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Apple, Inc.
Sunnyvale, CA, United States
Summary Posted: Jun 26, 2024 Weekly Hours: 40 Role Number: 200555467 Do you want to work on building groundbreaking Machine Learning (ML) technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no
Job Source: Apple, Inc.Apple
Sunnyvale, CA, United States
Machine Learning Scientist/Engineer, Applied Machine Learning Sunnyvale,California,United States Corporate Functions Do you want to work on building groundbreaking Machine Learning (ML) technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring pass
Job Source: AppleApple Inc.
Sunnyvale, CA, United States
Machine Learning Scientist/Engineer, Applied Machine Learning Do you want to work on building groundbreaking Machine Learning (ML) technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling w
Job Source: Apple Inc.Coactive AI
San Jose, CA, United States
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and under
Job Source: Coactive AISlab Inc.
Palo Alto, CA, United States
We are looking for experienced and accomplished Applied Scientists for Machine Learning (ML). You are supposed to be strong in both practical R&D and fundamentals with deep and broad expertise in several or at least a few applied science disciplines. You should have a good understanding of the state-of-the-art ML algorithms and methods, exceptional
Job Source: Slab Inc.Coactive AI
San Jose, CA, United States
Applied Machine Learning research scientist you will work coactively with the best in Machine Learning and data systems, building the foundation for understanding unstructured image and video data. What you’ll do: Conduct thorough market research to identify potential technological differentiators in the landscape of machine learning products. Fo
Job Source: Coactive AICoactive AI
San Jose, CA, United States
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and under
Job Source: Coactive AIApple
Sunnyvale
Machine Learning Scientist/Engineer, Applied Machine Learning Sunnyvale,California,United States Corporate Functions Do you want to work on building groundbreaking Machine Learning (ML) technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion
Job Source: ApplePalo Alto, CA, United States
Does working with real data and having an impact on the small businesses that are the backbone of the US economy excite you? Do you want to be a thought leader in the Payment space by stretching boundaries with innovative Fraud solutions ?
J.P. Morgan Chase Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries.
As part of Trust & Safety within the Payments Organization, you will be involved in developing machine learning models that facilitate safe & secure SMB payments by detecting and mitigating Fraud Risk. You will experiment with various relevant Al & ML algorithms and techniques to build best-in-class solutions as part of the organization that oversees several trillion dollars of Wire/ACH transactions and hundreds of millions of card transactions.
Job Responsibilities
Build machine learning systems and models for detecting payment fraud, merchant fraud, and merchant risk
Research and analyze large data sets using advanced exploratory techniques and communicate findings to key stakeholders
Drive and own the complete lifecycle from data extraction, model development through model deployment and production evaluation/maintenance
Design and Implement Knowledge graph capturing information from various 3rd party/partner data sources and relationships therein
Collaborate closely with Business, operations and Product teams to devise effective Risk and Fraud solutions.
Bring an AI/ML first thinking to our Fraud/Risk solutions and thus achieving operational excellence.
Design and Implement Knowledge graph capturing information from various 3rd party/partner data sources and relationships therein
Collaborate closely with Business, operations and Product teams to devise effective Risk and Fraud solutions.
Required Qualifications, Capabilities and Skills:
MS or Ph.D. in Machine Learning, Data Science or related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Physics, Artificial Intelligence
In-depth understanding of machine learning and modeling algorithms such as decision trees, random forest, neural networks, graph models
Technical expertise in data preprocessing, feature extraction, model building, and statistical analysis
Proficiency in databases (SQL), and programming languages (at least one of the following: Python or Java)
3+ years experience with machine learning APIs and computational packages like XgBoost, Pandas, TensorFlow, Scikit-Learn, NumPy, SciPy
5 + years of experience with big-data technologies such as Hadoop, Spark, Flink.
Preferred qualifications, capabilities, and skills
Past AI/ML experience in Payments is a big plus.
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Email Alert for Lead Applied Machine Learning Scientist jobs in Palo Alto, CA, United States
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