Top Natural Language Processing Jobs in Boston, MA

Develop, validate, and interpret ML models and end-to-end pipelines to predict oral drug absorption using large, heterogeneous biopharmaceutics and clinical datasets. Emphasize model explainability, uncertainty quantification, and mechanistic/physics-informed approaches, translate outputs into actionable insights for drug development teams, and communicate results via reports, presentations, and publications while contributing to AI-enabled predictive platforms.

The Technical Account Executive will lead the sales lifecycle for EliseAI's CRM in housing, managing technical discovery, solution design, and commercial execution with a focus on customer needs and multi-stakeholder organizations.

The Electrical Engineer will design and develop electronic systems, collaborate on integration tasks, and troubleshoot complex systems for air vehicle systems.

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

Manage a portfolio of educational accounts to grow ARR through upsells and renewals. Prospect within accounts, build stakeholder relationships, develop strategic plans and business cases, maintain CRM records, collaborate with Customer Success, and report forecasts, risks, and opportunities to management.

Provide legal counsel to research and product teams on model development and deployment. Draft and review consumer-facing terms, privacy policies, and disclosures. Build privacy program and AI governance frameworks, translate international AI regulatory developments into actionable policies, and scale AI-native legal workflows across the company.

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.

The Sr. DevOps Engineer will manage cloud infrastructure, ensuring efficient deployment and maintenance with extensive use of AWS and Cassandra.

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.