Senior Machine Learning Engineer

Motion Recruitment seeks a Senior Machine Learning Engineer to turn applied AI into secure, scalable production capabilities for a hybrid role in Worcester, Massachusetts.

Responsibilities

• Act as a hands-on engineer across design, implementation, testing, and delivery
• Develop AI-powered features for research, summarization, discovery, and knowledge-based decision making
• Architect distributed machine learning services that operate reliably across a large enterprise product ecosystem
• Build and integrate retrieval pipelines, model services, agent frameworks, and supporting APIs
• Collaborate with application, platform, data, and security teams to meet needs for performance, resilience, privacy, and scale

Requirements

• Demonstrated success delivering machine learning or artificial intelligence systems in production environments
• Practical experience building applications that use LLMs, AI agents, and tool-driven workflows
• Working knowledge of RAG patterns, embedding models, vector stores, and relevance-focused retrieval
• Familiarity with operational ML including testing, deployment automation, observability, and model governance
• Strong Python skills and sound software engineering fundamentals
• Experience delivering cloud-native solutions on AWS and container orchestration platforms such as Kubernetes

Technologies

• Python
• LLMs
• RAG patterns
• Embedding models
• Vector stores
• AWS
• Kubernetes

Benefits

• Performance-based bonus program eligibility
• Comprehensive medical insurance
• Dental insurance
• Vision insurance
• Paid time off and company leave programs
• 401(k) retirement plan, including an employer match where applicable

Preferred Background

• Experience in legal technology, enterprise search, publishing, compliance, or another information-dense product domain
• At least 12 years of software development experience, or 8+ years plus a PhD

Education

• Bachelor’s degree or higher in computer science, machine learning, engineering, or a closely related field

Work Authorization

• Must be authorized to work full-time in the United States both now and in the future

Work model: Hybrid schedule based in Worcester, Massachusetts.