Position Overview
A multinational technology and information-services business is seeking a Machine Learning Engineer for a hybrid position based in Nashua, New Hampshire. The engineer will help turn advanced AI research into dependable product capabilities that can serve users across a broad enterprise platform.
This role is centered on generative AI applications for research-heavy professional workflows. You will create and improve large language model services, semantic retrieval components, and coordinated agent systems while contributing to the technical foundations that support deployment, scale, observability, and responsible use.
What You Bring
Significant experience developing and productionizing machine learning solutions
Hands-on expertise with large language models, autonomous agents, and multi-step AI workflows
Strong command of retrieval-augmented generation, embeddings, vector indexing, and semantic search
Understanding of model release processes, experiment tracking, monitoring, and other MLOps practices
Professional Python engineering experience
Experience operating distributed workloads in AWS and Kubernetes
Additional Qualifications
Background building products for legal, regulatory, publishing, knowledge-management, or similarly content-intensive environments
12+ years in software development, or 8+ years of development experience combined with a doctoral degree
Degree in computer science, artificial intelligence, engineering, or a related technical discipline
How You Will Contribute
Primary Activities
A deeply hands-on individual contributor role
Engineer AI-driven product features that help professional users search, synthesize, and act on complex information
Develop resilient services and platform patterns for large-scale, distributed machine learning workloads
Create orchestration layers that connect LLMs, retrieval services, tools, and agent-based processes
Work alongside product engineering, data, infrastructure, and cybersecurity teams to meet enterprise standards for speed, availability, and protection
Compensation & Benefits
Opportunity to earn an annual performance bonus
The benefits package includes
Medical plan options
Dental coverage
Vision coverage
Paid vacation and other time-off programs
401(k) retirement savings plan with employer contribution when applicable
This role follows a hybrid work schedule in Nashua, New Hampshire.
Applicants must be authorized to work in the United States on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10105282
- Position Id: 884169
- Posted 2 hours ago
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