Top Natural Language Processing Jobs in Boston, MA

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

Develop autonomy software for unmanned systems, including algorithm design, software testing in simulations, and collaborative R&D efforts with a multidisciplinary team.

Lead Pfizer's Rare Disease Health IT strategy and customer engagement with leading health systems in the Southeast. Advise on EHR-enabled tools (CDS, order sets, patient portals), support account teams, influence Health IT strategy and governance, attend HIT conferences, and travel up to 35% to advance population health and care management initiatives.

Responsible for designing and implementing training programs for Sales and Customer Success teams, improving performance through metrics, and collaborating with departments for training needs.

Take Deepgram's speech models and optimize, compile, and run them on resource-constrained embedded and edge hardware. Work across model compression, runtime performance (C/C++/Rust), RTOS/bare-metal and embedded Linux environments, vendor NPUs/DSPs and inference runtimes, benchmarking, deployment pipelines, OTA updates, and partner with silicon vendors to enable real-time, low-power on-device voice experiences.

The CS Operations Manager will manage the operational infrastructure for renewal programs, including program design, process configuration, and cross-functional collaboration with teams like Sales and Marketing.

Own and build Hebbia's APAC sales presence from Singapore: manage full enterprise sales cycles, develop relationships with institutional investors, shape regional GTM strategy, represent the product at events, 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 and operate Anthropic's endpoint platform: manage MDM as a production service, author configuration-as-code, build zero-touch provisioning and patching automation, run fleet software distribution and telemetry, partner on endpoint security and compliance, and serve as deep escalation for endpoint issues.