---
title: 'Applied AI/ML Engineer (Agents) at CuspAI'
canonical: 'https://feeny.ai/job/applied-ai-ml-engineer-agents-cuspai-amsterdam-j0mk0xedxhmf'
type: 'job'
last_seen: '2026-09-11'
---

# Applied AI/ML Engineer (Agents) at CuspAI

- **Company:** CuspAI
- **Location:** Amsterdam, Netherlands
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/cuspai/916e1489-6624-4a87-90e6-218dc7ebb6fb/application

**Skills:** PyTorch, JAX, ML ecosystem, Software engineering, Testing, Modular design, CI/CD, Scalable ML operations, LLM-assisted programming, Materials science, Chemistry, Drug discovery, Agentic frameworks, LLM-powered applications, Sequential decision-making, Bayesian optimization, Active learning, Bandits, Reinforcement learning, Planning models

> Design and build intelligent agents for an autonomous materials discovery engine, orchestrating complex scientific workflows and experimental campaigns. The role involves developing agentic frameworks, integrating ML models with simulation engines, and collaborating with chemists to accelerate materials discovery.

## Job description

## About CuspAI

CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.

We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.

We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.

We’re on the cusp of the on-demand materials era. Join us.

## The Role

Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents that power our autonomous materials discovery engine.

## Your Impact

You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations, and driving experimental campaigns to find breakthrough materials faster than ever before.

Your work will directly accelerate CuspAI’s path to finding solutions for global sustainability challenges.

## What You Will Do

Agentic systems

- Design the agentic framework that powers our platform to discover new materials. This includes spanning dynamic, multi-stage simulation workflows from literature-grounded hypothesis generation through to computational and experimental validation
- Build the integration that connects agents to ML models, simulation engines, databases, and heterogeneous compute backends
- Design pipelines that let agents autonomously plan, schedule, execute, and interpret computational tasks at scale and over long periods of time
- Use expert annotations from the Chemistry team to drive targeted improvements in agent planning, retrieval, and decision-making
- Create evaluations to measure the effectiveness of agents

Experimental design

- Build agents that perform experimental design — applying Bayesian optimization, active learning, or related sequential decision-making methods to decide what to compute or measure next, and to balance exploration and exploitation across long-running discovery campaigns
- Help close the loop between simulation and physical experiments so that outcomes become durable knowledge — feeding back into what agents know and how their models reason — compounding across campaigns.
- Develop strategies for multi-fidelity and multi-objective decision-making, where agents must trade off cost, time, and uncertainty across simulations and physical experiments

Interdisciplinary Collaboration

- Work closely with Chemists, Materials Scientists, and the rest of the Agent team to co-develop our core orchestration intelligence
- Work on customer projects and implement the direct needs required for these projects

Must Have Skills and Qualifications:

- You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is building.
- Proficiency in the modern ML ecosystem such as PyTorch or JAX, with experience taking ML-driven systems from prototype to production
- Strong software engineering skills (building systems at scale in a production environment): testing, modular design, CI/CD, and scalable ML operations in production environments
- If you have a PhD or Masters degree and 4-5 yrs industry experience this would be ideal, but we will also consider you if you have a PhD and slightly less experience in industry
- You have a proactive builder mentality with a bias toward shipping and iteration
- Willingness to learn about materials science, and in particular experimental chemistry - to learn the vocabulary of the discipline to meaningfully interact with other stakeholders
- Experienced in LLM-assisted programming, knowing its strengths and weaknesses thoroughly.

Bonus Points (But Not Critical):

- Experience applying ML models specifically for materials science, chemistry, or drug discovery applications
- Experience with agentic frameworks and building LLM-powered applications
- Experience with sequential decision-making methods — Bayesian optimization, active learning, bandits, or reinforcement learning — applied to real-world systems
- Advanced agentic-reasoning techniques: planning models, self-improving systems, multi-tool agents, or RLHF/RLAIF workflows

Additional Considerations This role could be based in our Cambridge, London, Amsterdam or Berlin offices, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to our other offices for collaboration and project oversight.

Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.

## What We Offer

- A competitive salary: We value and reward impact and growth
- Equity in CuspAI: You have a stake in the success of the company
- Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
- ‘Gold Standard’ parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
- Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
- Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
- True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other

Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.

CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.

We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.

Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.

## About CuspAI

## Company Overview
- **One-liner**: CuspAI develops an AI-driven platform to discover and optimize advanced materials for industrial and scientific applications, aiming to compress billion-year natural processes into months.
- **Entity Type**: Private (Series A / multiple venture rounds)
- **Headquarters**: Cambridge, United Kingdom (20 Station Road, Cambridge, CB1 2JD)
- **Founded**: 2024
- **Founders**: Dr Chad Edwards (CEO) and Prof. Max Welling (CTO)

## Core Business
- Primary industries: Advanced materials, artificial intelligence, chemistry, engineering
- Target customers: B2B – Enterprise R&D teams in semiconductors, automotive, energy, chemicals, and high-tech manufacturing (e.g. ASML, Meta, Hyundai, Kemira)
- Mission: “Unlock trillion‑dollar materials breakthroughs in months, not millennia” by using AI to create an on‑demand materials era.

## Products & Services
- **Molecular search engine / AI materials discovery platform**: An AI model that screens and generates novel molecules with desired properties (conductivity, strength, heat resistance) and validates them through simulation. The platform is 10× faster than conventional methods. Integrated with Widom insertion simulations (open‑source package `widom`).

## Market Standing
- **Valuation**: ~$2.6 billion (according to Financial Times reports in June 2026, citing a new $400 million funding round backed by Jeff Bezos)
- **Key Metric (Total Funding)**: Conflicting reports – LinkedIn shows $330 million to date (Seed $30M, Series A $100M, Venture Round $200M); CB Insights lists $130 million raised (excluding the latest $200M+ round). The most recent round (June 2026) is reportedly $400 million at a $2.6 billion valuation.
- **Notable Investors/Partners**: Temasek, Hoxton Ventures, Lightspeed Venture Partners, Giant Ventures, Northzone, NEA, Kleiner Perkins, Bezos Expeditions, Nvidia, Samsung, Hyundai. Advisors include Nobel laureate Geoffrey Hinton and Yann LeCun.
- **Growth Signals**: Headcount of 52 employees (+123.3% YoY, +11.7% monthly growth); 7 active job postings (+600% YoY); offices in Cambridge, Amsterdam, and Singapore; clients like ASML, Meta, Hyundai, and Kemira.

## Competitive Advantages
- **World‑class founding team** – Most cited AI, chemistry, and engineering researchers globally.
- **AI‑native approach** – Proprietary molecular search engine that is 10× faster than conventional materials discovery.
- **Advisory board** – Nobel Prize winners (Geoffrey Hinton) and top AI pioneers (Yann LeCun, Kristin Persson).
- **Talent pipeline** – Many hires from Google DeepMind, Isomorphic Labs, Microsoft, and Imperial College London.
- **Strategic partnerships** – Deep ties with chipmakers (Nvidia, ASML), automotive (Hyundai), and chemical firms (Kemira).

## Strategic Focus
- Scaling the platform to serve more enterprise R&D departments globally.
- Expanding physical presence to Asia (Singapore office for scientific applications).
- Investing heavily in compute capacity at hyperscalers and recruiting top AI/ML engineers.
- Developing autonomous AI agents for materials research.

## Why Work Here
- **Culture & engineering**: Frontier AI research environment with deep roots in academia and big tech (Google DeepMind, Microsoft). Emphasis on agent‑based RL and force‑field simulation.
- **Work policy**: Hybrid – employees work a mix of remote and on‑site (offices in Cambridge, Amsterdam, Singapore, Germany). Typical on‑site time varies by role.
- **Perks & growth**: Competitive compensation (VC‑backed with substantial funding); high autonomy and impact in a fast‑growing company (+123% headcount YoY). Open‑source contributions (GitHub repos `widom` and `tonno`).
- **Talent signals**: Many employees previously at Dassault Systèmes, Isomorphic Labs, Quantinuum, and top universities; alumni go on to MIT, Mistral AI, Black Forest Labs.

## Sources
1. [cusp.ai](https://www.cusp.ai/) – Company website, leadership team, mission statement
2. [linkedin.com](https://www.linkedin.com/company/cusp-ai) – Headcount, financials, talent sources, open positions
3. [cbinsights.com](https://www.cbinsights.com/company/cuspai) – Valuation, funding rounds, news (including FT report)
4. [builtin.com](https://builtin.com/company/cuspai) – Company overview, hybrid policy, office locations
5. [github.com](https://github.com/Cusp-AI) – Open‑source repositories, organization details
6. (FT report cited in CB Insights) – “CuspAI to be valued at £2bn as Jeff Bezos invests”

## Other roles at CuspAI

- [Technical Program Manager (Science)](https://feeny.ai/job/technical-program-manager-science-cuspai-london-1gbwtxe6srq6) — London, United Kingdom
- [Technical Program Manager (AI/ML)](https://feeny.ai/job/technical-program-manager-ai-ml-cuspai-berlin-rwvx6zm2n5j2) — Berlin, Germany
- [Senior Talent Partner (Singapore)](https://feeny.ai/job/senior-talent-partner-singapore-cuspai-singapore-1p1fttk332mc) — Singapore
- [Head of Data](https://feeny.ai/job/head-of-data-cuspai-singapore-6czn2621jer9) — Singapore
- [Scientific Developer Relations Manager](https://feeny.ai/job/scientific-developer-relations-manager-cuspai-london-f3n7tc1w5wnm) — London, United Kingdom
- [MLFF Distillation & GCMC Integration -  Internship](https://feeny.ai/job/mlff-distillation-gcmc-integration-internship-cuspai-london-7hsea26xa7bn) — London, United Kingdom
- [Data Engineer](https://feeny.ai/job/data-engineer-cuspai-london-va127px4k277) — London, United Kingdom
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- [Application Scientist (AI Materials Science), Singapore](https://feeny.ai/job/application-scientist-ai-materials-science-singapore-cuspai-singapore-rcp4rvg183ts) — Singapore