Top AI & Machine Learning Jobs

Build, optimize, and deploy production-grade machine learning systems for sports analytics. Improve data pipelines, feature engineering, model training, evaluation, and low-latency prediction services. Collaborate with DevOps and Data Engineering to scale workloads on Kubernetes, maintain cloud-native EDW/ETL solutions, and promote software development best practices.

Design and implement scalable AI/ML-driven HealthTech microservices, contribute to technical architecture, write high-quality code, perform code reviews, develop proofs-of-concept, troubleshoot production issues, and document work while collaborating in agile teams.

The Manager of Advanced Analytics will lead the design and implementation of data solutions, mentor team members, and collaborate with stakeholders to drive analytics strategy and improvements in patient outcomes.

Join Hiring.Cafe as a Founding Machine Learning/AI Search Engineer to develop AI recommender systems and scalable infrastructure, contributing to a transformative job search engine.

Join as an early engineer owning major product areas end-to-end. Build cloud IDE surfaces, design systems for autonomous agents to write/test/ship code, iterate with founders and customers, and set engineering standards and culture.

The Senior Analyst will develop AI and ML algorithms, optimize data systems, and present research findings. Requires extensive experience in model development, system architecture, and MLOps.

As a Staff Engineer, you'll develop and optimize AI models for autonomous agentic systems, collaborating across hardware, software, and product teams.

Develop and operate a system for argumentation related to AI safety, utilizing ontologies and knowledge graphs while collaborating with various stakeholders.

Design, build, and deploy machine learning models for a payments platform, overseeing end-to-end solutions and experimentation, while monitoring models in production.

The Lead AI Engineer will build LLM-powered features, optimize AI infrastructure, and lead the execution of AI projects. Responsibilities include designing pipelines, evaluating models, and collaborating with product teams.