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2 часа назад

Senior ML Engineer (AI)

180 000 - 190 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior ML Engineer (AI/LLM): Building and shipping production machine learning systems for AI voice agents and intelligent healthcare workflow automation with an accent on LLM fine-tuning, RLHF alignment, inference optimization, and RAG pipelines. Focus on designing distributed training and evaluation workflows, serving models reliably at scale, and balancing latency, cost, throughput, and model capability.

Location: Remote within the United States, with listed locations in Centennial, Colorado and Dania Beach, Florida.

Salary: $180,000–$190,000 per year.

Company

hirify.global provides an AI communications platform for healthcare organizations, including AI voice agents and intelligent workflow automation.

What you will do

  • Design and maintain end-to-end ML training, evaluation, and deployment pipelines.
  • Fine-tune and align large language models using LoRA, QLoRA, PEFT, DPO, PPO, and GRPO.
  • Host, serve, and optimize LLMs in production with frameworks such as vLLM, TGI, Triton, and ONNX Runtime.
  • Build embedding, vector search, RAG, semantic search, and Model Context Protocol integrations for AI agents.
  • Develop data-quality, model-evaluation, benchmarking, A/B testing, and regression-tracking frameworks.
  • Collaborate with software engineers to integrate observable, versioned ML services into product features through FastAPI.

Requirements

  • Bachelor’s degree in computer science or statistics.
  • 3–8+ years of hands-on ML engineering experience with a strong production track record.
  • Strong knowledge of neural networks, transformers, attention mechanisms, optimization, regularization, and model evaluation.
  • Production experience with LLM fine-tuning, Hugging Face Transformers, TRL or Axolotl, RLHF, PPO, GRPO, model quantization, batching, and throughput optimization.
  • Experience with LLM serving, inference providers, embedding models, vector search infrastructure, RAG pipelines, and MCP.
  • Must be authorized to work for any employer in the United States; visa sponsorship is not available.

Nice to have

  • Experience with DeepSpeed, FSDP, or Megatron-LM for distributed training.
  • Familiarity with MLflow, Weights & Biases, DVC, or similar MLOps tools.
  • Knowledge of synthetic data generation and exposure to multimodal, voice, or speech AI systems.
  • Open-source ML contributions or published research and technical writing.

Culture & Benefits

  • Unlimited vacation for exempt employees and paid holidays.
  • Medical, dental, and vision insurance, plus health and flexible savings accounts.
  • 401(k), stock options, company-paid life insurance, and paid parental leave.
  • Tuition reimbursement, employee assistance program, and reimbursements for cell phone, gym, and internet expenses.
  • Virtual and in-person events, with snacks available in Denver and Fort Lauderdale.

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