Senior Machine Learning Engineer

Build and productionize generative AI capabilities in a hybrid role supporting research-heavy, content-intensive professional workflows.

Responsibilities

• Serve as a deeply hands-on individual contributor on AI-driven product features
• Engineer capabilities 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
• Partner with product engineering, data, infrastructure, and cybersecurity teams to meet enterprise standards for speed, availability, and protection

Requirements

• 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
• Background building products for legal, regulatory, publishing, knowledge-management, or similarly content-intensive environments
• 12+ years of 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
• Applicants must be authorized to work in the United States on a full-time basis now and in the future

Technologies

• Python
• AWS
• Kubernetes

Compensation & Benefits

• Opportunity to earn an annual performance bonus

Benefits Package

• Medical plan options
• Dental coverage
• Vision coverage
• Paid vacation and other time-off programs
• 401(k) retirement savings plan with employer contribution when applicable

Position Overview

• Hybrid position based in Nashua, New Hampshire
• Senior-level role with 8+ years of minimum experience
• Focused on generative AI applications for research-heavy professional workflows
• Responsibilities include building and improving large language model services, semantic retrieval components, and coordinated agent systems
• Work includes contributing to technical foundations for deployment, scale, observability, and responsible use