Cusp.AI

8 months ago

Applied AI/ML Engineer (Agents)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Design and build agentic AI systems to orchestrate autonomous materials discovery, connecting ML models, simulations, and experimental workflows. You will develop multi-stage pipelines, enable long-running campaigns, and collaborate with chemists and materials scientists to translate research into production-ready solutions that accelerate sustainable material breakthroughs.

Location: Amsterdam, London, Berlin, Cambridge

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design the agentic framework that powers our platform to discover new materials, spanning 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

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityLearning BudgetParential LeaveRemote Work

Key Requirements

•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 (testing, modular design, CI/CD, and scalable ML operations)
•PhD or Masters degree and 4-5 years industry experience preferred
•Proactive builder mindset with a bias toward shipping and iteration
•Willingness to learn about materials science and experimental chemistry, to interact effectively with stakeholders

Experience:AIMLMaterials scienceChemistryProduction ML systems

Education:PhD / Doctorate

Skills:CommunicationCollaborationProblem-solvingAdaptabilityLeadership

Tech Stack:PyTorchJAXPythonCI/CDLLMBayesian optimizationProduction ML ops

Company Brief

Cusp.AI

CuspAI builds AI foundation models and simulation tools to accelerate discovery and design of novel materials for applications like batteries, semiconductors, water treatment, and carbon capture, combining generative models with physics-based simulation.

Industry: Materials Science

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Valuation: USD 500M to 1B

Funding: Series A

Headquarters: Cambridge, United Kingdom

Founded: 2024

Website LinkedIn Glassdoor

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Cusp.AI

8 months ago

Applied AI/ML Engineer (Agents)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Amsterdam, London, Berlin, Cambridge

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design the agentic framework that powers our platform to discover new materials, spanning 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

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityLearning BudgetParential LeaveRemote Work

Key Requirements

•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 (testing, modular design, CI/CD, and scalable ML operations)
•PhD or Masters degree and 4-5 years industry experience preferred
•Proactive builder mindset with a bias toward shipping and iteration
•Willingness to learn about materials science and experimental chemistry, to interact effectively with stakeholders

Experience:AIMLMaterials scienceChemistryProduction ML systems

Education:PhD / Doctorate

Skills:CommunicationCollaborationProblem-solvingAdaptabilityLeadership

Tech Stack:PyTorchJAXPythonCI/CDLLMBayesian optimizationProduction ML ops

Company Brief

Cusp.AI

Industry: Materials Science

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Valuation: USD 500M to 1B

Funding: Series A

Headquarters: Cambridge, United Kingdom

Founded: 2024

Website LinkedIn Glassdoor