161 Jobs in San Francisco, California

Cloud Analytics Technologies LLC

Senior Machine Learning Engineer

San Francisco, California

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Broadmead Medical Services Inc

Senior Data Scientist

San Francisco, California

Full Time

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Perkins Eastman

Project Manager II - Healthcare

San Francisco, California

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Cloud Big Data Technologies

Interactive Voice Response (IVR) Developer

San Francisco, California

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Tephra

Position Details: Workday Studio Integrations Lead-Workday Benefits Administration

San Francisco, California

Full Time

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ISN Corporation

Recall Audit Inspector

San Francisco, California

Full Time, Contractor

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SKECHERS

Retail Assistant Store Manager (Full Time) - San Francisco

San Francisco, California

Full Time

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Splice

Product Designer

San Francisco, California

Full Time

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Square, Inc.

Senior Machine Learning Engineer (Modeling) - Underwriting and Credit

San Francisco, California

Full Time

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Square, Inc.

Senior Machine Learning Engineer - Underwriting & Credit

San Francisco, California

Full Time

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Cloud Big Data Technologies

Director, Billing Operations

San Francisco, California

Full Time

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DAVITA

Manager, Nurse Practitioner in San Francisco/Sacramento/Vacaville, CA

San Francisco, California

Full Time

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Tephra

Position Details: Business Development Director-Technology Business Unit (TBU) sal

San Francisco, California

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Square, Inc.

Decision Scientist - Dispute Automation

San Francisco, California

Full Time

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Cloud Big Data Technologies

Android Engineer, International

San Francisco, California

Full Time

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Square, Inc.

Software QA Engineer

San Francisco, California

Contractor, Full Time

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Elgen Manufacturing Company, INC

Field Service Technician

San Francisco, California

Full Time

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Tephra

Position Details: Procurement and Supply Chain Business Development DIrector

San Francisco, California

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Cloud Big Data Technologies

Cloud Analytics Technologies LLC

Senior Machine Learning Engineer

San Francisco, California

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Job Description

Responsibilities:

- Training machine learning models over billions of data points. Quantifying predictive uncertainty using probabilistic and Bayesian methods. Creating models that quickly generalize to new tasks using few-shot and meta- learning.

- Training agents that execute decisions to optimize a reward over time. Implementing state-of-the-art model-based planning and reinforcement learning algorithms, including offline and off-policy methods that learn from human demonstrations.

- Scaling machine learning systems to massive datasets using big data technologies such as Spark and Hadoop.

- Building visualization and data exploration tools that automate the analysis and debugging of machine learning models.

Requirements:

- 5+ years working experience

- Masters or PhD in computer science, or equivalent.

- Proficiency with the Python machine learning stack, including numpy, scipy, pandas, scikit-learn, matplotlib, tensorflow, keras, pytorch (not all required, more the merrier).

- Bonus points for Spark, Hadoop!

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