Top AI & Machine Learning Jobs

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.

The AI Strategy & Operations Advisor will operationalize AI strategies, build governance frameworks, assess AI maturity, and advise leadership teams.

The Senior Principal Engineer will lead the development of ML systems at SoundCloud, focusing on recommendation and personalization techniques while mentoring engineers and driving strategic direction.

Partner with SMB and Mid-Market AI/ML teams to drive adoption, run onboarding workshops, demo product capabilities, identify expansion opportunities, own renewals and upsells, and coordinate with Solutions and Application Engineering to deliver technical implementations and business value.

Own the end-to-end document extraction and intelligence product: set roadmap, choose methods (OCR, layout, VLM/LLM), spec extraction logic for engineers, design human review and evaluation frameworks, and align capabilities with client and business needs.

Lead pre-sales solutioning for Data, AI/ML, and GenAI on Google Cloud: qualify opportunities, design end-to-end architectures, produce de-risked estimates and SOWs, partner with sales and delivery, and represent Nerdery in the Google partner ecosystem to accelerate deal closure.

Design, build, validate, deploy, and monitor machine learning and generative AI solutions for healthcare and life sciences. Work with EHR, claims, and registry data to produce clinical predictions, operational optimizations, and LLM-powered applications. Translate results for stakeholders, document best practices, and mentor client teams.

Lead and manage a team of data scientists to design and deliver predictive models, optimization, text analytics, and statistical analyses. Communicate model behavior and results to the business, perform technical risk and reliability assessments, design multi-model algorithms, and apply engineering approaches and data-science libraries to solve enterprise problems.

As a Senior Data Scientist, you'll lead projects leveraging data to enhance healthcare outcomes, mentor team members, and align data efforts with business goals.