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Develops and deploys AI-powered computer vision models for security analytics, including object detection, facial recognition, and license plate recognition, using C++, PyTorch, and TensorFlow.
Senior Software Engineer on Verkada's Computer Vision team, building and deploying AI/ML models for video analytics—people/vehicle detection, license plate recognition, facial recognition—using C++, PyTorch, TensorFlow, and traditional CV algorithms on edge devices.
About Katalyze AI Katalyze AI is a fast-growing AI-driven biotech platform company on a mission to make life-saving drugs accessible and affordable for everyone. Our AI Agents help pharmaceutical and biotech companies…
Develop and deploy ML/AI models for drug discovery at the Structural Genomics Consortium, working with DNA-Encoded Library screening data and deep learning architectures like transformers and graph neural networks using Python.
About the role We are looking for an Applied Data Scientist to join our growing R&D team. You will play a key role in developing the AI capabilities that power our platform, while also acting as a hands-on…
About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to…
Senior Machine Learning Engineer designing and improving core ad-response models (pCTR, conversion prediction) for Instacart’s ads platform, using deep learning, causal inference, and sequence modeling to enhance ranking and retrieval systems.
Senior ML engineer at Instacart builds and optimizes a unified ranking platform that powers search, recommendations, ads, and merchandising using multi-task learning, causal models, and LLMs.
Builds and deploys ML models to predict real-time in-store inventory and stocking dynamics across thousands of retail locations, collaborating with engineers and data scientists to improve grocery delivery accuracy and operational efficiency.
Huawei Canada has an immediate permanent opening for a Researcher. About the team: The Software-Hardware System Optimization Lab focuses on research and innovation in power efficiency and performance optimization for…
Staff ML Engineer on Okta's GenAI team, architecting and deploying production ML/GenAI systems including LLM-powered features, RAG workflows, and agentic applications using Python, Claude-based systems, and cloud AI platforms.
About Tapestry Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world’s most important infrastructure challenges: helping the energy system become more…
Reporting to: Principal Data Scientist Location: Helsinki/ 2 days Hybrid About the Role: We're looking for a passionate and skilled Machine Learning Engineer to enhance and evolve our trademark search engine. In…
Design, implement, and optimize AI/ML models and tools, collaborating with data scientists and engineers to integrate AI into applications using Python, ML frameworks, RAG, Agentic AI, and cloud platforms.
Build and maintain end-to-end analytics and ML solutions in BigQuery and Python to drive data-driven decisions, KPIs, and predictive models for business and operations.
This senior developer role involves building and maintaining software solutions for a major financial services client using Python and Java. The position focuses on modernizing applications and integrating AI-assisted engineering capabilities into the software delivery lifecycle.
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape…
Senior Software Engineer focused on performance debugging and profiling for ML software/hardware stacks (TPU chips), summarizing trace timelines, memory usage, compiler profiles, and ML graph summaries across the full stack.
The Data Scientist II will develop machine learning and statistical models to support Crop Protection R&D, focusing on applying generative AI, LLMs, and agentic workflows to scientific data. The role involves collaborating with domain experts to build analytical solutions and knowledge graphs to accelerate biological and chemical research.
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