About this opportunity
DeepRec.ai lists this Machine Learning Engineer (LLM) opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Machine Learning Engineer (LLM)
Compensation: $170,000 - $200,000+ (DOE)
Location: Boston or Berkeley, flexible 2-3 days per week in office
We’re working a fast‑growing AI company on a mission to automate complex workflows in the financial services sector, starting with insurance. Their technology leverages cutting‑edge AI to simplify high‑value processes, from multi‑turn conversations to full workflow automation.
As an ML Engineer within LLMs, you’ll be building and scaling advanced AI systems that power intelligent, multi‑agent workflows. You’ll take ownership of designing, fine‑tuning, and productionizing large language models, integrating them with backend systems, and optimizing their performance. You’ll collaborate closely with data science, DevOps, and leadership to shape the AI infrastructure that drives the company’s automation solutions.
What You’ll Do
Build, fine‑tune, and productionize large language model (LLM) pipelines, including PEFT, RLHF, and DPO workflows.
Develop APIs, data pipelines, and orchestration systems for multi‑agent, multi‑turn AI conversations.
Integrate models with backend services, including voice orchestration platforms and transcript generation.
Optimize model usage and efficiency, transitioning from external APIs to in‑house solutions.
Collaborate cross‑functionally with data scientists, DevOps, and leadership to deliver scalable machine learning solutions.
What We’re Looking For
Essential Skills & Experience
Strong proficiency in Python and ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch).
Hands‑on experience fine‑tuning and training LLMs.
Experience with PEFT, DPO, Prefence Optimization, post‑training, supervised fine tuning, RLHF.
Familiarity with AWS suite and deploying ML models to production.
Ability to reason deeply about ML principles, architectures, and design choices.
Knowledge of multi‑agent orchestration and conversational AI systems.
Desirable Skills & Experience
Background in voice AI, speech‑to‑text, or text‑to‑speech systems.
Exposure to financial services or insurance applications.
Familiarity with optimizing models for long‑context scenarios.
For additional information or to apply, please get in touch or apply directly.
Seniority level
Not Applicable
Employment type
Full‑time
Job function
Information Technology
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.