Data Science & Machine Learning Jobs

What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scie

Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisa

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

Data Analyst (Tableau, SQL, Python). Use Python to manipulate and prepare data; create visualizations; analyze data. Clients focus more on Business Intelligence skills, less complex analysis.

You will have responsibilities ranging from machine learning for data exploration, advanced statistical modeling, tuning and adapting deep learning models, and evaluating their performance. You will apply innovative machine learning methods and statistical analysis to continually advance Siri's capa

The ideal candidate will have a strong foundation in machine learning, statistical analysis, and causal inference. Responsibilities include mentoring junior scientists and implementing systems in production, enhancing strategies, and advancing causal modeling frameworks.

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. User Listing Marketplace Intelligence Machine Learning (ULM-ML) team: The ULM-ML team supports host personalization produc

Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation

This role focuses on building a scalable big data platform to support real-time and batch data processing. Candidates should have at least 3 years of software engineering experience and 2 years in data engineering, possess strong problem-solving skills, and have expertise in Big Data technologies li

The ideal candidate will evaluate machine learning models and apply statistical analysis to validate changes while building backend infrastructure for map data. Computer Science or a related field with over three years of experience in data processing frameworks.

Research Artificial Intelligence. We are looking for a researcher to join our team in the field of artificial intelligence. The ideal candidate will have a strong background in machine learning and a passion for developing innovative solutions.

Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Build large high quality dat

In this role, you will contribute to the development of next-generation real-time sensing and data intelligence systems by designing algorithms, building scalable data pipelines, and collaborating with multi-functional teams to deliver high-impact, production-quality solutions. We are seeking a Mach

We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and

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.

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Delivering with Uber is a great way to supplement your part time or full time income. Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly. Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requir

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly. Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Delivering with Uber i

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.

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