Bear Robotics

Senior Robotics Engineer, Machine Learning - Perception

Redwood City, CA
USD 120k - 215k
PyTorch OpenCV NumPy Pandas Spark Machine Learning Deep Learning C++ Hadoop Python Keras Kafka TensorFlow Streaming
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Description

Job Title: Senior Robotics Engineer – Machine Learning - Perception
Department: Robotics Engineering
FLSA: Exempt

Job Summary:

This position is responsible for for proposing, prototyping and deploying Machine Learning models that address the needs of the perception and navigation systems in our robots. This role will include both data science (e.g. model development) and engineering (e.g. data preprocessing and model deployment) components.

Key Duties/Responsibilities:

  • Work closely with other engineers in the perception, navigation and system robotics teams to identify areas where ML solutions could help improve our product
  • Develop and deploy these modeling solutions on the robot.
  • Responsible for prototyping and deploying Machine Learning Computer Vision models
  • Work across teams to identify areas where ML solutions can enhance our products
  • Implement engineering solutions to improve data preprocessing and model deployment
  • Mentor interns or other junior engineers
  • Perform other related duties as assigned

Supervisory Responsibilities:

None.

Required Skills/Abilities/Qualifications:

  • MS/PhD in computer science, robotics or related field + related industry experience (internship counts)
  • Or B.S. in computer science (with emphasis on computer vision) +2 years of related industry work
  • Good theoretical understanding of Deep Learning (DL) models related to Computer Vision (CV).
  • Knowledge of common image classification, object detection and tracking algorithms.
  • Familiarity with recent research trends in DL/CV.
  • Comfortable working with Python and/or C++.
  • Experience working with one of the standard DL frameworks (TensorFlow, Keras, PyTorch).
  • Experience working with common image data tools (opencv, numpy, pandas, matplotlib).
  • Reasonable understanding of ML model development/deployment cycle.
  • Experience working with raw (un-preprocessed) data.
  • Great communication skills. This is a cross-functional role and requires ability to work across teams/domains.

Preferred Skills/Abilities/Qualifications:

  • High level understanding of traditional Computer Vision algorithms
  • Experience with ROS
  • Experience with big data processing/streaming frameworks (Spark, Kafka, Hadoop)
  • Experience deploying ML models to production
  • Experience developing and optimizing ML models for running on edge hardware

Education/Experience:

    Masters or PHD in Computer Science

      Physical Requirements:
      The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

      Prolonged periods of sitting/standing at a desk and working on a computer. The employee routinely is required to type, sit, stand, walk, talk, and hear.
      Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
      Ability to lift 20 lbs.

      About Bear Robotics:

      • Bear Robotics was founded in 2017 and we are 250+ motivated Bears who work tirelessly everyday to make our robots a reality. We have developed robotic solutions that autonomously navigate indoor environments for a variety of consumer solutions, like restaurants, senior living facilities, hotels & casinos just to name a few. Working for a dynamic start-up gives you a chance for rapid personal development. While building expertise in your field you’ll have countless opportunities for growth as we expand our product line and global reach. We’re not a big tech company yet, but we’re striving every day to be THE global player when it comes to hospitality robotics. In 2022 we raised $81 Million in Series B funding to accelerate growth and expand into new markets in southeast Asia and Europe. If you feel you’re ready for an adventure in robotics, we would love to hear from you.

      Benefits Summary

      • We hire the best, not only will you be surrounded by exceptionally smart and motivated people, but we believe excellent compensation and benefits are an essential part of our company's success.
      • Comprehensive Medical/Dental/Vision Insurance Plans
      • Company-Paid Long-Term and Short-Term Disability
      • Company-Paid Life/AD&D Insurance
      • Health Savings Account/Flexible Spending Account
      • Stock Options
      • Employee Assistance Program (EAP)
      • Wellness Reward Programs
      • Mental Health Benefits
      • Paid Vacation Time
      • Paid Sick Time
      • 401K Plan Employer Match (No Vesting Schedule)
      • Paid Bearental (Parental) Leave (16 weeks)
      • Paid New Bearental (Parental) Transitional Time Off (2 weeks)
      • Annual Paid Holidays (11 days)
      • Annual Paid Family Time-Off (Between Christmas Holiday and New Year)
      • Employee Recognition Bonus Program
      • Peer Recognition Bonus Program
      • Employee Referral Reward Program
      • Patent Reward Program
      • Monthly Mobile Phone Reimbursement
      • Monthly Internet Reimbursement
      • Casual Dress Policy
      • Financial Wellness Education Sessions
      • Free Daily In-Office Lunch
      • Unlimited Office Snacks and Drinks
      • Wellness Room with Massage Chair
      • Day-Friendly Office
      • Flexible Work Schedule
      • Office Parties and Family Events
      • The pay range for this position is$120K to $215K. Pay is dependent on the applicant's relevant experience.
      • Bear Robotics, Inc. is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state or federal law or local ordinance.



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