staff machine learning engineer
Agility Logistics Corp.
Pittsburgh, PA, United States
26 days ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$207,000.0 - $323,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Neural Networks
Computer Vision
Machine Learning
NumPy
Object Detection
OpenCV
Supervised Learning
Data Processing
Data Storage Technologies
Pytorch
Mobile Robots
Convolutional Neural Networks
+2 more
Machine Learning Operations
Software Library
Job description
- 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.
Benefits & conditions
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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.dice.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
EM
Eli McGarvie
over 3 years ago
LM
Luis Minvielle
How to Become an AI Engineer
over 2 years ago
BB
Benedikt Bischof
MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production
almost 4 years ago
BB
Benedikt Bischof
MLOps – What’s the deal behind it?
almost 4 years ago
PP
Prashant Pujara
What Industries Outside of AI Are Hiring The Most AI Experts?
about 4 years ago
BB
Benedikt Bischof
MLOps And AI Driven Development
over 4 years ago