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Staff Machine Learning Engineer, Perception

extra holidays - extra parental leave

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

5+ years of experience in ML algorithms, Proficiency in deep learning and computer vision, Strong knowledge in linear algebra and optimization, Experience with relevant libraries like PyTorch.

Key responsabilities:

Lead architecture and roadmap for object detection team
Design and deploy machine learning for object detection
Promote best practices in software delivery
Collaborate with various teams to meet product needs

Agility Robotics Scaleup https://agilityrobotics.com/

201 - 500 Employees

See all jobs

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 Job

Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit’s success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms.

About the Work

As technical lead you will own the architecture and technical roadmap for the object detection and tracking team
Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and object pose estimation
Promote best practices in architecture, design, and testing to deliver high-quality, scalable software
Optimize deep neural networks and associated data processing to run efficiently on embedded systems
Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements

About You

5+ years of experience deploying machine learning based object detection algorithms on mobile robots with at least a year of experience in a technical leadership role
Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation
Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision
Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc
Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures

Bonus Qualifications:

Experience using YOLO, Faster/Mask R-CNN
Experience developing ML models for 3 or 6 dof pose estimation
Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment.
Publications in your field (CVPR, ICCV, RSS, ICRA preferred)

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