Forward Deployed Engineer LLM Post-training
Reflection is an AI research lab building open frontier models and a full AI stack for developers, enterprises, and public-sector users.
Funding history
About Reflection
Reflection develops open-weight AI models, open-source software for customizing and running agents, AI-factory infrastructure, and related solutions. Its current research emphasizes large language models, reinforcement learning, and agentic reasoning.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will prepare customer datasets, run language-model fine-tuning workflows, build evaluation infrastructure, and diagnose training issues. You will deploy adapted models across hybrid environments and translate customer requirements into training strategies.
Requirements
- Applied ML experience fine-tuning language models
- Familiarity with SFT, DPO, RLHF, or similar techniques
- Understanding of evaluation methodology and training graphs
- Experience with GPUs, compute management, and training debugging
- Software engineering fundamentals in Python
- Experience with data pipelines and version control for datasets and experiments
- 3+ years of engineering experience with applied ML or ML engineering
- Customer-facing experience translating domain requirements into training strategies
Responsibilities
- Fine-tune open-weight models for customer-specific use cases
- Prepare datasets and configure training runs
- Build and maintain evaluation infrastructure
- Prepare, clean, format, and pipeline customer training data
- Debug training and inference issues
- Support deployments of fine-tuned models across hybrid environments
- Contribute to fine-tuning and evaluation playbooks and benchmarks
Benefits
- Stock options
- Comprehensive medical, dental, vision, and life insurance
- Annual wellness allowance
- Daily office lunch and dinner
- 22 weeks of paid parental leave
- Unlimited paid time off in the U.S.
- 30 days of vacation in the U.K.
- Visa sponsorship support
- Regular off-sites, happy hours, and team celebrations