Artificial Intelligence Jobs in Cambridge, MA

Founding GTM rep responsible for building and qualifying pipeline across enterprises and AI startups, managing inbound requests and outreach automations, re-engaging sign-ups, coordinating discovery calls with founders/CRO, tracking CRM and pipeline metrics, attending events, and proposing GTM experiments and partnerships.

As an AI Engineer, you will develop AI security capabilities, integrate features for vulnerability detection, and maintain APIs for secure interactions while collaborating across teams.

As a Staff Software Engineer in Applied AI, you will architect AI systems for vulnerability detection, collaborate across teams, and improve AI model performance.

As a Senior Software Engineer on the AI Platform team, you will develop AI security features, enhance vulnerability detection, integrate AI patterns, and collaborate across functions to deliver solutions.

As a Senior Software Engineer for Applied AI, you'll develop AI security capabilities, integrate AI models, and improve security workflows within HackerOne's platform while collaborating across teams.

The Principal Software Engineer will lead architectural decisions, mentor engineers, optimize system performance and reliability, and drive technical direction for LangChain's observability and evaluations platform.

The role involves designing educational content for quantum computing, utilizing AI and machine learning for community engagement and customer training.

The Applied Machine Learning Scientist will develop and optimize machine learning models to analyze TCR-peptide-MHC interactions, collaborating with interdisciplinary teams on therapeutic candidate discovery.

As a Staff Software Engineer, you will design, develop, and maintain cloud-native solutions, ensuring code quality and collaborating with teams to build scalable software solutions using modern technologies.

Design, develop, and maintain scalable AI/ML systems and end-to-end pipelines (data preprocessing, model training, prompt engineering). Collaborate cross-functionally, optimize model performance, ensure fairness and security, monitor production systems, troubleshoot issues, mentor junior engineers, and recommend improvements to data infrastructure and tooling.

Lead AI initiatives for quantum system operations: define roadmap, prioritize bounded-AI pilots for calibration and readout, ensure model validation, observability, safety gates, and cross-functional execution to reduce calibration time, failed jobs, and recovery time.

Lead technical design and execution for an AI/ML mission platform: drive architecture decisions, lead major engineering epics, simplify distributed systems, optimize edge and cloud performance, mentor engineers, integrate ML models and inference pipelines, and represent technical capabilities to DoD stakeholders.

Design and build high-performance UI and APIs, manage database architecture, optimize systems for reliability and performance, and collaborate cross-functionally in a scientific context.

The role involves applying AI and ML to solve real-world physics problems, building simulations, managing customer engagements, and translating data into actionable insights, all while maintaining high scientific rigor.

Design and develop large-scale AI systems for healthcare, focusing on ML infrastructure, real-time analytics, and collaboration with teams. Requires extensive experience in software engineering and AI.

The Product Manager will develop AI-powered front office automation platforms, improving patient experience and operational efficiency, while collaborating with technical teams and stakeholders.

The role involves designing AI solutions for customers, providing architectural guidance, building internal tools and workflows, and collaborating with various teams to enhance operational efficiency.

As a Senior Software Engineer - AI, you will design and implement AI systems, enhance workflows, mentor teammates, and drive quality in collaborative settings.

Manage the AI Products team, engage with legal practice groups, oversee AI tool adoption, and ensure effective communication within the firm.

Lead the engineering team focused on transforming Autodesk.com into a digital growth platform. Oversee execution and technical leadership, collaborating across functions to drive customer acquisition and trial conversion.

The AI Solutions Engineer will implement AI innovations across ERP systems, configure AI capabilities, and develop custom AI solutions for HR, finance, and procurement, utilizing cloud engineering expertise.

The AI & Experience Orchestration Director drives AI solutions in customer experience, collaborates with sales teams, and ensures successful AI implementations. This role requires strong expertise in AI, customer experience, sales strategies, and influencing others to achieve sales goals.

The Staff Backend Engineer is responsible for designing and developing AI platforms, backend services, and APIs, ensuring scalability and reliability while collaborating with cross-functional teams and mentoring engineers.

Lead AI and automation initiatives in Controllership to enhance processes. Collaborate on projects, define requirements, and ensure governance while delivering measurable results.

Serve as a customer-facing technologist partnering with sales to position, demo, and package Forrester AI solutions; translate technical AI capabilities into business value, support deal structuring and negotiations, develop enablement and adoption assets, gather product feedback from the field, and drive client retention through training and value realization.