Remote Data Jobs • Deep Learning

We are seeking a Data Scientist to design, build, and optimize advanced recommendation and personalization systems, owning the end-to-end machine learning lifecycle—from exploration and model development to production deployment and monitoring—delivering scalable AI solutions that directly impact customer experience.

Lead research efforts on generative video and audio models, working with the Applied ML team to help productionize our research and stay relevant with the latest advancements. The ideal candidate works well in startup environments, is comfortable prioritizing for themselves, and is always down to take calculated risks.

Train and integrate Machine Learning and Deep Learning models and techniques including NLP, BERT, Transformers, Encoders, RAG, LLMs, and Agents. You will also develop machine learning pipelines, define and implement the metrics and evaluation of ML models, as well as apply statistical methods and hypothesis tests and perform data analysis and develop pipelines for processing big data.

The Diffuse Project is seeking a Machine Learning Scientist to join a multidisciplinary team. You will be developing machine learning methods to extract hidden functional states from experimental structural biology data. This role involves designing, training, and deploying open-source ML models that learn directly from experimental X-ray crystallography data.

In this role, you will be a member of the ML Chapter and work with the Mapper team. Mimica Mapper is one of our main products that creates intuitive flowcharts that map out user and team workflows. Its architecture includes components designed to detect task similarities. As part of Mapper’s continuous development, we aim to automate these components to enhance scalability.

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas. Use data driven methods and leverage the unique properties of our data to improve candidates retrieval.

We are seeking a highly skilled and experienced Senior Machine Learning Scientist to drive the development and implementation of DASH, an AI/ML platform for ADME-Tox prediction, designed to reduce reliance on animal testing in preclinical drug development. The role involves close collaboration across Peptilogics’ R&D team.