# Staff AI Engineer, Perception at Agility Robotics

> Hybrid · United States · Staff · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Aagilityrobotics%3A5973040004 (read 2026-11-06).

## Facts (observed)

- Company: [Agility Robotics](https://alderhq.app/companies/agility-robotics)
- Location text: Hybrid- Any Office (Fremont, CA, Salem, OR, or Pittsburgh, PA); Fremont
- Where it can be done from (inferred): Hybrid · United States (evidence: "Location: Hybrid- Any Office (Fremont, CA, Salem, OR, or Pittsburgh, PA); Fremont")
- Posted: 2026-04-23 (196 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://www.agilityrobotics.com/about/job-post?gh_jid=5973040004
- Skills listed (inferred): PyTorch

## Pay and sponsorship

- Posted pay: $207k–$323k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 170): p25 $246k, median $275k, p75 $300k
- H-1B filings at this company for similar roles, FY26: 12, median offered wage $222k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

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 Staff AI Engineer, 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
- Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related discipline, with a strong foundation in machine learning, robotics, and intelligent systems
- 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
- Experience in a technical leadership role
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 12 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aagilityrobotics%3A5973040004 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.