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About PostHog Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog is the only platform that acts like a co-pilot for you…
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
Lead a team to design and deploy machine-learning models that extract features from sensors and enable autonomous vehicles to localize precisely in real time across diverse roads.
Builds real-time search and RAG (Retrieval-Augmented Generation) systems for Siri and Apple’s search products, focusing on query understanding, document retrieval, ranking, and ML model integration to deliver instant user experiences like weather, flights, sports, and stock data.
Leads enterprise AI architecture, designing and deploying scalable ML models (TensorFlow/PyTorch) and data pipelines to transform business operations and enable predictive insights.
Build AI models that parse security logs and detect threats using LLMs, embeddings, and retrieval, then ship them as production services in a breach-emulation platform.
Overview The Core Recommendation Ranking team in Microsoft AI Copilot Discover Engineering Org is looking for a Principal Applied Science Manager who wants to build the next generation of recommendations using advanced…
Build and deploy ML models to detect account-sharing fraud in real time for a global anime streaming platform, using anomaly detection and cloud-based MLOps pipelines.
Build and optimize diagnostics software to validate AMD’s security hardware IP across CPUs, GPUs, and accelerators, using C/C++ and AI-driven tools to root-cause issues from pre-silicon to production.
Senior ML Engineer in Bogotá building and optimizing models for enterprise use cases, maintaining robust data pipelines, and mentoring junior team members.
Lead AI and Data Science teams, design analytical strategies, and implement advanced GenAI solutions using Python, MLOps, deep learning frameworks (TensorFlow/PyTorch), LangChain, and cloud platforms (AWS/GCP/Azure) in a Madrid-based Center of Excellence.
Build and deploy ML models end-to-end in healthcare, from EDA to production on GCP, using Python, LLMs/GenAI, and MLOps pipelines.
Leads ROCm software validation for AMD’s AI/ML GPU platforms, defining test strategies, infrastructure, and release gates for multi-GPU/server workloads (e.g., LLMs, HPC). Owns end-to-end validation, debugs complex failures, and mentors engineers.
Builds and scales the core infrastructure for AI platforms at Databricks, including MLflow, AI Gateway, and model serving systems, using Scala, Go, or Python.
Designs and deploys GenAI models and systems for Databricks’ AI-powered products like Assistant and AI/BI Genie, focusing on LLM quality and scalable ML pipelines.
Build and scale Databricks' managed GPU training platform (AI Runtime), designing systems for large-scale AI model training, fault tolerance, and developer experience.
Build and scale LLM inference infrastructure for enterprise AI workloads, enabling customers to serve and optimize frontier models with high reliability and performance.
Build and scale the backend infrastructure that powers Databricks’ AI platform, including MLflow, model serving, and vector search, using Scala, Go, or Python.
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