Machine Learning Research Engineer (Finetuning)

Join Our Team as a Machine Learning Research Engineer: Specializing in FinetuningWhat We're Building:Our focus is on partnering with commercial clients to fine-tune our cutting-edge AI models for their unique business needs. With a proven track record in developing and deploying state-of-the-art models in our consumer-facing chatbot, we are well-equipped with the resources and infrastructure to excel in finetuning. Join us, and you’ll play a key role in shaping AI solutions that are both innovative and impactful.About the Role:As a Member of Technical Staff, Research Engineer specializing in finetuning, you’ll be at the forefront of adapting advanced AI models to meet the specific requirements of our enterprise partners. Your responsibilities will include collecting and curating datasets, experimenting with cutting-edge finetuning techniques, and ensuring that our models are safe, effective, and reliable for deployment. Your expertise in finetuning will be essential in tailoring our AI solutions to diverse use cases, driving success across various industries.This Role is Ideal for You If You:Have hands-on experience with finetuning and evaluating large language models (LLMs), whether working with in-house models or through APIs.Thrive in a fast-paced environment and are adaptable to evolving technical requirements.Are skilled in operating large compute clusters, utilizing tools like Slurm.Possess a strong understanding of modern machine learning techniques, including transformer architectures, RLHF, and DPO, with proficiency in PyTorch.Bonus: Knowledge of SQL and data tools like Snowflake, Dagster, and Airbyte, though not required.Why Join Us?Ownership & Excellence:

We believe in the power of individual contributions. Here, you’ll have the autonomy to lead projects and make impactful decisions.Collaborative Culture:

Our team thrives on teamwork, mutual respect, and a shared commitment to excellence. We encourage open dialogue and constructive challenges.Continuous Feedback:

User feedback drives our AI development process, and the same philosophy applies to our internal culture. Transparency and accountability are key.Work-Life Balance:

We value your well-being and offer unlimited paid time off, flexible parental leave, and a supportive work environment.Diversity & Inclusion:We are dedicated to creating AI solutions that serve everyone. We welcome candidates from all backgrounds and are committed to building a diverse and inclusive team.If you’re passionate about finetuning AI models and want to be part of a team that values innovation and collaboration, we’d love to hear from you! Apply today and showcase your best work, whether through open source contributions, personal projects, or a cover letter highlighting your proudest achievements.

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