Data Science & Machine Learning Jobs

You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. We’re hiring a

PhD or Master's degree w/ 6+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience. Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. We are responsible for developing the Chat AI assi

You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. In this role, you will help lead the evolution of AcuityMD's core healthcare data assets by applying statistical and machine

Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc. Role: Data Scientist – Mach

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

Job Summary We seek a hands-on leader for the team building the in silico components of ATLAS, spanning machine learning, data science, cheminformatics, and software engineering. Your team’s impact will span from the software foundations of ATLAS – tying our high-throughput chemistry and biology

Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications. Depth of technical understanding in cloud, big-data platforms and machine learning. EPM, Applied Machine Learning, AI & Data Platforms (AiDP).

Data Science Builder: 8+ years designing, building, and operating data science systems in production, with deep expertise in statistical modeling, experimentation design, and data pipeline engineering. Strong data science practice: reproducible pipelines, rigorous experimentation frameworks, product

We are seeking an experienced leader to lead a multidisciplinary team of analytics engineers, data scientists, and machine learning scientists and engineers who build the data products, algorithms, and systems that power title launch. Manager, Data Science & Engineering - Title & Launch Management.

Review and provide feedback on features, technology, architecture, designs, test strategies, and service reliability standards. MS/PhD in Computer Science, AI/ML, or related fields, or equivalent industry experience. We are looking for a senior ML engineering manager to spearhead our growing efforts

Relevant education, such as a major in Data Science, Business Analytics, or Computer Science. Minimum 5 years of experience as a project manager in relevant fields such as data science, semiconductor, manufacturing, or metrology. Minimum 5 years of experience as a project manager in relevant fields

Have 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields, emphasizing secure, large-scale, distributed system design and AI/ML pipeline and feature development. Join GoFundMe as our next Senior Manager, Machine Learning Engineering

Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network

We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations the kind of signal that makes ML genuinely useful, whether it's a clu

Engineering Manager, Borglet Machine Learning. Basic data analysis and SQL skills are valuable as well. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global N