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.
Responsibilities:- As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production
- Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation
- Evaluate and drive adoption of state-of-the-art perception models
- 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
Requirements:- 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years 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
- 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)
Bonus Qualifications:- Experience using YOLO, Faster/Mask R-CNN
- Experience developing ML models for 3 or 6 dof pose estimation
This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Salary Range
$207,000-$323,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:- 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 four times 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.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Apply Now: https://grnh.se/b444bbd04us
