Top AI & Machine Learning Jobs

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The AI Engineer will develop AI systems, lead model orchestration and inference, and collaborate on product strategies. Responsibilities include designing architecture, optimizing performance, and mentoring engineers.

Own a product area end-to-end for multimodal conversational AI used in 911 centers. Define roadmap through customer and founder input, prototype with engineers, ship products, and coordinate across engineering, marketing, sales, and implementation to drive adoption and rollout.

As a Founding AI Engineer at Jetty, you'll build systems for intelligent health management, focusing on backend engineering, data pipelines, and context layers for long-term insights.

The Senior Applied Scientist will research and engineer NLP solutions, design algorithms, train LLMs, and contribute to platform development.

As a Curriculum Specialist, you will maintain and enhance computer science curriculum, create instructional materials, and support teachers while ensuring quality and alignment with standards.

Build, validate, and productionize clustering and attribution heuristics on large multi-chain on‑chain datasets. Own end-to-end data pipelines, investigate edge cases (mixers, bridges, consolidation), benchmark against ground truth, and partner with investigations and product to define and defend precision/coverage metrics.

The AI Engineer will develop AI applications and systems, optimize workflows, manage memory and context, and collaborate with teams to integrate AI solutions into products.

Embedded on client-facing teams to research labor markets and workforce data. Acquire and clean public and proprietary data, build custom scraping and analytical tools, and apply ML/NLP/LLM techniques to produce talent intelligence and actionable recommendations for clients.

Lead end-to-end design, prototyping, and productionization of computer vision and spatial AI systems (SLAM, mapping, localization, multi-agent tracking). Benchmark and integrate research or vendor solutions, optimize for edge devices, fuse camera data with other sensors, and mentor engineers while owning robust, production-ready pipelines and APIs.