Data Science & Machine Learning Jobs

Engineer features and conduct applied research across time-series, geospatial, demographic, insurance claims, and more datasets, to improve the coverage and signal quality of our core data assets. You have 6+ years of experience in machine learning roles building and shipping statistical or machine

As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every

Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent). We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. Data Analysis & Feature Engineering.

Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products. Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. We are responsible for developing the Chat AI assistant, Voice AI A

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

Remove extra metadata from the top of the page. Remove any mention of posted date/time.

As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation syste

Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit‑learn. Job Description: Title: Machine Learning/Computer Vision Research Scientist Job Location: 2535 Augustine Drive, 3rd Floor, Santa Clara, CA 95054 Duties: Research and implement advanced

Machine Learning Data Scientists. Ability to use Python/PySpark for exploratory data analysis and modeling. Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behaviors to inform future product strategies.

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

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

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. Have 3+ years of experience managing teams of machine learning enginee

Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Engineering Man

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

At Colliers Engineering & Design, our people are our most important resource. Apply today to learn how you can join our team of professionals, so we can help you Accelerate Your Success!. Discuss discipline and project objectives, requirements and budgets with clientele, design staff, and senior lea