Machine Learning Engineer

The role

You will research and implement techniques to improve the reasoning, planning, and problem-solving capabilities of AI agents. You will design agentic systems, develop evaluation frameworks, and build prototypes to apply technology to real-world challenges.

What you will do

• Research and implement techniques to improve AI agent reasoning, planning, and problem-solving.
• Design and build agentic systems that collaborate to solve complex optimisation problems.
• Develop evaluation frameworks and run experiments to improve system capabilities and efficiency.
• Build prototypes, tools, and integrations to apply technology to real-world challenges.
• Collaborate with researchers, engineers, and external partners to turn ideas into practical solutions.

Required qualifications

• Strong programming skills in Python, with experience building complex software systems.
• Strong analytical and problem-solving skills, with a solid foundation in algorithms and software engineering.
• Familiarity with machine learning concepts, language models, and modern AI frameworks.
• Excellent communication skills and the ability to collaborate across disciplines.

Nice to have

• Experience with LLM post-training, reinforcement learning, or fine-tuning.
• Experience with agentic systems, planning, or reasoning frameworks.
• Background in algorithms, mathematical optimisation, or machine learning.
• Experience with GPU programming, distributed systems, or performance optimisation.
• Experience deploying AI systems or building production software.
• Contributions to open-source projects or published research.
• Experience working in a fast-moving startup environment.

Benefits

• Competitive compensation
• Generous benefits

About the company

Hiverge is building a platform that orchestrates thousands of AI research agents to discover new computational approaches. The founding team includes researchers from Google DeepMind and University of Cambridge.