summarize research findings in high-quality paper and/or patent submissions
  • Qualifications

    Qualifications

    BASIC QUALIFICATIONS

    • M.S. or Ph.D. in Computer Science or Engineering
    • 2+ years of industry R&D experience or equivalent graduate research experience for computer vision and machine learning algorithms (e.g., DNN, RNN, GNN, GAN, ViT, and NeRF-like techniques).
    • 2+ years hands-on experience in computer vision and deep learning topics with focus on at least two of the following areas: object detection/segmentation, 3D scene understanding, autonomous driving, mixed reality, localization, SfM, sensor fusion, and state estimation.
    • Programming experience in C++, Python, or Java and hands-on experience with libraries such as OpenCV, Tensorflow, and PyTorch.

    PREFERRED QUALIFICATIONS

    • Publication record in top venues in computer vision and/or machine learning, e.g. CVPR, ICCV, ICRA, IROS, RSS, ISMAR, ECCV, NeurIPS, ICLR, and SIGGRAPH.
    • Experience in working with hardware systems including sensors such as RGBD cameras, depth sensors, IMU, LIDAR, event cameras, etc.
    • Experience in leading R&D project & team dealing with international customers.
    • Experience in product development in the above-mentioned areas for consumer/enterprise markets.
    • Strong leadership skills with excellent English communication & teamwork skills.

    Additional Information

    BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

    • FIRST Robotics (For Inspiration and Recognition of Science and Technology)
    • AWIM (A World In Motion)

    By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled.

    For more information on our culture and benefits, please visit:

    Culture and Benefits | Bosch in the USA

    The U.S. base salary range for this full-time position is $150,000 - $200,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.

    In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; short and long term disability insurance; paid time off; parental leave, adoption assistance; and reimbursement of education expenses. Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome. Pay ranges included in the postings generally reflect base salary; certain positions may include bonus, commission, or additional benefits.