Top AI & Machine Learning Jobs

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

Lead and grow a distributed engineering team to build and scale AI platforms and agents for healthcare. Own technical strategy, data/retrieval/semantic architectures, ML model serving and MLOps, and deliver HIPAA-compliant, cloud-native systems in partnership with Product, Data Science, and Clinical teams.

Lead development of AI-powered patient experiences: LLM-driven intake and therapist matching, between-session support, evaluation and safety infrastructure, outcome measurement, and HIPAA-compliant product delivery. Partner with Engineering, ML, Data Science, Clinical, and Legal to ship and monitor models in production, write evals, design red-teaming and human-in-the-loop flows, and measure patient outcomes.

Lead analytics strategy and decision support, perform deep-dive analyses, build predictive and ML models, design experiments, create trusted reporting and dashboards, ensure data quality, partner cross-functionally, and influence product, growth, revenue, operations, and finance through evidence-based recommendations.

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.

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.

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.

The Sr. Data Scientist will utilize statistical and machine learning techniques to solve healthcare-related problems and enhance predictive modeling across products, collaborating closely with various teams.