Top AI & Machine Learning Jobs

Administer, secure, and optimize enterprise AI tools and LLM platforms. Manage access, SSO integrations, usage policies, cost monitoring, audits, and SOC 2 readiness. Build automation scripts, train employees, and partner with IT, Security, and Business teams to enforce AI governance and data protection.

Partner with business teams to identify high-leverage AI opportunities; design, build, and ship agentic AI solutions and internal AI platform components. Deliver production LLM-based agents, integrations, and CI/CD pipelines while driving AI enablement, safety, and adoption across the company.

Design, ship, and iterate production algorithmic systems for healthcare problems (ML, optimization, heuristics, or hybrid). Frame objectives, define metrics, validate solutions, fine-tune LLM products, and monitor outcomes while collaborating with stakeholders.

Lead client engagements to assess business challenges, define enterprise data and AI strategies, develop roadmaps, guide solution design and delivery, provide technical leadership and mentoring, and support practice growth via presales and thought leadership.

Lead experimental ML initiatives: design, train, and deploy multi-modal models and production pipelines; evaluate and prototype emerging ML technologies and agentic workflows; establish AI governance, mentoring, and knowledge sharing; translate research into business impact and thought leadership.

Develop and optimize real-time computer vision and ML systems for detecting, tracking, and classifying drones on an autonomous gun turret. Implement resource-efficient models, integrate vision systems with hardware, and validate performance across diverse, challenging environments to harden prototypes to military-grade standards.

The AI Automation Senior Lead will build AI infrastructure, evaluate AI tools, redefine workflows, and maximize efficiency across teams at Taskrabbit.

Lead Chewy Ads Data Science across onsite and offsite channels, owning strategy, roadmap, models, and experimentation. Build and mentor a team to deliver production ML systems for ranking, bidding, budget optimization, ROAS, and GenAI-powered advertiser tooling while partnering with Product and Engineering and representing science to senior leadership.

Lead design and deployment of advanced machine learning models and predictive analytics. Collaborate with product, engineering, and business teams to define projects, build data pipelines, perform exploratory analysis, and communicate insights. Mentor junior data scientists, evaluate statistical methods, and contribute to strategic data science direction to drive product and service improvements.

Design and implement multi-step agentic AI workflows (orchestration, retrieval, tool use, state management) using frameworks like LangGraph/LangChain. Build retrieval pipelines over proprietary CRE data, evaluate and monitor model quality with human-in-the-loop processes, integrate Anthropic models on AWS Bedrock, implement guardrails and observability, and rapidly prototype features with Product and Design to deliver trustworthy, source-linked AI capabilities that perform real business actions.