26 jobs for "Lead, User Intelligence Research"

Lead, User Intelligence Research

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Posted on Aug 16

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Machine Learning Manager, Visual Generation Foundation Models

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AIML - Quality Engineering Manager, Responsible AI and Safety

At Apple - Cupertino

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AIML - Machine Learning Engineer, Visual Intelligence Technology

At Apple - Santa Clara

Posted on Oct 17

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Applied Researcher, Vision Language Models/VLM - TikTok

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Posted on Nov 22

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Senior Engineering Manager, Agentic AI & Intelligent Reasoning

At Apple - Santa Clara

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Senior Machine Learning Engineer

At Apple - Cupertino

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Director of Algorithms, Ads Engineering

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AIML - Machine Learning Research

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Posted on Oct 9

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AIML - Machine Learning Manager, Red Teaming - Responsible AI and Safety

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Posted on Oct 7

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AIML - Machine Learning Engineer, Visual Intelligence Technology

At Apple - Santa Clara

Posted on Oct 17

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Senior Machine Learning Engineer

At Apple - Cupertino

Posted on Oct 16

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AIML - Machine Learning Engineer, Visual Intelligence Technology

At Apple - Santa Clara

Posted on Oct 11

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AIML - Machine Learning Engineer, Visual Intelligence Technology

At Apple - Santa Clara

Posted on Oct 11

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Senior Engineering Manager, Agentic AI & Intelligent Reasoning

At Apple - Santa Clara

Posted on Sep 27

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Associate, Application Deployment Engineer

At BlackRock - Atlanta

Posted on Nov 1

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Lead Data Scientist

At Nike - Beaverton

Posted on Nov 4

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Manager, Cyber Security Product Manager, Cyber Intelligence

At Capital One - McLean · Plano

Posted on Oct 25

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Vice President, Technology Product Manager

At BlackRock - London

Posted on Sep 25

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Apple

AIML - Machine Learning Engineer, Visual Intelligence Technology

Santa Clara, CA$205,400 – $308,500Posted 22 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something, you'll add something.

In Visual Intelligence Technology team, we work hard to bring the best user experiences powered by Apple Intelligence. We leverage cutting-edge technologies like Visual Search and LLM to empower user-facing features like Visual Look-up and Visual Intelligence in camera and photos. We also advance our technology innovation in Visual Intelligence Technology and Multimodal Foundation Model for longer-term ambitious goals.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Description

In Visual Intelligence Technology team, we work hard to bring the best user experiences powered by Apple Intelligence. We leverage cutting-edge technologies like Visual Search and LLM to empower user-facing features like Visual Look-up and Visual Intelligence in camera and photos. We also advance our technology innovation in Visual Intelligence Technology and Multimodal Foundation Model for longer-term ambitious goals.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Preferred Qualifications

Has iOS / MacOS development experience

Experience with optimizing performance on resource constrained devices

Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch...)

Experience with graphics development: OpenGL, Metal, Vulcan or neural engine integration / optimization

Experience with OpenGL and/or OpenCL programming

Minimum Qualifications

MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field

7+ years of experience in machine learning, deep learning, information retrieval, natural language processing or data mining

5+ years of experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs

Experience being a tech lead, and has been successfully leading a team to ship software to users

Excellent knowledge and good practical skills in designing ML platforms, architectures or algorithms

Strong interpersonal skills able to work independently as well as in a team

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $205,400 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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