Senior Machine Learning Engineer

Motion Recruitment is hiring a Senior Machine Learning Engineer for a Boston-based hybrid team. In this hands-on role, you will help shape scalable AI platforms and advanced agent-based systems, with an emphasis on production-ready autonomous workflows and LLM and retrieval-augmented generation (RAG) capabilities for enterprise products.

Working within a cross-functional engineering environment, you will design and evolve machine learning services and platform components that support reliable, secure AI in production.

What you’ll do

• Operate in a highly hands-on engineering capacity across AI and ML development
• Create, productionize, and maintain sophisticated AI and ML capabilities for enterprise research applications
• Architect and enhance distributed machine learning services and 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

Skills and qualifications

• Deep knowledge of machine learning systems and autonomous agent design
• Hands-on experience building LLM applications and retrieval-augmented generation solutions
• Practical experience 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

Technologies

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

Education and experience

• Minimum experience: 8 years
• Education: Bachelor’s degree or higher in computer science, engineering, data science, or a related discipline
• Preferred background: experience delivering software for legal technology, compliance, financial services, or another regulated domain
• Preferred experience: at least 12 years of software engineering experience, or 8 or more years combined with a PhD

Compensation and 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

Location and work authorization

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