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Job Description

A Senior Machine Learning Engineer role in Boston (hybrid) focused on designing scalable AI platforms and production-ready autonomous, agent-based systems.

Responsibilities

  • Highly hands-on engineering role driving day-to-day ML and AI development
  • Create, productionize, and maintain advanced AI and ML capabilities for enterprise research applications
  • Architect and improve distributed machine learning services and other scalable platform components
  • Build agentic applications, semantic retrieval pipelines, and orchestration frameworks that support them
  • Collaborate with software, platform, and security teams to deliver AI systems that are dependable, secure, and high-performing

Requirements

  • Deep knowledge of machine learning systems and autonomous agent design
  • Hands-on experience building LLM applications and retrieval-augmented generation (RAG) solutions
  • Practical experience working with vector search technologies and vector data stores
  • Familiarity with production ML operations, including monitoring and deployment practices
  • Strong Python development skills
  • Working knowledge of AWS infrastructure and Kubernetes environments

Key Technologies

  • Python
  • AWS
  • Kubernetes
  • Vector search technologies and vector data stores
  • LLM applications
  • Retrieval-augmented generation (RAG)
  • Large language model applications

Education

  • Bachelor’s degree or higher in computer science, engineering, data science, or a related discipline

Benefits

  • Comprehensive medical coverage
  • Dental insurance
  • Vision insurance
  • Paid vacation and personal time
  • 401(k) retirement plan with employer match, where offered
  • Performance-based bonus eligibility

Preferred Background

  • Experience building software for legal technology, compliance, financial services, or another regulated domain
  • At least 12 years of software engineering experience, or 8 or more years combined with a PhD

Location & Work Authorization

  • Boston, MA (hybrid schedule)
  • Candidates must be authorized to work full-time in the United States both now and in the future

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