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Data Scientist building end-to-end ML models and production data pipelines in Databricks (Python, PySpark, SQL) to power hyper-personalized CRM campaigns, churn reduction, and CLV prediction for a retail beauty company.
The Data Scientist will build and deploy predictive models and data pipelines in Databricks to drive customer lifetime value and personalization strategies. This role involves end-to-end ownership of machine learning projects, from feature engineering to production monitoring, while collaborating with marketing and CRM teams.
PulseMedica is advancing the next generation of ophthalmic medical device technology, and we’re looking for a Project Manager who’s energized by complex, multidisciplinary engineering. You’ll join a team working at the…
As an SDE 2 on the Project Dawn team, you will design and operate large-scale distributed systems that leverage generative AI and LLMs to extract and structure product data for Amazon's shopping experiences. You will own the full development lifecycle, mentor team members, and collaborate with scientists to deploy AI-driven solutions at internet scale.
Reports to the Lead Technical Success Manager in the Programs and Services team within Mayo Clinic Platform (MCP). The Technical Success Manager is responsible for ensuring customers achieve maximum value from platform…
Data Scientist at Visa solves complex business problems using advanced data science techniques, AI/ML models (e.g., large language models, transformers), and data-driven frameworks, collaborating with cross-functional teams to integrate solutions and communicate insights. Core technologies include Python, TensorFlow, PyTorch, and scikit-learn.
Computer Vision AI Engineer training, testing, deploying, and maintaining ML models for mission-critical defense systems using Python, Rust, C++, CUDA, and transformer-based vision models (DINO, CLIP, SAM).
The Department of Neurology & Neurological Sciences at Stanford University School of Medicine is building a world-class program at the intersection of artificial intelligence and brain health. The laboratory of Dr.…
Senior ML Architect/Scientist – Telemetry and Log Analytics Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive…
Technical Staff, AI Architect - Agentic AI/GenAI Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic…
Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and…
About the Role RPMGlobal (RPM) is seeking a Computer Vision and machine learning Software Engineer to join our development team and develop algorithms that transform imagery, LiDAR, point clouds, and other sensor data…
We’re looking for a Senior Full-Stack Team Leader with proven track record of managing teams in an agile environment who loves shipping fast, owning big pieces of the stack, and building modern cloud services from the…
Lead end-to-end data exploration, analytics, and modeling on large-scale vehicle data, architecting optimized algorithms and developing agentic AI applications for software-defined vehicles using Python and ML/DL frameworks.
Senior Staff ML Engineer building and scaling ML infrastructure for LLM training, evaluation, and deployment at Moveworks (ServiceNow), working with PyTorch, vLLM, TensorRT-LLM, Python, and C++/GoLang.
Develop and implement ML-based prediction and planning algorithms for Nuro's Level 4 autonomous driving platform using Python, C++, and deep learning techniques like reinforcement learning and transformers.
An internship developing AI-driven autonomy software for Nuro’s Level 4 self-driving platform, focusing on data platforms, ML infrastructure, simulation, or technical infrastructure to enable scalable autonomous mobility solutions.
Architect and build scalable ML data pipelines, tooling, and active learning systems that transform petabyte-scale autonomy data into training signals for self-driving AI models, using C++ and Python.
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