Top Natural Language Processing Jobs in Boston, MA

The Cloud Engineer will develop and maintain cloud infrastructure, oversee deployment of cloud services, and ensure compliance with security guidelines. Candidates should possess strong communication skills and be eager to learn new technologies. Experience with AWS, Azure, GCP, Terraform, and Agile development is required.

The Customer Training Specialist will ensure smooth client onboarding and transition, conduct trainings, gather feedback, and enhance user experiences with products.

As a Senior Backend Engineer, you will develop APIs, collaborate with various teams, and manage project priorities while ensuring communication is efficient and inclusive.

Lead optimization and experimentation for Pfizer's HCP web properties (primarily PfizerPro). Develop experimentation roadmaps, run A/B and multivariate tests, analyze web and business metrics, partner with UX, analytics, and strategy to translate insights into product and design improvements, and adopt AI-enabled tools to scale personalization and accelerate test velocity while maintaining rigorous measurement.

Lead the developer experience roadmap and own multi-language SDKs and the code-generation pipeline. Design CI, release automation, observability, and tooling (CLI, starter repos). Improve cross-language parity, docs, and developer onboarding; remove systemic friction and represent DX to Product, Engineering, and Partnerships.

Intern will own and deliver a scoped engineering project on Deepgram's voice platform (ASR/TTS/LLM/API/SDK), ship reviewed code to staging/production, use AI in development workflows, improve a component measurably, and present results with documentation.

Lead demand generation programs for Superhuman Mail, collaborating with Sales and other teams to drive marketing-sourced pipeline growth through integrated campaigns, optimization, and performance analysis.

Own and grow Hebbia's Middle East enterprise sales: prospect, run demos, negotiate and close large deals with sovereign wealth funds, asset managers, banks and PE/VC; build regional pipeline, represent the company at events, partner on technical evaluations, inform product and GTM strategy, and hire a regional team.

The Enterprise Account Executive will drive sales by managing the sales process, generating new business, engaging with prospects, and achieving revenue targets.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

Own end-to-end product development for investor-facing experiences and internal AI tools: identify opportunities, gather user feedback, design and prototype solutions, write and maintain code, deploy limited-access internal systems, measure adoption and impact, and collaborate cross-functionally to improve investor engagement and operational efficiency.

Lead Crunchbase's social and community strategy across platforms: manage editorial calendar, create platform-native content and short-form video, engage online communities (Reddit, G2), monitor trends and performance, and partner cross-functionally to grow brand influence and reputation.

Provide commercial legal support for SaaS and data licensing deals, negotiate complex contracts, advise on privacy/security and AI governance, improve legal processes and CLM, and partner cross-functionally with Sales, Product, Security, and external counsel.