Top Natural Language Processing Jobs in Boston, MA

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

Responsible for designing and developing AI solutions for Oncology R&D, collaborating with scientists to translate complex questions into actionable insights, and contributing technical expertise in rapidly prototyping AI applications.

This role involves using investment banking expertise to develop generative AI tools for financial modeling and transaction analysis, including valuation, financial modeling, and reviewing AI-generated outputs for accuracy.

Lead and coach the SDR team while contributing as a player-coach: prospect, build pipeline, design outbound playbooks and processes, track and report sales metrics, recruit and develop talent, and ensure effective use of Salesforce and Outreach in support of sales goals.

Fixed-term (maternity cover) Senior HR Business Partner to provide employee relations, manager coaching, performance management, and People program continuity. Partner with leaders, People Ops, Legal, Finance, and Recruiting; support immigration processes and external counsel; maintain compliance and people systems; enable change, talent planning, and manager effectiveness in a fast-paced, remote-first environment.

Own full-cycle global recruiting for senior, hard-to-fill technical roles across Research, Engineering, and Product. Build proactive sourcing strategies, define role scope and interview plans with hiring managers, evaluate technical depth for AI-native products, deliver excellent candidate experience across time zones, use funnel metrics to improve hiring velocity, and collaborate with People Ops, Legal, and Finance to scale compliant international hiring.

Lead the design and implementation of backend services for data cataloging and ML training systems, focusing on performance and scalability.

The Senior ABX Manager will design and execute account-based marketing programs for strategic accounts, collaborating with sales to drive engagement and revenue.

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.