---
title: 'Research Engineer at Antimetal'
canonical: 'https://feeny.ai/job/research-engineer-antimetal-hq-new-york-ny-n112cvsmbp0c'
type: 'job'
last_seen: '2026-09-12'
---

# Research Engineer at Antimetal

- **Company:** Antimetal
- **Location:** HQ / New York, NY
- **Compensation:** $200k–$400k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/antimetal/25218760-4496-405f-93ad-0c870e446270

## Job description

We’re looking for a Research Engineer to build the intelligent systems that power Antimetal. You’ll prototype new approaches, run experiments, and own the path from research to production. You’ll work closely with platform and product to shape agent capabilities and contribute to evaluation methodology. Infrastructure, and its corresponding observability, is a [hard domain to model](https://antimetal.com/resources/blog/building-a-unified-model-of-software-systems). Telemetry is high-volume, noisy, and ephemeral. Ground truth is approximate. We’re building AI agents that understand this complexity and can reason about what’s happening, why, and how to fix it, including making changes to code and configuration.

Research Areas Infrastructure Intelligence: Models that help us understand what’s happening in infrastructure and why. Detecting anomalies, forecasting issues, analyzing telemetry across logs, metrics, events, and traces, understanding causality, and connecting runtime behavior back to code. These capabilities form the foundation our agents use to reason about infrastructure. Autonomous Agents: Long-running, parallel agents that detect, diagnose, and remediate infrastructure issues, including fixing code and configuration. Advancing multi-step reasoning, orchestration, context management, memory, and reinforcement learning. Evaluation: Making sure agents work well and informing how we improve. Partnering with platform to build evaluation methodology, generate synthetic data, analyze historical incidents, and model the domain.

## About Antimetal

[Antimetal](http://antimetal.com) is building the[future of infrastructure management](https://blog.antimetal.com/p/the-future-of-infrastructure-is-invisible). We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products.

What You’ll Do:

- Experiment, Evaluate, Iterate, Ship: Run experiments across our research areas, analyze results, validate what works, and take successful approaches to production.
- Build Evaluation Infrastructure: Partner with platform on live and offline evaluation pipelines, benchmarks, and synthetic data generation. Build the tooling that lets the team measure progress and iterate with confidence.
- Explore Research Directions: Apply and develop techniques from best-in-class AI Agents, ML, and SRE research to our problem domain. Experiment with new approaches to reasoning, retrieval, codebase mapping, and agent architectures.
- Collaborate Across Teams: Work with platform and product to integrate capabilities and productionize prototypes into scalable and reliable services.

What you bring:

- 4+ years of experience in applied ML, research engineering, preferably at a company shipping production AI systems
- Production experience contributing to agentic/LLM systems, including multi-step reasoning, reinforcement learning, fine-tuning, and orchestration.
- Proven experience bringing work from prototype to production, using data and experimentation to drive product and architectural decisions
- Strong on ML fundamentals: statistical modeling, probabilistic methods, time-series analysis, evaluation methodology.
- Real world expertise in one area of applied ML: search, statistical modeling, NLP, etc.
- Experience constructing and running end-to-end evaluation pipelines with real world data.
- Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools.
- Strong problem-solving skills, with a focus on creating highly maintainable, scalable code.
- Comfortable with ambiguity and iterative development, prototyping, and adapting quickly to feedback.

Bonus:

- Exposure to interpretability, robustness, or AI safety research.
- Experience with multimodal models (text + images, logs, or other data types).
- Track record of contributions to ML research (open-source repos, papers, workshops).
- Strong foundations in statistics, optimization, or experimental design.
- Experience deploying research models into production environments.

Who you are:

- Identify as a builder.
- Are excited to work in-person from our new and spacious office in New York.
- Love working in a startup environment (experience in a startup or obsession with going zero-to-one).
- Enjoy working with people who are ambitious, caring, and think in systems.
- Thrive in a fast-paced iterative environment where experimentation is essential.

What we bring:

- Pay & ownership — Competitive salary with generous equity grants.
- Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.
- Unlimited PTO — Take the time you need to recharge.
- Dinner on late nights — Working late? Dinner is on us.
- Fitness stipend — Monthly support for your health and wellness.
- Tools of the trade — Any equipment you need to do your best work.
- Commute perks — Citi Bike + train benefits.

Interview process

- Application Review – Send us your stuff, and a quick note on why you're excited.
- Intro Chat: Share what you're looking for next and learn more about what we're building.
- Founder Interview: Talk with one of our founders in more detail about the role
- Technical Interview: We’ll have you complete a short exercise specific to the role.
- Onsite: Come onsite and meet the team through a series of 1:1 interviews.
- Decision – We’ll move fast.

## About Antimetal

## Company Overview
- **One-liner**: Antimetal builds an autonomous system for production that continuously investigates, fixes, and prevents issues by connecting observability, infrastructure, and code.
- **Entity Type**: Private (Series A, July 2025)
- **Headquarters**: New York, New York, United States
- **Founded**: 2023 (first funding round May 2023)
- **Founders**: Matthew Parkhurst (CEO) and Shreyas Iyer (CTO)

## Core Business
- **Primary industry**: Production infrastructure / Site Reliability Engineering (SRE) / DevOps automation
- **Target customers**: B2B – engineering teams at companies that run complex production environments
- **Mission**: “Production that runs itself” – automate everything that happens after you deploy, so teams can focus on building

## Products & Services
- **Antimetal Platform** – An autonomous layer that sits on top of existing observability tools (Datadog, Grafana, etc.) and code repositories.
    - **World Model** – Continuously evolving model of the production environment, linking deployments, metrics, alerts, and changes.
    - **Agents** – Specialized agents (Triage, Patrol, Agent Builder) that diagnose issues, propose fixes, open PRs, and run operational workflows autonomously.
    - **Patrol** – Continuously watches for operational risks, regressions, and system drift.
    - **Agent Builder** – Allows teams to create custom operational agents via natural language.
- **Integrations** – 92+ integrations with cloud platforms, CI/CD, observability, and incident management tools.
- **MCP (Model Context Protocol)** – Connect to Antimetal from Claude Code, Cursor, VS Code, and other AI tools.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total Funding $24.3M (Seed $4.3M led by Framework Ventures, Series A $20M led by Sound Ventures, both in 2023-2025)
- **Notable Investors/Partners**: Sound Ventures, Buckley Ventures, Nat Friedman, Daniel Gross, Aravind Srinivas (Perplexity CEO), Naval Ravikant, and many others
- **Growth Signals**:
    - Headcount grew from ~7 to 18 in the past year (+91.7% YoY)
    - In a test, Antimetal autonomously resolved 76% of errors without human intervention
    - SOC 2 Type II, GDPR, and HIPAA compliant
    - Strong LinkedIn growth: 6,148 followers (+51.4% YoY)

## Competitive Advantages
- **Autonomous operation** – Not just recommendations; Antimetal can investigate, fix, and prevent issues end-to-end, routing changes through existing approval flows.
- **Persistent world model** – Provides continuously updated operational context that improves over time, unlike coding agents limited to a single context window.
- **Specialized, composable agents** – Triage, Patrol, and custom agents can be mixed and matched.
- **Built for security and compliance** – SOC 2, GDPR, HIPAA certified from the start.

## Strategic Focus
- Expanding the agent ecosystem (Agent Builder) so teams can create custom operational behaviors.
- Deepening integrations to cover more of the “stack” (observability, infrastructure, CI/CD, code).
- Scaling the autonomous layer to handle larger, more complex production environments.

## Why Work Here
- **Engineering culture**: On-site in NYC (all current open roles are NYC-based). Emphasis on “rockstars who love working like farmers” – hands-on, high autonomy.
- **Compensation**: Open engineering roles $200K–$300K + equity.
- **Team**: 4 open engineering roles (Product Engineer, Platform Engineer, Research Engineer) plus roles in Growth and Design.
- **Growth trajectory**: Rapidly scaling startup with strong investor backing and clear product-market fit.
- **Environment**: Flat, founder-led team; focus on building a product that removes toil from production engineering.

## Sources
1. [antimetal.com](https://antimetal.com/)
2. [antimetal.com/careers](https://antimetal.com/careers)
3. [linkedin.com/company/antimetal](https://www.linkedin.com/company/antimetal)
4. [docs.antimetal.com](https://docs.antimetal.com/)

## Other roles at Antimetal

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