Machine learning engineer • lynn ma
A global provider of data-driven technology solutions is seeking a Senior Machine Learning Engineer to join its Boston-area team in a hybrid capacity.This engineer will guide the design of scalable... Show more
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The average salary range is between $ 124,693 and $ 200,000 year , with the average salary hovering around $ 154,997 year .
Job Description
A global provider of data-driven technology solutions is seeking a Senior Machine Learning Engineer to join its Boston-area team in a hybrid capacity. This engineer will guide the design of scalable artificial intelligence platforms and advanced agent-based systems used across a broad suite of enterprise products.
The position centers on developing modern AI capabilities for a complex professional-information environment. Key initiatives include intelligent research tools, retrieval-augmented generation systems, large language model applications, and production-ready autonomous workflows. You will also help set architectural direction, define engineering best practices, and improve the reliability and security of the broader AI ecosystem.
Core Qualifications
Deep knowledge of machine learning systems and autonomous agent design
Hands-on experience creating LLM applications and retrieval-augmented generation solutions
Practical experience working with vector search technologies and vector data stores
Familiarity with production ML operations, monitoring, and deployment practices
Strong Python development skills
Working knowledge of AWS infrastructure and Kubernetes environments
Preferred Background
Experience delivering 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
Bachelor’s degree or higher in computer science, engineering, data science, or a related discipline
Key Responsibilities
Day-to-Day Work
This is a highly hands-on engineering position
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 supporting orchestration frameworks
Partner with software, platform, and security teams to deliver dependable, secure, and high-performing AI systems
Compensation
Eligible for a performance-based bonus
Benefits include
Comprehensive medical coverage
Dental insurance
Vision insurance
Paid vacation and personal time
401(k) retirement plan with employer match, where offered
This position follows a hybrid schedule in Boston, Massachusetts.
Candidates must be authorized to work full-time in the United States both now and in the future.
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