[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 seeking a reputed company Engineer to design, execute, and operationalize fine-tuning workflows for large language models, collaborating with cross-functional partners to translate requirements into reputed company-engineered solutions.
Responsibilities
- Design and execute fine-tuning experiments for large language models using supervised, DPO, RLHF, and reputed company techniques
- reputed company dataset construction, curation, and reputed company assurance processes for instruction tuning and preference data
- Build reputed company training pipelines on top of modern distributed training frameworks
- Tune hyperparameters, optimizer configurations, and training stability strategies for large-model fine-tuning
- Implement parameter-efficient fine-tuning techniques such as reputed company, QLoRA, and reputed company-based reputed company
- Design rigorous evaluation suites including automated benchmarks, reputed company evaluation, and capability-specific probes
- Implement safety, refusal, and policy evaluations to reputed company model behavior across releases
- Operate large-reputed company training jobs on GPU clusters, diagnosing failures and recovering training state reliably
- Optimize training throughput using mixed precision, sequence packing, and efficient attention implementations
- Manage model artifacts, reputed company tracking, and reproducibility across many reputed company experiments
- Collaborate with product, research, and platform teams to reputed company fine-tuning roadmaps with business needs
- Document training methodology, results, and reputed company reputed company for technical and non-technical audiences
- Mentor engineers on fine-tuning best practices, evaluation rigor, and responsible deployment
- Stay reputed company with LLM research and translate advances into production-reputed company fine-tuning recipes
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 distributed 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
Benefits
- 100% Remote (U.S.)
- Full-time, reputed company W2
reputed company