---
title: 'Principal Machine Learning Scientist at Gather AI'
canonical: 'https://feeny.ai/job/principal-machine-learning-scientist-gather-ai-open-to-00wtke9aacqh'
type: 'job'
last_seen: '2026-09-10'
---

# Principal Machine Learning Scientist at Gather AI

- **Company:** Gather AI
- **Location:** Open To, United States / Pittsburgh, PA
- **Work type:** remote
- **Posted:** 2026-03-03
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/gatherai/jobs/5067680007

## Job description

## About Us

Are you ready to build the future of the supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

## About the Team

This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product, and Operations. The role spans both deep technical work and collaboration with teams closest to the customer. As a Principal-level IC, you'll have real input into technical direction — not just executing on decisions, but helping make them.

## About the Role

We are looking for a Principal Machine Learning Scientist to advance the state of our computer vision systems for warehouse inventory scanning. You will work across the full ML lifecycle — from research and model architecture through training, deployment, and production monitoring — with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products.

This role is ideal for a senior ML practitioner who wants principal-level impact on a core product, a variety of deployment targets (cloud, on-prem, embedded), and real-world data with tangible business outcomes.

## What You’ll Do

- Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms
- Own the full ML lifecycle from research and experiment design through production deployment and monitoring — applying rigorous ablation studies and SOTA methodology
- Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization)
- Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact
- Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness
- Explore next-generation perception capabilities, including embedded and on-prem inference optimization for new deployment targets

## What You’ll Need

- 10+ years of experience in machine learning or computer vision
- Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow
- Strong Python proficiency and software engineering fundamentals; hands-on experience with OpenCV and GPU computing
- Track record of delivering production ML systems at scale, including model training, evaluation, and deployment
- MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

## Nice to Have

- Experience with drone, robotics, or autonomous systems perception
- Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL)
- Experience designing and deploying models for real-time inference on constrained compute platforms
- Warehouse, logistics, or supply chain domain experience

## About Gather AI

## Company Overview
- **One-liner**: Gather AI builds the Physical AI platform for logistics, using AI-powered vision on drones and material handling equipment to digitize warehouse operations in real time.
- **Entity Type**: Private – Series B ($74M total funding)
- **Headquarters**: Pittsburgh, United States
- **Founded**: 2017
- **Founders**: Sankalp Arora (CEO), Geetesh Dubey (Chief Systems Officer), Daniel Maturana (Chief ML Scientist)

## Core Business
- Primary industry: Logistics and warehouse management (Physical AI)
- Target customers: B2B, enterprise-scale logistics, manufacturing, retail, aerospace, automotive, and government – customers include GEODIS, NFI Industries, Barrett Distribution Centers, Axon, and dnata
- Mission: To give every facility in a network the same continuous picture of the floor, the intelligence to understand it, and the workflows to act on it – bringing the same intelligence to the physical world that exists in the digital one.

## Products & Services
- **Gather AI Prana Platform**: An end-to-end Physical AI platform with three layers:
  - **SEE**: AI-powered vision on forklift-mounted cameras (for moving items) and drones (for static inventory) that captures ten-plus structured data points per frame, achieving 99.9%+ inventory accuracy.
  - **THINK**: AI reasoning that investigates root cause across inventory, labor, and fulfillment, surfacing ranked, reasoned priorities before each shift.
  - **ACT**: Workflows that route decisions to the right person or system with pre-drafted tasks, closing the loop from capture to action.

## Market Standing
- **Valuation**: Not publicly disclosed (private company)
- **Key Metric**: 2.5x year-over-year bookings growth (250% growth); total funding of $74M (including a $40M Series B raised in 2026); average time to ROI is 6 months.
- **Notable Investors/Partners**: Backed by Tribeca Venture (noted on LinkedIn); deployed with GEODIS, NFI Industries, Barrett Distribution Centers, Axon, dnata, and the U.S. Department of Classified Antiquities.
- **Growth Signals**: Doubled operational footprint in 2026; named to Fast Company’s World’s Most Innovative Companies list for 2026; employee headcount grew ~68% year over year to 80+ employees; expanded into government sector; active job postings increased 333% YoY.

## Competitive Advantages
- **Closed-loop Physical AI**: Combines vision (SEE), reasoning (THINK), and action (ACT) in one platform – a unique integration that turns real-time visual data into prioritized tasks and automated workflows.
- **Deep domain expertise**: Founded by Carnegie Mellon robotics PhDs; CTO Andrew Hoffman was a founding engineer at Kiva Systems (now Amazon Robotics); team has decades of warehouse automation experience.
- **Network-wide consistency**: The platform enforces the same standard across every facility, enabling fixes from one building to become playbooks for the whole network.
- **99.9%+ accuracy** down to the case level, maintained continuously, not just during audits.

## Strategic Focus
- Scale platform across multi-facility enterprise networks and new verticals (government, aerospace, automotive).
- Continue investing in AI/ML autonomy and computer vision to expand the “THINK” layer’s root-cause analysis and predictive capabilities.
- Enhance network-wide outcomes by replicating operational playbooks across customer sites.

## Why Work Here
- **Culture**: Radical transparency, candor, accountability, speed, and a people-first approach. Decisions are made openly; everyone has a voice in shaping the company’s future.
- **Work model**: Fully remote or remote-flexible options available.
- **Benefits**: Competitive salary and equity, comprehensive medical/dental/vision, 401K, unlimited PTO, monthly wellness benefit, continuing education/tuition support, voluntary life insurance.
- **Engineering culture**: Opportunities to work on cutting-edge AI, ML, autonomy, computer vision, and robotics alongside former Amazon Robotics and CMU experts. Real customer impact at scale.

## Sources
1. [gather.ai](https://gather.ai)  
2. [gather.ai/company](https://gather.ai/company)  
3. [gather.ai/careers](https://gather.ai/careers)  
4. [gather.ai/about](https://www.gather.ai/about)  
5. [linkedin.com/company/gather-ai](https://www.linkedin.com/company/gather-ai)

## Other roles at Gather AI

- [ML Annotation QA Engineer](https://feeny.ai/job/ml-annotation-qa-engineer-gather-ai-open-to-fz96nnrq0f5c) — Open To, India
- [Staff Autonomy Engineer (MHE Vision)](https://feeny.ai/job/staff-autonomy-engineer-mhe-vision-gather-ai-open-to-xwrzam65zcy5) — Open To, United States / Pittsburgh, PA
- [Staff Autonomy Engineer (Drone)](https://feeny.ai/job/staff-autonomy-engineer-drone-gather-ai-open-to-9q1w90fjkesc) — Open To, United States / Pittsburgh, PA
- [Senior Robotics Platform Engineer (Robotics/Infra)](https://feeny.ai/job/senior-robotics-platform-engineer-robotics-infra-gather-ai-open-to-24kmb5w32ev7) — Open To, United States / Pittsburgh, PA
- [Staff Full Stack Engineer (Hybrid)](https://feeny.ai/job/staff-full-stack-engineer-hybrid-gather-ai-pittsburgh-fxc39zh48y3e) — Pittsburgh, PA
- [Principal Data Engineer](https://feeny.ai/job/principal-data-engineer-gather-ai-india-gb7hgwbveemp) — India
- [Senior Manager, Hardware](https://feeny.ai/job/senior-manager-hardware-gather-ai-pittsburgh-g0g1fht8vhym) — Pittsburgh, PA
- [UX Designer](https://feeny.ai/job/ux-designer-gather-ai-open-to-6zhb7g3cbtkw) — Open To, United States / Pittsburgh, PA
- [Senior QA Engineer](https://feeny.ai/job/senior-qa-engineer-gather-ai-hyderabad-tme00py0w0t3) — Hyderabad, India
- [Director of Machine Learning](https://feeny.ai/job/director-of-machine-learning-gather-ai-pittsburgh-rhtp64m9hkez) — Pittsburgh, PA / Open To, United States