About Us

Gather AI is a supply chain robotics company founded by the PhDs from Carnegie Mellon’s Robotics Institute who created the world’s first provably-safe autonomous helicopter.  We have developed an Inventory-as-a -Service platform where fully autonomous drones collect warehouse inventory data at a press of a button.   This is an essential problem to solve as the warehouses we serve have typically misplaced over 10% of their inventory worth $10+ million dollars (seriously!). Their current manual techniques for taking inventory are falling down due the e-commerce boom brought on by COVID, and made worse due to the labor shortage and 70% annual staff turnover. Our drones take inventory 15x faster than humans with over 95% accuracy. We deliver this data through our web dashboard, which acts as a DVR for their warehouse where they run their inventory operation.  We are the leader in this new market with proven technology. Our drones are live in a dozen warehouses and have scanned over 150k pallet locations.   We are a pure-software robotics company and our key innovation is the world’s only autonomy and machine learning engine that can solve this problem with commodity hardware in GPS-denied environments. That means we avoid all of the hardware development pitfalls of traditional robotics companies and we can scale 10x faster. The robotics industry is starting to enter its “Google era,” and we are leading the charge.

About You

You are a hard-working, motivated and responsible individual that enjoys working on challenging problems and building well-engineered systems. You are excited to use the latest computer vision and machine learning techniques to process visual information (images) in a continuously running CV/ML pipeline. Your attention to detail and responsible nature make you an ideal person to transform basic concepts into working solutions within our ML-based image understanding pipelines. You are excited by the prospect of working with real-world customer images to solve pressing needs with the solutions you build.

What You'll Do

Reporting to the Chief ML Scientist as a Machine Learning Engineer, you will:

• Design, implement, test, and deploy computer vision and machine learning algorithms that analyze images to extract valuable insights into the inventory and assets for our customers.
• Conduct guided research and development applying state-of-the-art methods in ML and computer vision to collaboratively identify and solve problems in the logistics space, such as:
• Rack occupancy estimation and empty bin detection
• Counting boxes on racks 
• Improving OCR for small and blurry text
• Detecting and pallets and inferring properties such as color or position in rack
• Implement and update existing business logic as needed to use the results of the ML pipelines to compare against customer inventory data. 
• Lead the data management process, which involves defining the instructions for data annotation, presenting the instructions to the cloud factory team, and working with them iteratively to clear any doubts and improve the overall quality of annotations. 
• Support MLOPs and MLQA in continuously evaluating, scaling, and improving the organization's full-featured and growing inference suite.
• Contribute high quality improvements and fixes to our ML processing tools and pipelines.

What You'll Need

• BS in Computer Science/Engineering, or equivalent experience.
• Strong fundamentals in algorithms, mathematics, statistics, and computer science.
• 3+ years experience in solving computer vision and machine learning problems.
• Strong software engineering skills. 
• Proficiency in Python and the Python ML and computer vision ecosystem (Pytorch, OpenCV, Pandas, etc.)

Bonus points for...

•  Familiarity building or managing ML pipeline tools and technologies.
•  Extended degree or academic/personal exposure to advanced ML for computer vision. 
•  Experience working with ML training and inference in cloud environments, with technologies such as Google Vertex, Amazon Sagemaker, etc

Compensation and Benefits

• Competitive salary
• Comprehensive health insurance
• Parental leave
• Flexible schedule
• Unlimited paid time off

If this sounds like a good fit we’d love to meet you. Robotics is the future and we’re leading the charge with our software-only business model. Come help us change the world!