104 jobs for "Applied Machine Learning Scientist"

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Sr. ML Optimization Engineer, iCloud

At Apple - Culver City

Posted on Oct 12

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At Apple - Culver City

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Sr. ML Optimization Engineer, iCloud

At Apple - Culver City

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AIML - Machine Learning Engineer, Visual Intelligence Technology

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AIML - Machine Learning Engineer, Visual Intelligence Technology

At Apple - Santa Clara

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Data Scientist, PGC Traffic Strategy and CRP - TikTok

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AI Engineer 4 (AI Foundations: World Model, RL, Causal Inference, Sequential Data)

At Capital One - McLean · Cambridge

Posted on Nov 8

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Intern, R&D Graduate Summer - Computer Science Research Institute (CSRI), CA, Hybrid

At Sandia National Laboratories

Posted on Oct 28

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Senior Data Scientist - Supply Chain Optimization, ITC

At Nike

Posted on Oct 29

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AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)

At Capital One - McLean · San Francisco

Posted on Nov 8

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Apple

AIML - Machine Learning Researcher, Data and ML Innovation

Santa Clara, CA$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 ›

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple's devices and services on the cloud.

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

As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:

- Analyzing search ranking and relevance requirements, issues and opportunities

- Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple's AI powered products

- Conducting applied research to transfer the pioneering research in generative AI to production ready technologies

- Understanding product requirements, translate them into modeling tasks and engineering tasks

- Building machine learned models for search relevance, ranking and query understanding problems

- Integrating search functions into Apple products, such as; Siri, Spotlight, Safari, Messages, Lookup, etc.

- Building end-to-end production system including query understanding and ranking to power search

- Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing

Preferred Qualifications

Excellent data analytical skills

Good interpersonal skills and team player

PhD preferred

Minimum Qualifications

PhD, MS or equivalent experience

Experience in machine learning, deep learning, information retrieval, natural language processing or data mining

Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.

Proficiency in one of following languages: Python, Go, Java, C++

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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