Data Science & Machine Learning Jobs

A leading research organization in Palo Alto is seeking an experienced Machine Learning Research Scientist to develop large-scale models for biological research. The ideal candidate will work collaboratively with experimental biologists and machine learning engineers, contributing to cutting-edge pr

Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Machine Learning best practices (eg. Hive) Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models, as well as i

Position Overview 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. Deep understanding and prac

The project scientist will make significant and creative contributions in the area of machine learning & data analytics. Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks. Expertise in databases, data infrastruct

Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our dri

Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience. Knowledge of metric design, experimentation methodologies, and large-scale data analysis. Experience with state-of-the-art control systems, reinforcement learning algorithms.

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. We collect, retain and use personal data for our professional bus

PhD new grads or MS grads with 1-3 years of experience in applied machine learning, familiar with one or more algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep, etc. Ex

The role involves leading the design and deployment of large-scale time series forecasting models and continuously enhancing forecasting strategies using advanced machine learning methods. A leading analytics firm is seeking a mid-senior level Data Scientist in Sunnyvale, CA. Proficiency in Python,

We are an ambitious and rapidly growing team pushing the boundaries of what is possible in robotics, leveraging recent, cutting-edge breakthroughs in machine learning-enabled, data-driven robotics. Machine Learning libraries: Pytorch, Jax, model and data parallelism. Docker, Kubernetes) for running

With our proprietary identity data assets and deep domain expertise, we are uniquely positioned to expand into a broader set of AI-powered solutions that drive long-term growth. Ideally you have shipped external-facing models in the risk/fraud space and know the messy realities of imbalanced data, l

Ability to use Python/PySpark for exploratory data analysis and modeling. Machine Learning Data Scientists. Experience in modern deep learning architectures and probabilistic models.

Big Data Test Analyst with experience in Hadoop, Hive, UNIX and good communication. Candidate should have minimum 4 years of experience with Big Data Testing.

This role requires extensive experience with big data and strong backend service skills. A leading tech staffing firm in San Francisco is seeking a Senior Data Engineer/Back-end Engineer.

Strong foundation in computer vision, including experience with deep learningbased vision models and at least one area such as detection, segmentation, 3D vision, geometric methods, tracking, or self-supervised learning. Machine Learning Engineer Computer Vision & Data Systems. We are seeking a Mac

This is a strategic seat at the table for a recruiter who has spent their career deeply embedded in recruiting for one or more of the following areas; Applied Science, Machine Learning, and/or Data Science and hiring at a company where the bar for talent is set at the top of the market for the next