Tbwa Chiat/Day Inc
Machine Learning Engineer, Perception Santa Clara, California, United States
Tbwa Chiat/Day Inc, Santa Clara, California, us, 95053
Are you passionate about designing and deploying innovative perception algorithms for autonomous robots? Collaborative Robotics is seeking a Machine Learning Engineer to join our Perception team. This role is perfect for engineers enthusiastic about pioneering software that drives robust and adaptable robot perception in real-world environments.
Join us to reimagine the future of human-robot interaction.
Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around.
This role is located at our Santa Clara, CA headquarters or Seattle, WA office.
Key Responsibilities:
Develop and maintain perception software for our robot, encompassing both offline training and runtime inference.
Investigate the latest perception related research and find applications for our robot platform and use cases.
Apply cutting edge techniques and foundation models to enhance our online and offline perception workflows.
Leverage both 2D and 3D sensors to enable our robot to do real work in the physical world.
Collaborate with teams across the entire robotics stack and work closely together to define requirements of on robot perception capability.
Minimum Qualifications:
Bachelor’s in Computer Science or related field.
Participation in 1-2 relevant industry internships.
Experience with deep learning frameworks such as Pytorch, Tensorflow, etc.
Experience working with point clouds, depth images, and other types of 3D data.
Experience with perception for robotics, autonomous vehicles, or other real world applications.
Proficiency with Git, version control, and Linux environments.
Skilled in Python
Highly motivated teammate with excellent oral and written communication skills.
Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team.
Willing to occasionally travel.
Must have and maintain US work authorization.
Must be able to start full-time work in January 2025.
Preferred Qualifications:
Master’s Degree in Computer Science, AI, Robotics or related field.
Skilled in C++.
Experience deploying ML models on edge or other compute constrained environments.
Experience using simulation to generate synthetic datasets.
Experience with different labeling for computer vision problems such as object detection, classification, and segmentation.
Experience with ML development platforms such as Weights and Biases or Neptune.
Familiarity with ROS, ROS2 or other robotics platforms.
Experience maintaining large, versioned data sets for different computer vision tasks.
Ability to develop on cloud infrastructure and utilize cloud GPUs for training.
Familiarity with Docker and containerization.
The base salary range for this position is $170,000 - $180,000 plus equity and comprehensive benefits. Our salary ranges are determined by role and experience level. The range reflects the minimum and maximum target for new hire salaries for the position inclusive of all locations within the United States. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.
Collaborative Robotics is committed to a diverse and inclusive workplace. Collaborative Robotics is an equal opportunity employer and does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We are committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let your recruiter know.
To all recruitment agencies: Collaborative Robotics does not accept agency resumes. Please do not forward resumes to our employees. Collaborative Robotics is not responsible for any fees related to unsolicited resumes.
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* indicates a required field First Name * Last Name * Email * Phone * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education Degree * Select... End date year * Are you currently eligible to work in the United States? * Select... Do you now or in the future require visa sponsorship to continue working in the United States? * Select... Have you earned a Bachelor's degree in one of the fields mentioned above, as listed in the Minimum Requirements section? * Select... LinkedIn Profile * Website Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Collaborative Robotics’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select... Voluntary Self-Identification of Disability
Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Why are you being asked to complete this form?
We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp . How do you know if you have a disability?
A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability.
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