Artificial Intelligence Jobs in Cambridge, MA

Develop and deploy computer vision capabilities, implement image analytics, support multimodal AI workflows, and optimize performance in a mission-driven environment.

The Senior Director of Generative & Agentic AI will lead Babel Street's AI strategy, architecting scalable AI capabilities and collaborating across teams for product integration and operational excellence in risk intelligence applications.

The Senior Product Manager will lead the development of a data product line, overseeing AI platforms and improving data insights while managing cross-functional teams and stakeholder expectations.

The role involves implementing AI safety strategies, building evaluation frameworks, and developing safeguards against scientific risks from AI models. Candidates must possess strong technical knowledge and communicate complex concepts effectively.

Lead the technical architecture and implementation for LangSmith, collaborating with teams, mentoring juniors, and ensuring code quality.

The Full Stack Engineer will develop and implement features for the LangSmith platform, collaborate with teams, ensure high coding standards, and engage with enterprise customers.

The Principal AI/ML Engineer will lead the design, implementation, and deployment of AI systems, mentor junior engineers, and ensure model performance and reliability in production environments.

Build and maintain high-quality user interfaces for complex AI products, optimizing performance and collaborating with cross-functional teams.

As a Senior Software Engineer, focus on backend development and AI integration for scientific applications, building systems that leverage advanced AI techniques.

Design and build AI systems, applications, and workflows. Implement agentic AI solutions, integrate LLMs, and ensure stakeholder communication on AI capabilities and risks.

Lead AI and automation initiatives in Real-World Data analysis, optimize processes using AI/ML, and drive project management efficiency.

Intern embedded with HR to identify repetitive HR tasks and build AI-powered automations using enterprise Copilot/Claude. Responsibilities include workflow mapping, roadmapping, data-governance reviews, prototyping, testing with synthetic data, documentation, and handing off maintainable tools to HR.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Lead SimpliSafe's AI organization to define and execute company-wide AI strategy, own AI product roadmap, build cloud and on-device ML/CV platform, manage budget and hiring, partner with Product and Engineering, and translate cutting-edge research into consumer AI features for constrained devices like cameras.

Build and operate MLOps and agentic infrastructure: manage model registries, continuous training loops, and A/B testing; deploy agents as scalable microservices on Kubernetes; and create observability dashboards tracking token usage, latency, and agent reasoning.

Develop intent-recognition models from gaze, gesture, and voice data; implement socially aware navigation algorithms respecting personal space; and design visual and auditory feedback for robot user interfaces. Conduct user studies and rapid prototype AI-driven voice and visual interaction systems to test and refine HRI paradigms.

Design and build multi-agent orchestration frameworks, implement tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows.

Design and run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tools, and develop constitutional AI principles and RLHF alignment pipelines to ensure safe AI deployment.

Optimize and compress large language and vision models for on-device inference. Build distillation and hardware-specific compilation pipelines, benchmark performance across NPU/GPU architectures, and deploy models to edge environments.

Design, orchestrate, and optimize large-scale LLM pre-training runs across 1,000+ GPUs using PyTorch/DeepSpeed/Megatron-LM. Improve networking (InfiniBand/RDMA) and memory management, implement 3D parallelism, and automate checkpointing and failure recovery for month-long training jobs on SLURM or Kubernetes GPU clusters.

Lead research developing foundation models for robotics, align text reasoning with low-level control, design zero-shot generalization experiments, integrate models into robotic applications, and publish and present results at conferences.

Design and integrate vision encoders and audio-native models into agent reasoning loops, optimize streaming latency for voice-to-voice interactions, and architect multimodal RAG systems to retrieve insights from videos and PDFs while ensuring efficient cross-modal alignment.

Lead product strategy and roadmap to convert advanced AI and robotic research (VLA models, agentic RAG) into customer-facing solutions. Define safety, usability, and performance metrics, work with early enterprise adopters for feedback, and coordinate cross-functional teams to deliver complex hardware and deep-tech software products.

Lead and operate cross-functional program delivery for Life Sciences AI, coordinating model research, evaluation, experimental science, automation, and software to keep model training, data generation, and validation synchronized while driving milestones, risk management, and executive communication.

The AI Data Specialist builds and maintains data pipelines, models, and integrations for AI systems, working closely with clients to ensure data quality and effective communication. They manage end-to-end data delivery for multiple projects in a fast-paced environment, translating complex problems into clear solutions.