Data Science & Machine Learning Jobs

You’ll contribute end to end by designing and validating deep learning approaches for large‑scale wearable time‑series and running rigorous evaluations on research and clinical datasets. Design, implement, and validate deep learning approaches for large‑scale physiological time‑series (e.

Exploring new modeling approaches and integrating machine learning and image processing methods. You are motivated by the prospect of continuous learning and growth, and you embrace new technologies such as machine learning, computational lithography, and advanced image processing. Our technology is

Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field - or equivalent practical experience. Direct experience with agentic systems, including tool use, environment design, or reinforcement learning. The vision for AIML FM Data organization is to improve Fou

Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks. Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods. Expertise in dat

Strong data analysis skills, including the ability to conduct deep dives using statistical methods and data science techniques. The role requires experience in areas such as predictive modeling (classification and regression), optimization, industrial engineering, demand forecasting, and time-serie

The ideal candidate will work collaboratively with experimental biologists and machine learning engineers, contributing to cutting-edge projects with significant scientific impact. A leading research organization in Palo Alto is seeking an experienced Machine Learning Research Scientist to develop l

As a member of the Cloud‑Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. We’re looking for an ASIC Design Engineer to help

Fluent in deep learning for multimodal time-series data (e. In short, you'll turn first-principles data science, neuroscience, cognitive science, and machine learning into a product that scales across industries. Our team has shaped the design, data, and systems behind some of the world's most iconi

Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models, as well as integrating to product use cases. Staff Machine Learning Engineer, Listings and Host Tools Data and AI. Work collaboratively with cross-functional partners

The ideal candidate will have a strong foundation in machine learning, statistical analysis, and causal inference. This role involves leading the design and deployment of advanced forecasting models and collaborating with finance teams. Responsibilities include mentoring junior scientists and implem

Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving models. Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data. N

We're looking for a Machine Learning Modeler to design and scale the next generation of intelligent systems that power data‑driven decision‑making across Block—from Cash App and Square to corporate domains like Treasury, Cost, and Accounting. Machine Learning Modeler, Advanced Insights & Model

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. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal

We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. Collaborate closely with researchers to explo

A dynamic robotics company is seeking a Machine Learning Engineer to enhance the capabilities of its robots through advanced deep learning solutions. This full-time role involves developing product features, monitoring model performance, and collaborating with diverse teams. Located in San Francisco

Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS, or experience in data mining/machine learning competitions (e. General Hire: Machine Learning Engineer (Data and Eng, USDS) - 5 Start (MS). Experience in recommendation systems, online advertising, information retrieval, natu

Ability to use Python/PySpark for exploratory data analysis and modeling. Machine Learning Data Scientists. Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.