2 часа назад
Senior ML Engineer (AI)
180 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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