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Build, train, and deploy AI models (ML, DL, generative, RAG, agents, computer vision) in Python, then wrap them in APIs for production use.
About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data…
Summary Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first…
Company: Qualcomm Intl Inc., Mexico Branch Office Job Area: Engineering Group, Engineering Group > Software Applications Engineering General Summary: General Summary: Qualcomm is a global leader in connected…
Build AI-native tools and agents for frontend chip design workflows using Python, C++, PyTorch, and LLMs.
Research and develop tactile AI systems for robotics, integrating machine learning, haptics, and control to enhance perception and manipulation in Apple’s ecosystem.
Responsibilities Noblis is seeking an experienced AI/ML Engineer to support mission-critical national security initiatives. In this role, you will design, develop, and deploy advanced machine learning solutions while…
Build and scale AI agents that automate healthcare workflows using TypeScript, Node.js, and LLM tooling like RAG, integrated with EHRs and deployed on Kubernetes.
Develops and deploys computer vision models and pipelines to analyze sports video data, using Python, PyTorch/TensorFlow, and cloud services to power analytics for elite athletes and teams.
Build and ship state-of-the-art voice conversion and speech models end-to-end, from data curation to production inference, using large-scale diffusion/flow-matching transformers and PyTorch.
Build and scale Joulea’s backend platform to integrate ML and building energy models, using Python, FastAPI, AWS, and Kubernetes for a climate-tech startup in Atlanta.
NexTex AI is a Berlin deep-tech startup building an AI intelligence layer for textile manufacturing. Join the founding team to build scalable backend, cloud and edge-to-AI infrastructure. Tasks • Design and develop…
Build and scale Reddit’s next-gen AI-powered search engine, integrating LLMs and retrieval systems to deliver conversational answers and improve relevance for millions of daily users.
Build and maintain automation, diagnostics, and AI agents for GPU compute clusters and data-center infrastructure to keep Crusoe’s high-performance AI systems running smoothly.
Principal ML Scientist designs generative and predictive models for antibody design, leads research strategy, and deploys models in a high-throughput wet-lab platform to accelerate drug development.
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
Build and deploy AI-driven products to accelerate clinical trials and improve patient outcomes using LLMs, NLP, and MLOps on AWS.
About the role We are seeking a data scientist to advance our cell profiling and computational microscopy platform, transforming large-scale imaging data into biological insight. You will work closely with biologists,…
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and…
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