Manager, Lead Research Scientist, LLM Agents (Foundational Research)
United Kingdom, London
R
GBP 74K-109K (estimate) Senior-level Full Time
Tasks
- Build tool use and API calling agents
- Code and test machine learning models
- Collaborate with global research teams
- Conduct adversarial testing and red teaming
- Design and run experiments
- Develop agent based AI and LLM agent systems
- Develop data centric machine learning methods
- Evaluate models with benchmarks and human in the loop
- Implement post training reasoning and workflow methods
- Lead foundational machine learning research
- Plan hiring and manage research teams
- Present results at conferences and seminars
- Publish research findings
- Train large language models
Perks/Benefits
- ESG initiatives
- Employee incentive programs
- Flexible vacation
- Flexible work arrangements
- Headspace app access
- Hybrid work model
- Learning and development
- Mental health days
- On-the-job coaching
- Paid volunteer days off annually
- Pro bono consulting opportunities
- Retirement savings
- Tuition reimbursement
- Work from anywhere up to 8 weeks per year
Skills/Tech-stack
API Integration | Adversarial Testing | Agent systems | Amazon AWS | Benchmarking | Chain-of-Thought | Cloud Computing | Continued Pretraining | Curriculum learning | Data Curation | Deep learning | Distributed Training | Efficient machine learning | Evaluation | Google Cloud | Hallucination detection | Human-in-the-loop | Instruction Tuning | JAX | Knowledge graphs | LLM Training | Language Models | Language Processing | Large Language Models | Machine Learning | Microsoft Azure | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | PyTorch | Python | Reasoning models | Red Teaming | Reinforcement Learning | Synthetic data | TensorFlow | Test Time | Test-time compute | The Loop | Tool use
Education
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