Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks. The project scientist will make significant and creative contributions in the area of machine learning & data analytics. Expertise in databases, data infrastruct
Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. PhD in Machine Learning, Computer Science, or related areas. In this role, you'll get to work wi
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads. Build cutting
Technology – Data and Decision Science – AI Native Engineering AI/Machine Learning Engineer, Manager Consultant The opportunity Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. You will enhance data pipelines and stor
You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, a
As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. Build synthetic data pipelines to generate enterprise environments to use for RL post-training. You'll also receive benefits including, but not limited to: Compreh
OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch Experience with natural language processing and deep learning Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for
Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability. Experience leading and working on a large-scale production recommendation, e-commerce, search or ads sy
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Degree in computer science, machine lear
Applied Machine Learning Developers, Data Scientists, and Software Developers responsible for end‑to‑end development and deployment of AI/ML products—including but not limited to predictive & prescriptive maintenance models, intelligent work recommendations, LLM‑driven procedures, and real��
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Degree in computer science, machine learning, statistics, or related field. In this role, you will be responsible for developing and executing a vision for the
Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience. Experience with state-of-the-art control systems, reinforcement learning algorithms. By leveraging large-scale behavioral data, creative features, and contextual signals, we continuously improve the re
You’ll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that shape the future of the physical world. Staff Machine Learning Data Engineer. ML , including distributed systems, data extraction, transformation, and loading, and large
Computer Science, Machine Learning, Artificial Intelligence, or a closely related technical field, or equivalent practical experience. Apple’s Sales Engineering Rapid Application Development (RAD) team is looking for a Machine Learning Engineer to build intelligent, scalable solutions that power A
In this role, you’ll work at the intersection of machine learning research and product engineering—rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. As a Machine Learning Engineer on our team, you wil
AIML - Machine Learning Research Engineer, Data and Machine Learning Innovation. Master or PhDs Degree in Computer Science, Machine Learning, Data Science or a related field. Data: be obsessed with data quality, work with large amounts of data and build effective data processing steps that are prove
You are comfortable using Python and have experience with common ML frameworks such as PyTorch or TensorFlow, along with basic data processing workflows. You have at least two years of experience working in machine learning, applied AI, or data science. As a Machine Learning Engineer, you will contr