Senior Machine Learning Engineer

Motion Recruitment; Worcester (MA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Performance bonus

Medical insurance

Dental insurance

Vision insurance

Paid time off

401(k) plan

Job summary

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

The role focuses on building AI-powered features, designing distributed ML services, retrieval pipelines, model services and tool-driven workflows, while ensuring performance, resilience, privacy, and scale in collaboration with security and data teams.

Qualifications

• Production ML experience delivering AI/ML systems
• Experience building applications with LLMs, AI agents, and tool-driven workflows
• Familiarity with operational ML incl. testing, deployment automation, observability, and governance
• Strong Python skills and solid software engineering fundamentals
• Experience delivering cloud-native solutions on AWS and Kubernetes

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 ML services that operate reliably across a large enterprise product ecosystem
• Build and integrate retrieval pipelines, model services, agent frameworks, and APIs
• Collaborate with application, platform, data, and security teams to meet needs for performance, resilience, privacy, and scale

Skills

Python

LLMs

RAG patterns

Embedding models

Vector stores

Relevance retrieval

Strong Python

Cloud-native

Education

Bachelor's degree in CS or related field

Tools

AWS

Kubernetes

Docker

Job description

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.