Data Science & Machine Learning Jobs

Key Responsibilities Lead analysis efforts in petabyte-scale clusters of security data Prepare data streams for Machine Learning use cases and develop custom Machine Learning models Collaborate with Cybersecurity analysts to solve threat monitoring problems and improve security posture Required

Job Quick Facts: • Specialty: Obstetrics Gynecology • Job Type: Locum Tenens • Facility Location: Santa Rosa, CA • Service Setting: Inpatient • Reason For Coverage: Supplemental • Coverage Period: De

Up To $750/Week. Looking For Motivated Participants For Focus Groups Studies In San Francisc...

Position : Urologist Location : Windsor, CA MPLT Healthcare is looking for physicians who Understand the Urgency, Never Give Up, and Have the Courage to Excel in the forever changing medical industry!

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. Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.

PURPOSE AND SCOPE:The professional registered nurse Outpatient RN CAP 2 may be an entry level designation into the Clinical Advancement Program (CAP) for new employees who meet the RN CAP 2 criteria o

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We are seeking talentedStaff Machine Learning Engineers for multiple openings across our Core Engineering organization, including teams such as Search, Notifications, and Content & User Engineering. Design features and build large-scale machine learning models to improve user ads action prediction w

Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production. Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow. Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object

MS or PhD degree in Computer Science, Machine Learning, Statistics or related field. Strong software engineering and mathematical skills with knowledge of machine learning. Data Science and Product to set success criteria and measurement plans.

Click Through Rate and Conversion Rate prediction), including real-time data pipelines, feature engineering, model optimization, and innovation. Experience with deep learning frameworks such as TensorFlow or PyTorch. Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS, or exper

Hands‑on experience with deep learning frameworks (PyTorch, TensorFlow) and large‑scale ML infrastructure. We are looking for a Machine Learning Engineering Manager to lead this team of world‑class ML engineers and help shape the future of AI in the public sector. Graduate degree in Computer S

AI, Data Science, and/or Machine Learning. Technology – Data and Decision Science – AI Native Engineering. Understanding of data structures, data modelling and software engineering best practices.

Proven experience in recruiting, mentoring, leading design discussions, and influencing data science and machine learning best practices across teams. We bring together world‑class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists — all work

End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Machine Learning Engineer, Monetization Engineering. Build cutting edge technology using the latest advances in deep learning and machine learning to personaliz

Introduction to Machine Learning Staff TA – College of Engineering – Integrated Innovation Institute Carnegie Mellon University is a private, global research university known for its world‑leading work in brain science, engineering and entrepreneurship. The Integrated Innovation Institute at C

Build and maintain scalable, efficient data pipelines across the training data lifecycle. CS, Data Science, Engineering, AI/ML, or related field-or equivalent experience. Proficiency with cloud data tech (AWS, Azure, GCP, Spark, Databricks, Snowflake).

We bring together world‑class data engineers, platform engineers, machine learning engineers, analytics engineers and data scientists – all working in harmony to transform raw information into secure, reliable and actionable intelligence. PhD) applying data science and machine learning to financ

Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in Deep Learning, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics). Consumer Identity ML is the data science and machine learning team inside Capital One��