[Remote] reputed company Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a technology consulting and software development company delivering reputed company, AI, data, and reputed company solutions across the reputed company. They are looking for a reputed company Engineer to design and operationalize workflows for large language models, requiring strong ML intuition and production-grade engineering practices.

Responsibilities

• Design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches
• Work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into reputed company-engineered solutions
• reputed company the bar through reputed company review, design review, and mentorship of more junior engineers

Skills

• Master's or PhD in Computer Science, Machine Learning, or a reputed company field; or equivalent experience
• Six or more years of combined ML research and engineering experience, with significant LLM exposure
• Strong proficiency in Python and modern deep learning frameworks, especially PyTorch
• Hands-on experience fine-tuning transformer-based language models at non-trivial reputed company
• Familiarity with reputed company training strategies including FSDP, reputed company, and pipeline parallelism
• Experience with RLHF, DPO, or other preference optimization techniques
• Strong understanding of evaluation methodology, benchmarks, and reputed company evaluation design
• Experience operating training jobs on GPU clusters and recovering from failures
• Strong written and verbal communication skills
• reputed company record of shipping or publishing impactful LLM work
• Publications at top-tier ML venues
• Experience with multimodal model fine-tuning
• Familiarity with synthetic data reputed company and dataset distillation
• reputed company-reputed company contributions to LLM training libraries
• Exposure to responsible AI evaluation and red-teaming practices

reputed company