Search jobs right inside Claude, ChatGPT or Cursor. Connect freehire over MCP — free, no account needed to search.
About the Role We are seeking an AI/ML Engineer with strong Data Science and Generative AI capabilities to design and deliver next-generation AI solutions across Global Financial Markets. The role will focus on…
Business Function: Group Marketing & Communications is responsible for building, protecting, and enhancing the DBS brand in an increasingly commoditised banking industry. Working closely with all units within the…
With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Technology Director is responsible for leading the technical strategy, roadmap, architecture, and…
Sr Data & AI Architect II/Work Model: Onsite, Framingham, MA Staples is business to business. You’re what binds us together. Team Summary: The Enterprise Data & AI team partners across Data Engineering, Data…
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship. The AI Engineering team…
Principal Machine Learning Engineer Location: Paris (Remote / Hybrid - Fully Remote or 2 Days in the Office) Salary: €135,000 Base + €15,000 Bonus (OTE €150,000) THE COMPANY This profitable French AdTech scale-up is…
About the role and team The Rider Intelligence team powers personalization across Uber’s app homepage, helping users discover and access the most relevant services at the right time. Our work spans ranking homepage…
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Storytelling is, and will always be, the heart of what we do at Skydance. Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for…
Senior individual-contributor role at Staples providing hands-on technical leadership for AI powering ecommerce search, retrieval, ranking, personalization, and visual discovery. Spans computer vision, vision-language/multimodal models, and GenAI, with research-to-production delivery on Databricks and AKS plus mentoring.
Senior Product Manager owning the strategy, roadmap, and execution of Treering Yearbooks — acting as the voice of the customer, defining metrics and experiments, and leading cross-functional delivery. Heavy focus on product analytics (Amplitude, Mixpanel, Looker, Metabase), user research, and AI-enabled personalization features.
Full-stack engineer role (5–10 yrs) at adtech platform Yieldmo, building an AI-powered search engine for publisher content: backend services in Python, production ML features (embeddings, vector search, RAG, LLMs), and React front ends. Fully remote, but candidates must be based in India.
Senior IC Product Manager at Peloton owning strategy and execution for Personalized Guidance (Peloton IQ) — AI-powered personalized fitness coaching across connected fitness devices and apps. Day to day: setting product vision, partnering with design, engineering, content and marketing, defining metrics, and driving AI features from requirements to launch.
Builds and scales the back-end services, APIs, and database layers behind Remolity's remote-job search platform, working on job discovery, search, filtering, and user-preference features in a fully remote team. Core work uses a modern language (e.g., Python, JavaScript/TypeScript, or Java), REST APIs, and relational/NoSQL databases.
Principal ML engineer at DoorDash leading the technical direction for AI-first ads ranking and relevance systems — designing sequence models, deep learning, and LLM-powered decisioning for real-time ad selection and personalization. Owns the full model lifecycle from research to production using Python/Java/C++ and frameworks like PyTorch.
Senior Staff ML Engineer on DoorDash's Ads & Promos Delivery team, setting technical direction for AI-first ads ranking and relevance systems — applying sequence modeling, deep learning, and LLMs to personalization and query understanding, and owning the full model lifecycle from research through production at marketplace scale.
