Machine Learning Engineer - Fine Tuning

REQUIREMENTS

Bachelor’s degree in Computer Science, Engineering, or related field

3+ years of experience in ML engineering with focus on model training and fine-tuning

Experience with advanced fine-tuning frameworks such as Axolotl, Unsloth, Transformers, TRL, PyTorch Lightning, or Torch Tune, enabling efficient model adaptation and optimization

Hands-on experience fine-tuning or pre-training LLMs or other foundation models

Excellent communication skills for explaining complex concepts to varied audiences

NICE TO HAVE

Experience working with customers to deliver technical solutions

Track record of delivering ML projects to enterprise customers

Knowledge of distributed training systems and efficiency optimization techniques

Experience with advanced alignment and adaptation techniques including RLHF, DPO, constitutional AI, prompt tuning, reinforcement learning with execution feedback, PPO, or other emerging alignment methods

Knowledge of prompt engineering and domain adaptation methods

Contributions to open-source fine-tuning projects or tools

Experience building user-friendly interfaces for fine-tuning workflows

Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies

Competitive compensation package.

This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.

An inclusive and supportive work culture that fosters learning and growth.

Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.