---
title: 'Research Engineer at Metis, Inc.'
canonical: 'https://feeny.ai/job/research-engineer-metis-inc-san-francisco-cdymsev3f69b'
type: 'job'
last_seen: '2026-09-07'
---

# Research Engineer at Metis, Inc.

- **Company:** Metis, Inc.
- **Location:** San Francisco, CA
- **Posted:** 2025-10-06
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/metisinc/jobs/4034476009

## Job description

## About the Role

As a Research Engineer at Metis, you’ll work on building the next generation of autonomous post-training systems that leverage our Mantis platform. You’ll operate at the intersection of cutting-edge ML research and scalable engineering, designing, implementing, and deploying algorithms that improve how AI agents learn from feedback, synthetic data, and real-world interactions.

You’ll move seamlessly between papers and production, leading large-scale experiments, creating optimized training pipelines, and helping shape the future of post-training autonomy. You’ll have significant ownership, high compute budgets, and the mandate to push the state of the art in applied reinforcement and preference optimization.

## What You'll Do

- Research and help build an autonomous post-training agent leveraging the Mantis platform
- Design and execute large-scale experiments on synthetic data generation and algorithmic architecture
- Develop and refine methods for reinforcement learning, reward modeling, and human feedback integration
- Collaborate cross-functionally with Core and Platform Engineering to deploy and evaluate models in production settings
- Publish or contribute to leading-edge research in the post-training domain
- Use tooling and compute efficiently to iterate on experimental pipelines and accelerate research velocity

## Requirements

- Deep experience in machine learning, preferably reinforcement learning, post-training, or alignment research
- Demonstrated research contributions; ideally published papers (ICML, NeurIPS) or public implementations
- Strong proficiency in Python and ML frameworks (PyTorch, JAX, or TensorFlow)
- Comfort with distributed training, high-throughput data pipelines, and large-scale experiment management
- Ability to reason independently, formulate hypotheses, and run experiments from idea → insight → product impact

## Compensation & Benefits

- Base: $200,000–$1,000,000
- Significant Equity
- Full medical, dental, and vision
- Wellness & L&D stipend
- Equinox membership
- Breakfast, lunch, and dinner provided (Unlimited Doordash)
- $25,000 housing stipend

## About Metis

Metis helps enterprises and labs build the most reliable AI agents by leveraging post-training. Our platform enables the creation, improvement, and deployment of the most capable frontier agents designed for rigorous, real-world workflows.

Momentum

- 0 → six-figure monthly revenue in the last six weeks
- Working with several Fortune 500 enterprises & frontier AI labs
- Growing 150%+ MoM

Backed by

Y Combinator, CRV, and executives from OpenAI, Google, Mercor, NVIDIA, and others.

## About Metis, Inc.

## Company Overview
- **One-liner**: Metis helps enterprises and frontier AI labs build the most reliable AI agents through a post-training platform that enables creation, improvement, and deployment of capable agents for rigorous real-world workflows.
- **Entity Type**: Private (backed by Y Combinator, CRV, and executives from OpenAI, Google, Mercor, NVIDIA)
- **Headquarters**: San Francisco, California, USA
- **Founded**: Not publicly available
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Artificial Intelligence – post-training and AI agent infrastructure
- **Target customers**: B2B – Fortune 500 enterprises and frontier AI labs
- **Mission or purpose**: To enable enterprises and labs to build the most reliable AI agents by leveraging post-training, bridging the gap between research prototypes and production-grade systems.

## Products & Services
- **Mantis Platform**: A post-training platform for creating, improving, and deploying AI agents. It supports reinforcement learning, synthetic data generation, reward modeling, and human feedback integration, designed for mission-critical workflows.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Monthly revenue – six-figure range (reached from $0 in the last six weeks); growing 150%+ month-over-month
- **Notable Investors/Partners**: Y Combinator, CRV, and executives from OpenAI, Google, Mercor, NVIDIA
- **Growth Signals**: Rapid revenue growth (0 to six-figure MRR in six weeks), 150%+ MoM growth, working with several Fortune 500 enterprises and frontier AI labs

## Competitive Advantages
- **Specialized post-training focus** – Metis focuses exclusively on the post-training phase, a critical but underserved step in building reliable AI agents for production environments.
- **Traction with top-tier customers** – Already serving Fortune 500 enterprises and leading AI labs, demonstrating trust and real-world applicability.
- **Backing from elite investors and industry executives** – Y Combinator, CRV, and leaders from OpenAI, Google, and NVIDIA provide credibility and deep AI expertise.
- **Fast iteration and high engineering bar** – The team moves quickly while maintaining high standards for code quality, scalability, and simplicity.

## Strategic Focus
- **Building an autonomous post-training agent** – Research and development of an autonomous system (leveraging the Mantis platform) that can improve AI agents through reinforcement learning, synthetic data, and real-world interactions.
- **Scaling the platform** – Optimizing training stack, expanding platform scalability, and deploying models in production for enterprise customers.
- **Pushing the state of the art** – Publishing research, conducting large-scale experiments, and refining methods in applied reinforcement and preference optimization.

## Why Work Here
- **Compensation and benefits**: Base salary ranges from $150,000 to $1,000,000 depending on role, with significant equity. Full medical/dental/vision, wellness & L&D stipend, Equinox membership, unlimited Doordash for meals, and a $25,000 housing stipend.
- **Culture**: Tight-knit, product-driven engineering team with a high bar for correctness and speed. Engineers own projects end-to-end and tie decisions directly to business outcomes.
- **Work environment**: Office-based in San Francisco (hybrid/remote policy not specified, but roles are listed as San Francisco). Perks include breakfast, lunch, and dinner provided via unlimited Doordash.
- **Engineering culture**: Emphasis on writing production-grade code, leveraging AI tools to accelerate development, and reasoning holistically about systems. Opportunities to work at the intersection of cutting-edge ML research and scalable engineering.
- **Growth trajectory**: Joining at an early stage with explosive revenue growth and high impact; roles span platform engineering, research engineering, forward engineering, and operations.

## Sources
1. [Greenhouse – Create Your Own Role](https://job-boards.greenhouse.io/metisinc/jobs/4033363009)
2. [Greenhouse – Platform Engineer](https://job-boards.greenhouse.io/metisinc/jobs/4033263009)
3. [Greenhouse – Research Engineer](https://job-boards.greenhouse.io/metisinc/jobs/4034476009)
4. [Greenhouse – Forward Engineer](https://job-boards.greenhouse.io/metisinc/jobs/4033357009)
5. [JobsRadar – Metis, Inc.](https://jobs-radar.com/company/metisinc)

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