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Build and deploy ML models to extract rare, critical driving scenarios from petabytes of sensor data for autonomous vehicle development using PyTorch, multimodal learning, and data mining pipelines.
Principal Computer Vision Engineer at Instacart’s acquired Arpalus team develops AI-powered computer vision and AR tech for real-time object detection, scanning, and spatial understanding in mobile products, bridging research and production pipelines.
Lead optimization of ML models (Transformers, LLMs, VLMs) for real-time self-driving on embedded hardware, using quantization, kernel fusion, and profiling to maximize performance under strict compute constraints.
Leads AI/GenAI strategy, governance, and implementation for banking clients, designing chatbots, workflows, and models using Microsoft/Azure tools while mentoring teams and driving digital transformation.
Develop ML models to track human motion and health insights for Apple devices using sensor fusion and deep learning.
ML QA Engineer at Apple ensuring quality of iOS/macOS creativity apps through evaluation strategy, test automation, data analysis, and working with annotation teams using Python/Swift with ML, computer vision, NLP, and generative AI.
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…
The Machine Learning Engineer will develop large-scale machine learning models and natural language processing systems to improve query understanding and ranking for Siri Search. The role involves building infrastructure to process web-scale data and deploying evaluation metrics to enhance search features across Apple products.
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.
Senior ML engineer in Operations Research builds optimization and AI models to improve Instacart’s order batching, shopper routing, and real-time assignment systems, using Python, ML frameworks, and combinatorial optimization.
Build and deploy ML models for Instacart’s ad systems, focusing on response prediction, ranking, and auction optimization across consumer surfaces.
The Data Scientist & ML Engineer will develop and apply advanced AI solutions, including computer vision, LLMs, and predictive modeling, to optimize industrial control systems and processes. This role involves writing production-ready code and collaborating within a multidisciplinary research team to drive innovation in industrial settings.
Eurecat is seeking a Data Scientist and Machine Learning Engineer to develop and apply AI-driven solutions for industrial process monitoring and control. The role involves working with technologies like computer vision, LLMs, GNNs, and time-series analytics to innovate across various industrial sectors.
Builds and deploys AI-driven mental health support systems, focusing on LLM safety, guardrails, and ethical design for a global crisis support platform.
Provide high-touch support and tailored Spark/ML/AI solutions for Databricks' largest customers—traging complex issues, building POCs, developing playbooks, training teams, and acting as a trusted advisor in executive reviews.
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