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Research and build deep learning models for trading strategies using large-scale GPU clusters, collaborating with traders and engineers to deploy ML in finance.
Build and deploy ML systems for search, chatbots, and LLM-powered features that power a large real-estate platform across Latin America.
Staff-level ML engineer on YouTube's recommendation systems team: leads the design and implementation of retrieval/ranking recommendation models, optimizes ML infrastructure and model architecture, and provides technical leadership across teams. Requires deep ML expertise at large scale.
Builds AI-driven robotics systems for physical-world automation (food, mining, transport) by designing and deploying ML models (LLMs, GNNs, deep learning) for real-world control, prediction, and optimization in production environments.
Build and deploy AI models (LLMs, GNNs, deep learning) for robotics and logistics in food and other industries, turning physical operations into scalable, automated systems.
Product Manager on Google's Geo Digital Real World Model team, owning the serving/ranking engine that delivers geo-tagged map content to agentic AI products (Gemini, Search). Day to day: driving the product lifecycle, shifting from pass-through data pipelines to active quality and ranking systems, and optimizing retrieval pipelines for token efficiency using GenAI/LLM tooling.
Backend-focused machine learning engineer at Good Inside, a parenting-guidance platform: designs and maintains backend services, APIs, and data pipelines that integrate ML APIs (LLMs, embeddings, recommendations) into production features. Python plus another backend language, cloud infrastructure, and containers; New York-based at $205k-$235k base.
Staff data scientist building production models that route auto insurance shoppers to the carrier most likely to convert on Launch Potato's click wall, plus ROAS-driven media buying models. Hands-on IC role covering problem framing, modeling, deployment and monitoring using Python, SQL and AWS.
Staff Data Scientist building production ML for Launch Potato's lead-gen business: models that match auto insurance shoppers to carriers on the click wall and media-buying/bidding models held to ROAS. Hands-on IC role in Python, SQL, and AWS; remote-first, mostly East Coast hours.
Owns the full data science engine for a marketing vertical (starting with Insurance) at Launch Potato: framing business problems with stakeholders, building adtech/leadgen models (bandits, ranking, LTV) and driving ROAS, using Python, SQL, and AWS. Hands-on US-remote role with an ML engineering partner for deployment.
Hands-on IC data scientist who builds production models deciding which auto-insurance carrier each shopper sees on Launch Potato's click wall and drives ROAS-based media bidding, later expanding to other verticals. Core stack: Python, SQL, AWS (SageMaker, S3, Athena, ECS), with an ML engineer supporting deployment.
Hands-on Lead Data Scientist at Launch Potato building production ML that routes auto-insurance shoppers to the right carrier on its click wall and powers ROAS-held media buying models. Owns the full lifecycle—problem framing, data, modeling, deployment, monitoring—using Python, SQL, and AWS.
Senior Product Manager owning end-to-end search and discovery for an e-commerce platform: defining strategy and roadmap for query understanding, ranking/relevance, autocomplete, and recommendations, while improving metrics like CTR, conversion, and search-driven GMV with engineering, data science, and merchandising teams.
Backend/platform engineer on Perplexity's Enterprise Knowledge Platform team, building the connector runtime, hosted MCP servers, semantic/knowledge layer, and integration marketplace that let AI agents discover enterprise tools and act within permissions. Stack centers on Python/Go/Rust with AWS and Kubernetes.
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Marketing Technology Program Manager based in the United States . In this role, you…
Designs and builds scalable data platforms and AI solutions for enterprise clients, focusing on cloud data architectures, lakehouse systems, and real-time pipelines using tools like Azure, Databricks, and Snowflake.
Leads end-to-end human evaluation programs that measure and improve personalized film/TV recommendations — designing scoring rubrics, running rater onboarding and quality assurance (inter-rater reliability), and managing external annotation vendors. Cross-functional with Product, ML, Data Science, UX, and Engineering; remote within the US.
Senior Product Manager on Google Search owning the quality of the new Google Images inspiration feed — leading ranking, retrieval, and personalization, and partnering with Google DeepMind to productionize frontier AI like multimodal embeddings and generative retrieval at global scale. Requires 8+ years in product management plus recommendation-systems/feed-ranking experience.
Principal Member of Technical Staff - Java + Node.Js (GenAI search) Location: India - Bangalore Remote Type: Office - Flexible Time Type: Full time Job Description To get the best candidate experience, please consider…
About Storable At Storable, we're redefining property management for specialty real estate. Powered by AI and three decades of industry data, Storable empowers over 33,000 self-storage facilities with the…
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