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Senior Large Language Model

2 months ago

UK, UK, United Kingdom Foxy Full time

# Senior Large Language Model (LLM) Engineer


## Your Tasks

We are looking for an experienced and driven Large Language Model (LLM) Engineer to join our dynamic, fully remote international team.


Your primary focus will be on building datasets and training open-source LLMs (Llama, Mistral, etc.) to provide highly realistic, immersive chat experiences, and assist with their deployment at scale to production. You may additionally work on special-purpose ML models and their deployment, in support of our production LLMs and AI imaging systems.


## Our Tools & Methodologies

- Open source LLMs: Llama 3; Mistral; others

- Code: Python 3.10+, with typing; HF Transformers, HF Datasets, Pydantic, PyTorch, NumPy

- Infrastructure: Linux; Docker; AWS; Kubernetes; general cloud GPU providers

- LLM training: Axolotl

- LLM inference: Hugging Face Text Generation Inference (TGI)

- Tools: GitHub

- Ways of Working: Asynchronous text-based communication (Slack) with regular voice/video meetings; 100% remote.


## Your Profile

- Communication: High-quality written English communication and comprehension skills.

- Experience: Minimum 1 year of experience with training open-source LLMs for custom use-cases.

- Ideally: experience of training chat-based/conversational LLMs with an emphasis on highest-quality character realism and best user experience.

- Ideally: experience of training LLMs for adult/NSFW content.

- Open-source LLM: good knowledge of the open-source LLM scene, and up-to-date with current trends in best performing models and practices.

- Good familiarity with the latest models, both foundational and community fine-tunings.

- LLM training: Very experienced with SFT and LORA/qLORA. Some experience with DPO/ORPO/RLHF and other advanced training methods.

- Ideally: experience with, and good understanding of, the Axolotl LLM training framework.

- Dataset creation: Experienced with building, curating and managing datasets for LLM training.

- Especially: experience of using top-quality LLMs (eg GPT-4) for building a dataset to train a smaller open-source LLM, achieving that same quality on a specific task.

- Coding: Good knowledge of Python 3.x, ideally with typing.

- Capable of producing high-quality, zero-error code following Python best practices.

- Ideally: a good understanding of Python typing, plus data validation (Pydantic).

- Python libraries: good familiarity with HF Transformers and HF Datasets.

- Ideally: Experienced with PyTorch, NumPy, Pandas.

- Inference: Ideally experience of LLM inference in production at scale, using inference servers such as HF TGI and/or vLLM.

- ML: Ideally experience of general ML development and training; building custom models to solve specific tasks with an emphasis on being resource-efficient and low-latency.

- Ideally: training both LLMs and Zero-shot learners, lightweight LLMs, CPU code optimization, quantization, code benchmarking, using alpaca-eval metrics to derive / evaluate LLMs.

- Availability: Within the CET/CEST timezone.


## What We Offer

- Impact: A crucial role in building cutting-edge, highly realistic AI characters using open-source LLMs.

- Growth: Opportunities for continuous learning, regular challenges, and knowledge exchange to enhance your skills.

- Culture: A fully remote, flexible, environment in a dynamic, fast-growing company.

- Team: Work with a world-class, ambitious, and supportive team.

- Engagement: Participate in team and company events, as well as regular get-togethers (our last one was in Prague)

- Reward: Competitive package consisting of salary and equity including stock options so that you can share the successes that lie ahead.


If you are ready for a new challenge and believe you have the skills and experience we are looking for, we would love to hear from you.