Top Natural Language Processing Jobs in Boston, MA

Lead R&D Support for Clinical and Research, manage application portfolios, oversee service performance, engage teams for effective delivery, and foster innovation in solutions.

Develop and maintain APIs, collaborate with cross-functional teams, manage project priorities, and promote technical development through mentoring and reviews.

The VP of Sales Enablement will build an enablement team, develop strategies for sales and customer success, and implement AI-driven training systems while driving revenue growth.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision and data analysis while collaborating with team members to transition algorithms to production.

The Enterprise Account Executive at Superhuman drives Coda Docs sales within enterprise clients, managing complex deals and collaborating across teams to achieve revenue targets.

As Model Evaluation QA Lead, you'll ensure model quality assurance across Deepgram's AI pipeline, designing automated evaluation frameworks, integrating quality gates into release pipelines, and ensuring high standards for model deployments.

The Account Executive at Deepgram is responsible for building a sales pipeline, exceeding targets, collaborating with teams, and understanding customer needs to sell the voice AI platform.

As a Senior Website Manager, oversee the governance, optimization, and evolution of Deepgram.com, managing the website backlog, coordinating updates, and enhancing user experience through data-driven strategies and SEO initiatives.

The Business Development Representative engages with potential customers, qualifying leads and supporting sales efforts while managing prospect information in Salesforce.

The Strategic Account Executive will drive Kustomer's sales initiatives, close strategic AI enterprise deals, and maintain client relationships in the enterprise sector, working closely with sales leadership to meet quotas and enhance customer experience.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

The role involves architecting QuillBot's AI systems, leading R&D and Applied AI teams, and integrating cohesive workflows across products. Responsibilities include designing agent-driven systems, optimizing performance, and aligning cross-functional teams for effective execution.