Data Science & Machine Learning Jobs

Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks. Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods. We're seeking an AI Data and Python Tools Engineer to develop and deploy int

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production. Data & storage: SQL/NoSQL, vector stores (FAISS/Milvu

Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization mod

Drive engineering excellence by defining software standards, leading code reviews, and building reusable Python libraries for the broader team. At Roche's AI for Drug Discovery (AIDD) group, we are revolutionizing drug discovery with cutting-edge machine learning (ML) techniques. Backend Engineering

Use Python to manipulate and prepare data; create visualizations; analyze data. Data Analyst (Tableau, SQL, Python). Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years.

You will have responsibilities ranging from machine learning for data exploration, advanced statistical modeling, tuning and adapting deep learning models, and evaluating their performance. Masters or PhD in Computer Science, Machine Learning Engineering or equivalent professional experience. Hands-

As a Machine Learning Engineer in the International Data Engineering team, you will join a phenomenal team of passionate engineers to design, implement and qualify Apple Intelligence features globally across a wide variety of Apple's products. Hands-on experience with handling large datasets and dev

End‑to‑end hands‑on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Use data driven methods and levera

Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation

You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI. Expertise in one or more of the following areas: multimodal machine l

Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Machine Learning Engineer | Python | Pytorch | Distribute

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. Clear experiences with constructing high quality data to use to i

A pioneering AI-powered biology firm is seeking a hybrid role focused on transitioning research to production by deploying models and managing data pipelines.

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

Your Expertise: PhD/Master’s degree, preferably in CS, or equivalent experience 6/9+ years of ML engineering experience, with ownership responsibility over large-scale software systems Background in the design and development of AI and ML systems and services, and a deep passion for building effic

Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Machine Learning best practices (eg. Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunit

End‑to‑end hands‑on experience with building data processing pipelines, large‑scale machine learning systems, and big data technologies (e. Build cutting‑edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Use data‑driven methods and

End‑to‑end hands‑on experience with building data processing pipelines, large‑scale machine learning systems, and big data technologies (e. Degree in computer science, machine learning, statistics, or related field. Build cutting edge technology using the latest advances in deep learning and

Have 4+ years of software engineering experience Like working on systems and tools that make other people more productive Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to lea