---
title: 'Research Scientist (post-training) at Genmo'
canonical: 'https://feeny.ai/job/research-scientist-post-training-genmo-san-francisco-34hk5d2bfb26'
type: 'job'
last_seen: '2026-09-12'
---

# Research Scientist (post-training) at Genmo

- **Company:** Genmo
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/genmo/f09286ef-c08d-49c4-8635-c1d952440865

## Job description

We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values. Key responsibilities:

- Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent
- Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models
- Develop robust evaluation frameworks to measure model alignment, safety, and output quality
- Create and optimize data collection pipelines for human feedback and preferences
- Design and conduct experiments to validate alignment techniques and their scaling properties
- Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline
- Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment
- Mentor junior researchers and foster a culture of responsible AI development
- Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities

Qualifications:

- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field
- Must have:
- Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models
- Extensive experience implementing and optimizing large-scale training pipelines using PyTorch
- Deep understanding of reinforcement learning techniques, particularly RLHF
- Experience with distributed training systems and large-scale experiments
- Proven track record in designing and implementing robust evaluation frameworks
- Excellent communication skills with the ability to explain complex technical concepts to diverse audiences
- Strong software engineering skills and experience with complex shared codebases
- Ideal candidate will have:
- Experience with diffusion models or other generative architectures
- Background in fine-tuning large language models or generative models
- Experience working with human feedback data collection and annotation pipelines
- Strong aesthetic sense and understanding of video quality assessment
- Familiarity with alignment techniques such as constitutional AI or debate
- Track record of successful collaboration with product teams
- Experience with perceptual quality metrics and human evaluation design
- Contributions to open-source projects in AI alignment or generative AI

Additional Information

The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation.

Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the [Notice of E-Verify Participation](https://drive.google.com/file/d/1urlF3XKQTw83aJfpMKMwrUP1E1mUlNTO/view?usp=sharing) and the [Right to Work posters in English and Spanish](https://drive.google.com/file/d/1ZD4zax6Li8oTN_VHd9w3rpFPoWeaeGVO/view?usp=drive_link).

## About Genmo

## Company Overview
- **One-liner**: Genmo is an AI research lab developing open-source state-of-the-art video generation models to unlock visual understanding for artificial general intelligence.
- **Entity Type**: Private (Series A, raised $58.4M total)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022 (GitHub organization created December 2022) [github.com](https://github.com/genmoai)
- **Founders**: Paras Jain (Co-founder and CEO) [linkedin.com](https://www.linkedin.com/company/genmoai)

## Core Business
- Primary industry: Artificial intelligence / Generative media
- Target customers: B2B & B2C – developers, researchers, and content creators who use open-source models or the company’s interactive playground
- Mission or purpose: “Building open, state-of-the-art models for video generation towards unlocking the right brain of AGI.” [genmo.ai/careers](https://www.genmo.ai/careers)

## Products & Services
- **Mochi 1**: Open-source text-to-video model that turns written concepts into visual stories. Available via GitHub and ComfyUI for local customization and inference. [genmo.ai](https://www.genmo.ai/)
- **Playground**: Interactive web platform for testing and exploring the capabilities of Mochi without needing to run the model locally.
- **Research Publications**: The lab publishes interpretability and performance research on video diffusion models (e.g., internal behavior analysis of open-source video models). [linkedin.com](https://www.linkedin.com/company/genmoai)

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric (Funding)**: $58.4M total funding across two rounds – a $30M venture round (Feb 2024) and a $28.4M Series A (Oct 2024), both led by New Enterprise Associates (NEA). [linkedin.com](https://www.linkedin.com/company/genmoai)
- **Notable Investors/Partners**: New Enterprise Associates (NEA)
- **Growth Signals**: 
  - Rapidly growing GitHub stars – Mochi repository has over 3,600 stars. [github.com](https://github.com/genmoai)
  - Recently hired several PhD-level researchers (Yue Fan, Yao Fu, Shyam) and a Member of Technical Staff. [linkedin.com](https://www.linkedin.com/company/genmoai)
  - Active job postings for research, engineering, and design roles (5 open positions as of mid-2025). [jobs.ashbyhq.com](https://jobs.ashbyhq.com/genmo)

## Competitive Advantages
- **Open‑source leadership**: Mochi 1 is considered a new state‑of‑the‑art in open text‑to‑video, offering a transparent alternative to closed models.
- **Research‑first culture**: The team focuses on fundamental advances in video world models, with published interpretability work.
- **Early mover in open‑source video generation**: Few competitors offer a comparable open‑source video model with active community and playground.

## Strategic Focus
- Continue advancing the capabilities of video world models to understand the physical world.
- Expand the open‑source ecosystem around Mochi, enabling broader customization and community contributions.
- Hire top research scientists (diffusion, post‑training) and engineering talent (GPU performance, research engineering) to accelerate model development. [genmo.ai/careers](https://www.genmo.ai/careers)

## Why Work Here
- **Benefits**: Fully paid health, dental, and vision insurance; 4% 401(k) matching; unlimited PTO and sick time; daily free lunch and dinner; commuter subsidy. [genmo.ai/careers](https://www.genmo.ai/careers)
- **Culture**: Small, research‑driven team (approx. 11 employees) with a flat structure and direct impact on cutting‑edge AI.
- **Office & Remote**: San Francisco HQ; roles listed as “San Francisco HQ · Full Time” – likely requires in‑office presence with commuter support.
- **Engineering culture**: Opportunity to work on large‑scale distributed training, GPU optimization, and open‑source contributions. Recent hires from top labs (Cohere, Leonardo.Ai, Microsoft, NVIDIA). [linkedin.com](https://www.linkedin.com/company/genmoai)

## Sources
1. [genmo.ai](https://www.genmo.ai/) – Company homepage, product overview, open source details
2. [genmo.ai/careers](https://www.genmo.ai/careers) – Careers page, benefits, open roles
3. [linkedin.com](https://www.linkedin.com/company/genmoai) – Company financials, headcount, recent hires, office locations
4. [github.com](https://github.com/genmoai) – GitHub organization, Mochi repository stars and description
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/genmo) – Active job listings (Research Scientist, GPU Engineer, Founding Product Designer)

## Other roles at Genmo

- [Research Scientist (diffusion)](https://feeny.ai/job/research-scientist-diffusion-genmo-san-francisco-7d4n8smdbgqd) — San Francisco, CA
- [Research Engineer (New Grad)](https://feeny.ai/job/research-engineer-new-grad-genmo-san-francisco-vj3dwx33v5ry) — San Francisco, CA
- [GPU Performance Engineer](https://feeny.ai/job/gpu-performance-engineer-genmo-san-francisco-5bh8v1qprvfz) — San Francisco, CA
- [Founding Product Designer](https://feeny.ai/job/founding-product-designer-genmo-san-francisco-sats5vbhy81z) — San Francisco, CA