Top AI & Machine Learning Jobs

Lead design, development, and delivery of ML, DL, and Generative AI systems for production. Apply prescriptive analytics, optimization, recommendation, and reinforcement learning. Build and evaluate models, run experiments, develop prototypes, benchmark methods, and collaborate with business partners to translate data into actionable recommendations and influence strategy.

Open general application for Rapsodo, a sports analytics company using computer vision and machine learning. Seeking driven team players passionate about sports and technology to contribute to state-of-the-art analytics solutions and growth across product teams. Applicants encouraged to apply to join a fast-paced, innovative company partnered with major sports organizations.

As an Applied AI Engineer, you will collaborate with engineering firms, building AI tools, owning the development process from problem discovery to deployment, and shaping company culture and product strategy.

Design, prototype, and deploy production-ready AI features using LLMs and orchestration tools. Build scalable APIs, implement monitoring/safety, integrate Vertex AI/OpenAI, and lead AI integration projects with product and engineering.

Build and train AI agents to discover and exploit software vulnerabilities. Design and maintain evaluation benchmarks, develop training procedures and reinforcement learning environments, and perform model evaluation at scale to produce reliable, scalable security products.

Lead and grow a data team responsible for web-scale multimodal data infrastructure, SOTA pre-training datasets, and data-centric modeling; set technical direction, partner with research, and hire and mentor engineers and researchers.

Own the product roadmap and execution for co-development, distribution, and integrations with major cloud and data platforms. Scope and validate integrations, drive end-to-end technical and GTM launches, align cross-functional teams, and measure partner-sourced pipeline, usage, and adoption.

Lead AIOps strategy and architecture to modernize operations during AWS migration. Design and implement observability, agentic AI, ChatOps, and SRE practices to improve incident detection, triage, remediation, automation, and platform resilience. Partner across engineering, cloud, security, and operations to establish standards, governance, playbooks, and mentor teams.

The Applied AI Engineer will work at the intersection of product, engineering, and research to develop AI tools, influence engineering practices, and contribute to company culture while addressing customer challenges.

Build lightweight, Slack- and Sheets-integrated AI agents to pull and analyze data from ad and web APIs, surface anomalies and trends, and produce alerts, reports, and LLM-generated content briefs and recommendations. Deliver scoped, fast iterations on multi-step pipelines including classifiers, scorers, and recommendation layers.