[Remote] reputed company Model 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. The reputed company Model Engineer will design and operationalize workflows for fine-tuning large language models while collaborating with cross-functional teams to translate requirements into 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

• reputed company is an information technology company that offers software development, AI, and cybersecurity services. It was founded in 2020, and is headquartered in Bridgewater, New Jersey, USA, with a workforce of 51-200 employees. Its website is https://bvteck.com.

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