Offer summary

Qualifications:

BS or MS in computer science or related field, or equivalent industry experience., 3+ years of relevant experience as a machine learning engineer., Experience with machine learning libraries such as PyTorch and Slurm, and software experience in Python., Familiarity with version control systems like Git and ability to communicate technical information effectively..

Key responsibilities:

Support training, optimization, and deployment of machine learning models for humanoid robots.

Develop systems to monitor and improve robot perception performance in real-world environments.

Collaborate with cross-functional teams to solve complex problems related to manipulation, navigation, and planning.

Implement data collection and analysis protocols to enhance machine learning models and performance.

Job description

Agility Robotics is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people’s lives more fulfilling.

About The Role

Our Autonomy Perception Team is growing rapidly and we are looking for talented engineers to join our small, agile, world-class team. In this role you will support efforts to build perception features that will enable Digit to autonomously interact with its environment and manipulate objects during real-world deployments with industry partners.

About The Work

Support training, optimization, and deployment of machine learning models on a large fleet of state-of-the-art humanoid robots
Train and deploy custom machine learning models to improve robot perception and task performance for specific customer environments and applications
Develop systems to monitor perception performance for robots in the field
Develop robot data collection, annotation, and analysis protocols to improve machine learning models and perception performance for robots in the field
Support cluster hardware, software, and protocols for training and evaluating machine learning models
Support machine learning performance tests on secondary cluster that uses robot compute and GPU hardware
Work with other teams in software (Manipulation, Navigation, Planning, and Controls) to solve complex cross functional problems

About You

BS or MS in computer science or related field or have equivalent industry experience
3+ years of relevant experience as a machine learning engineer
Experience training ML models (cluster-based training is a plus)
Familiarity with common machine learning libraries such as (but not limited to) PyTorch and Slurm
Software experience in Python
Experience with version control (Git)
Ability to communicate technical information effectively both orally and in writing with other team members
Ability to work independently and as part of a team with a demonstrated ability to establish and maintain effective working relationships
Authorization to work in the USA

You might also have:

Experience setting up compute cluster for simultaneously training and validation of multiple ML models
Experience deploying neural networks with limited compute (e.g., TensorRT, ONNX, Pytorch Mobile, Tensorflow Lite, etc.)
Experience with robotics hardware and embedded systems
Experience with data annotation services
Experience with GPU Programming (eg. CUDA, OpenGL)
Experience with modern C++
Exposure to standard agile and software development processes (issue tracking tools (Jira), feature branching, version control (Git), continuous integration and deployment

Benefits

401(k) Plan: Includes a 6% company match.
Equity: Company stock options.
Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
Benefit Start Date: Eligible for benefits on your first day of employment.
Well-Being Support: Employee Assistance Program (EAP).
Time Off:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
On-Site Perks: Catered lunches twice a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
Parental Leave: Generous paid parental leave programs.
Work Environment: A culture that supports flexible work arrangements.
Growth Opportunities: Professional development and tuition reimbursement programs.
Relocation Assistance: Provided for eligible roles.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Apply Now: https://grnh.se/b444bbd04us

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