---
title: 'Machine Learning: Whole-Body Control at The Bot Company'
canonical: 'https://feeny.ai/job/machine-learning-whole-body-control-the-bot-company-san-francisco-2jyfd4cb4n47'
type: 'job'
last_seen: '2026-09-13'
---

# Machine Learning: Whole-Body Control at The Bot Company

- **Company:** The Bot Company
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Posted:** 2026-02-25
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/thebotcompany/69c93a4a-161a-49c9-89bc-4c3e0c4716e6

## Job description

The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution.

## What we look for in all candidates

All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate:

- Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains.
- Engineering curiosity: you naturally dig into how systems work, even outside your specialty.
- High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding.

Machine Learning: Whole-Body Control We are building high-performance whole-body controllers that produce robust, agile motion and manipulation in the real world. You will train low-level control policies in simulation and own the stack from environment design to large-scale training and sim-to-real deployment.

## What You'll Do

- Train whole-body policies for locomotion, manipulation, and coordinated motion.
- Build scalable simulation environments in IsaacLab, MuJoCo, or similar with parallel rollouts.
- Design rewards and curricula that enable stable long-horizon learning.
- Own sim-to-real transfer using domain randomization and structured evaluation.
- Run and debug large-scale GPU training experiments.

## Requirements

- Very strong coding skills in Python, C++, or Rust. CUDA is a plus.
- Strong foundations in modern reinforcement learning.
- Experience training embodied control policies.
- Hands-on robotics simulation experience.
- Solid intuition for dynamics, contact, and actuation.
- Comfortable running large-scale GPU experiments.

## Why Join

You’ll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you’ll thrive here.

## About The Bot Company

## Company Overview
- **One-liner**: The Bot Company is building a helpful robot for every home, starting with automating household chores to give people back their time.
- **Entity Type**: Private (Series A, Unicorn)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Paril Jain, Kyle Vogt, Luke Holoubek

## Core Business
- **Primary Industry**: Robotics, Artificial Intelligence & Machine Learning
- **Target Customers**: B2C (homeowners and families)
- **Mission**: To make the dream of robots doing all the little things that eat away at our time and energy a reality.

## Products & Services
- **Home Robot (unnamed)**: An AI-powered robot designed to perform household cleaning and chore tasks. The company is currently in stealth mode, but job postings and descriptions point to a general-purpose robot for the home. Type: Hardware + AI Software.

## Market Standing
- **Valuation/Market Cap**: $1–2.5 billion (unicorn, as of 2026) [dealroom.co](https://dealroom.co/companies/the-bot-company/)
- **Key Metric**: Total funding raised of $301 million (Series A: $151M in May 2024; Series B: closed in March 2025; an additional $250M round is upcoming) [pitchbook.com](https://pitchbook.com/profiles/company/597464-92)
- **Notable Investors/Partners**: Greenoaks, NFDG, Spark Capital (Nabeel Hyatt), Eclipse, Kleiner Perkins, Y Combinator, John Collison, Patrick Collison, Daniel Gross, and others [cbinsights.com](https://www.cbinsights.com/company/bot-company) [builtin.com](https://builtin.com/company/bot-company)
- **Growth Signals**: Rapidly scaled from founding (2024) to a team of 79–102 employees; backed by top-tier investors; multiple funding rounds within two years; hiring across ML, electrical engineering, mechanical engineering, and firmware roles.

## Competitive Advantages
- **Founding Team**: Co-founders include Kyle Vogt (former CEO of Cruise) and engineers from Tesla, Cruise, OpenAI, Google, Pixar, and other top tech companies [builtin.com](https://builtin.com/company/bot-company)
- **Strong Capital Backing**: Over $300M raised from a syndicate of elite VC firms, giving the company a long runway to develop complex hardware/software.
- **AI & Robotics Expertise**: Focus on whole-body control, world models, and data infrastructure – areas where the team has deep prior experience shipping products to hundreds of millions of users.

## Strategic Focus
- **Current Priorities**: Developing a general-purpose home robot with advanced AI capabilities (world models, whole-body control, 3D vision); building the data infrastructure and firmware necessary for reliable real-world operation.
- **Direction for Growth**: Moving from stealth to a publicly announced product; scaling the engineering team and beginning pilot deployments.

## Why Work Here
- **Culture**: Small, mission-driven team of engineers, designers, and operators based in San Francisco. Emphasis on building “amazing products and experiences” from scratch.
- **Work Policy**: In‑office (San Francisco, CA) with some remote roles available. Most roles are on-site at 552 Brannan Street [builtin.com](https://builtin.com/company/bot-company)
- **Notable Perks**: Opportunity to work on cutting-edge robotics and AI at a well-funded startup; direct impact on a product that could redefine household automation; access to top-tier investors and mentors.

## Sources
1. [ashbyhq.com](https://jobs.ashbyhq.com/thebotcompany) – Careers page and job listings
2. [cbinsights.com](https://www.cbinsights.com/company/bot-company) – Company overview, funding, investors, patents
3. [builtin.com](https://builtin.com/company/bot-company) – Culture, perks, team background, office policy
4. [pitchbook.com](https://pitchbook.com/profiles/company/597464-92) – Valuation, funding rounds, ownership status
5. [dealroom.co](https://dealroom.co/companies/the-bot-company/) – Valuation, headcount, founder equity breakdown

## Other roles at The Bot Company

- [Machine Learning: Multimodal Foundation Models](https://feeny.ai/job/machine-learning-multimodal-foundation-models-the-bot-company-san-francisco-9xmg35sd3bg9) — San Francisco, CA
- [Machine Learning: World Models](https://feeny.ai/job/machine-learning-world-models-the-bot-company-san-francisco-yxfbc0zp4b59) — San Francisco, CA
- [3D Vision](https://feeny.ai/job/3d-vision-the-bot-company-san-francisco-pv9ys7dxe7xj) — San Francisco, CA
- [Something Else](https://feeny.ai/job/something-else-the-bot-company-san-francisco-stva5270r5k5) — San Francisco, CA
- [Mechanical](https://feeny.ai/job/mechanical-the-bot-company-san-francisco-bt4y3c7khhed) — San Francisco, CA
- [ML Infra - Data Infrastructure](https://feeny.ai/job/ml-infra-data-infrastructure-the-bot-company-san-francisco-7p2s8bn5xyt2) — San Francisco, CA