---
title: 'Research Scientist / Research Engineer (Intern) at Ultra'
canonical: 'https://feeny.ai/job/research-scientist-research-engineer-intern-ultra-brooklyn-0t1bvtfpqw94'
type: 'job'
last_seen: '2026-09-05'
---

# Research Scientist / Research Engineer (Intern) at Ultra

- **Company:** Ultra
- **Location:** Brooklyn, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-05
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/ultra/am9icG9zdDppLs6_-yhxDKvXZ1YpbA98

## Job description

## About the role

We are looking for high-impact researchers and engineers to help bridge the gap between robot foundation models and production robot deployment. Speed and reliability are the two metrics that matter the most for industrial customers, yet most robot models struggle on both. You will post-train robot foundation models and do new research to hill climb task performance in our research lab and at real customer deployments.

## What You’ll Do

- Improve our robots’ ability to quickly learn new tasks and to execute those tasks quickly and reliably
- Lead research efforts around improving our models’ robustness and performance for real world tasks
- Integrate trained models with our production robotics stack and work with deployment teams to scale models across real customer sites

## Who You Are

- Have experience with fine-tuning large models for downstream tasks (IL, RL, etc.)
- Operate with high agency and are able to own significant research efforts end to end
- Care deeply about evaluation, benchmarking, and failure analysis
- A generalist who enjoys getting your hands dirty across the whole stack ML stack
- Passionate about seeing robots make an impact in the real world

Bonus Points

- Experience applying ML to robotics, with hands-on robot experience
- MS/PhD in Computer Science, Machine Learning, Robotics, or a related field

## About Ultra

## Company Overview
- **One-liner**: Ultra builds practical, general-purpose industrial AI robots that automate repetitive warehouse tasks like packing, sorting, and kitting, with zero integration and rapid deployment.
- **Entity Type**: Private (Seed stage; $625K total funding)
- **Headquarters**: New York, NY, United States
- **Founded**: 2024
- **Founders**: Jon Miller Schwartz (CEO), Max Friefeld (COO), Chetan Parthiban (Co-Founder & Chief Scientist), Oliver Ortlieb (Co-Founder & CTO)

## Core Business
- **Primary industry**: Robotics Engineering / Industrial Automation
- **Target customers**: B2B – warehouses, fulfillment centers, and logistics operators (enterprise and SMB)
- **Mission or purpose**: To deploy practical, general-purpose robots that generate immediate ROI by handling repetitive, high‑volume work, and to scale intelligence through real‑world data.

## Products & Services
- **[Operator](https://www.ultra.tech/)**: A stationary industrial AI robot designed for e‑commerce order packaging, sorting, and kitting. It operates up to 24 hours a day, requires no fixed infrastructure, installs in hours, and covers a 5×5 ft footprint with a 10 ft vertical reach. The robot learns new tasks from example data and improves fleet‑wide as more units are deployed.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $625K (Seed: $125K in Aug 2024; Pre‑Seed: $500K in Sep 2024 led by Y Combinator)
- **Notable Investors/Partners**: Y Combinator (lead investor), three additional investors in Pre‑Seed round
- **Growth Signals**: 14 total employees (as of early 2025), 19 employees (latest) – **333% YoY headcount growth**; robots already deployed in real warehouses generating revenue and data; launched the Operator robot in April 2026 with 184 LinkedIn reactions; actively hiring across engineering, research, deployment, and people operations.

## Competitive Advantages
- **Zero‑integration deployment**: Robots can be rolled in, plugged in, and turned on within hours – no expensive infrastructure or lengthy integration.
- **Stationary, safe design**: No tipping risk, no battery swaps, no charging breaks – designed for continuous operation in real warehouse conditions.
- **AI trained with examples**: Uses neural nets trained on teleoperation data (≈2 hours) to learn new tasks, enabling rapid adaptation to variable items and changing workflows.
- **Fleet learning**: Every deployed robot feeds data back to improve the entire fleet – a data‑scale moat that compounds with more deployments.

## Strategic Focus
- Rapidly scale deployments across the US in 2025‑2026, building on proven field traction.
- Continue improving robot foundation models for faster, more robust task learning and execution.
- Expand from e‑commerce packaging into adjacent warehouse workflows (e.g., kitting, returns).
- Grow the team (targeting engineering, research, deployment, and people functions) to support production scaling.

## Why Work Here
- **Early‑stage impact**: Join a YC‑backed startup founded by three‑time entrepreneurs (previously founded Layer By Layer, Voodoo Manufacturing) with a decade of collaboration.
- **Fast‑paced, hands‑on culture**: Engineers and researchers directly own firmware, hardware, ML models, and deployment – from design to field support.
- **Real‑world robotics**: Work on robots that are already generating revenue in customer warehouses, not just lab prototypes.
- **Growth trajectory**: 333% headcount growth in the past year, with ambitious plans to scale from 19 to hundreds of employees.
- **Location & flexibility**: Based in New York City; roles span HQ (assembly, testing, R&D) and field deployment across the US.
- **Open roles** (as of early 2026): Robotics Firmware Engineer, Robotics Hardware Engineer, Data Operations Lead, Research Scientist, Product Engineer, Deployment Engineer, Head of People – offering broad ownership and career growth.

## Sources
1. [ultra.tech](https://www.ultra.tech/)
2. [Y Combinator – Ultra](https://www.ycombinator.com/companies/ultra)
3. [Built In – Ultra Company Profile](https://builtin.com/company/ultra-ultra-tech)
4. [Built In – Ultra Jobs](https://builtin.com/company/ultra-ultra-tech/jobs)
5. [LinkedIn – Ultra](https://www.linkedin.com/company/ultraroboticsco)

## Other roles at Ultra

- [Senior Software Infrastructure Engineer](https://feeny.ai/job/senior-software-infrastructure-engineer-ultra-brooklyn-cag4a9js5h01) — Brooklyn, NY
- [Product Engineer](https://feeny.ai/job/product-engineer-ultra-brooklyn-292bdydcv44s) — Brooklyn, NY
- [Head of Marketing](https://feeny.ai/job/head-of-marketing-ultra-brooklyn-rarz21rtmbav) — Brooklyn, NY
- [Head of Customer Operations](https://feeny.ai/job/head-of-customer-operations-ultra-brooklyn-yjsm4ykqs5f5) — Brooklyn, NY
- [Data Operations Associate](https://feeny.ai/job/data-operations-associate-ultra-brooklyn-fwe9qb9nk4xe) — Brooklyn, NY
- [Head of People](https://feeny.ai/job/head-of-people-ultra-brooklyn-g8frrbpfpq6d) — Brooklyn, NY
- [Founding Product Manager](https://feeny.ai/job/founding-product-manager-ultra-brooklyn-4tb57rm0cymn) — Brooklyn, NY
- [Head of Finance](https://feeny.ai/job/head-of-finance-ultra-brooklyn-rtaykzbf200b) — Brooklyn, NY
- [Robotics Firmware Engineer](https://feeny.ai/job/robotics-firmware-engineer-ultra-brooklyn-vsb5dh914ger) — Brooklyn, NY
- [Supply Chain and Procurement Lead](https://feeny.ai/job/supply-chain-and-procurement-lead-ultra-brooklyn-p1brfk2ye8wc) — Brooklyn, NY