Join to apply for the Machine Learning Engineer - Fine Tuning, Mid-Level role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer - Fine Tuning, Mid-Level role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: AI Fund is a company that provides the infrastructure and tooling necessary to bring AI products to market efficiently. They are seeking a Machine Learning Engineer specializing in Fine-Tuning to create value for customers by fine-tuning large language models and other modalities while working directly with clients to achieve their specific goals. Responsibilities: • Design comprehensive fine-tuning strategies that translate customer requirements into effective technical approaches—finding the optimal combination of data preparation, training techniques, and evaluation methods to deliver solutions that precisely address customer needs • Develop tools to enable non-ML experts to fine-tune models effectively • Design and implement scalable fine-tuning pipelines for large language models and other AI modalities • Work directly with customers to understand requirements and guide technical implementation • Serve as the technical point of contact for customers throughout their fine-tuning journey • Build systems for efficient data preparation, evaluation, and deployment of fine-tuned models • Research and apply cutting-edge techniques in instruction tuning and model customization • Create frameworks to evaluate fine-tuned model performance against base models • Implement best-in-class distributed training techniques like FSDP and DDP across various hardware configurations Qualifications: Required: • 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 Preferred: • 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 Company: AI Fund is a VC firm made up of AI pioneers, operators, entrepreneurs, and investors, supported by LPs such as NEA, Sequoia and Greylock. Founded in 2017, the company is headquartered in Palo Alto, California, USA, with a team of 11-50 employees. The company is currently Early Stage. AI Fund has a track record of offering H1B sponsorships. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Engineer” roles. 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