113 jobs for "Applied Scientist"

Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480

At TD Bank - Montréal · Toronto

Posted on Oct 24

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Senior Machine Learning Engineer / Senior Applied Scientist, Search & AI

At Apple - Bengaluru

Posted on Oct 19

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Multimodal AI Applied Scientist, SIML - ISE

At Apple - Cupertino

Posted on Oct 19

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Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)

At TD Bank - Toronto

Posted on Oct 23

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Applied AI Scientist - Multimodal Intelligence

At Apple - Seattle

Posted on Oct 17

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Applied Machine Learning Scientist II

At TD Bank - Toronto

Posted on Oct 21

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Applied Machine Learning Scientist

At Apple - Cupertino

Posted on Oct 17

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Senior Applied Machine Learning Scientist (predictive analytics)

At TD Bank - Toronto

Posted on Oct 14

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AIML - Sr Applied AI Scientist - GenAI Model Autograding, Evaluation

At Apple - Cupertino

Posted on Oct 16

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Sr. Applied Scientist, AI Evaluation & Quality Systems

At Apple - Seattle

Posted on Oct 15

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Applied Data Scientist - Operations Decision Intelligence

At Apple - Seattle

Posted on Oct 15

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Research Scientist, Applied Machine Learning Security (Agent Systems), SEAR

At Apple - Cupertino

Posted on Oct 14

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Data Scientist, Applied AI & Insights

At Apple

Posted on Oct 12

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Applied Research Scientist, Proactive Intelligence, - Agentic Systems and Generative Modeling

At Apple - Cupertino

Posted on Oct 12

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Staff Applied Scientist, UI Control Models

At Apple - Cupertino

Posted on Oct 12

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Data Scientist, Applied AI & Insights

At Apple

Posted on Oct 11

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Applied AI Scientist - Multimodal Intelligence

At Apple - Seattle

Posted on Oct 17

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Applied AI Scientist - Multimodal Intelligence

At Apple - Seattle

Posted on Oct 16

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Senior Product Manager - Data, Machine Learning & GenAI Platform

At Adyen - Amsterdam

Posted on Oct 27

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Analytics Specialist, Associate, Portfolio Analytics Group (PAG)

At BlackRock - New York

Posted on Nov 7

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Apple

Applied AI Scientist - Multimodal Intelligence

Seattle, WA$142,300 – $263,300Posted 24 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 ›

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an Applied AI Scientist to work on the field of Generative AI and multimodal foundation models. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community. Our publications span multimodal pre-training, vision-language models, video-language models, and multimodal alignment. We are focused on building experiences that demonstrate the power of our sensing hardware as well as large foundation models.

Description

This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research, conducting applied research experiments, and working with engineering teams to transform promising approaches into robust solutions, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.

Preferred Qualifications

PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field.

Demonstrated expertise in deep learning, with either: A publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV,COLM, etc), or a strong track record of applying deep learning techniques to real-world products.

Experience with foundation models (language or multimodal).

Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage.

Experience fine-tuning or optimizing large models for production deployment.

Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning.

Familiarity with privacy-preserving or on-device machine learning.

Ability to work effectively in a multi-functional, collaborative environment.

Minimum Qualifications

Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.).

Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.

Experience with rapid prototyping, reproduction, and validation of research ideas.

Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.

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 $142,300 and $263,300, 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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