5,396 jobs for "information technology"

AIML - Machine Learning Engineer, Answers Knowledge and Information

At Apple - Cupertino

Posted on Oct 14

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Senior Lead - Experience Design

At Infosys - Hong Kong

Posted on Oct 30

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Lead IA Specialist Engineer

At Deloitte - Rosslyn

Posted on Oct 29

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AIML - Machine Learning Researcher, Data and ML Innovation

At Apple - Santa Clara

Posted on Oct 14

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AIML - Machine Learning Researcher, Data and ML Innovation

At Apple - Santa Clara

Posted on Oct 14

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Technical Project Manager - Risk, Controls, and Resiliency

At JPMorgan Chase - Jersey City

Posted on Sep 23

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TA Talent Community

At Konica Minolta Business Solutions - Ramsey

Posted on Nov 6

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Associate Director R&D Lab Platform

At CSL

Posted on Oct 30

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Office Systems Specialist

At Konica Minolta Business Solutions - Nottingham

Posted on Oct 29

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Production Technical Support Operator

At Konica Minolta Business Solutions - Fulton

Posted on Oct 22

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Solutions Account Executive

At Konica Minolta Business Solutions - South Burlington

Posted on Sep 29

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In-House Technician (Entry Level)

At Konica Minolta Business Solutions - Wilmington

Posted on Sep 18

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In-House Technician

At Konica Minolta Business Solutions - East Norriton

Posted on Sep 16

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Intelligence Analyst

At SpaceX - Washington

Posted on Sep 29

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Intelligence Analyst

At SpaceX - Bastrop

Posted on Sep 29

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Senior Manager, Technology and Business Strategy

At Charles Schwab - Austin

Posted on Oct 22

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Manager, Cyber Security - Information Security Office Consultant

At Capital One - McLean · Plano

Posted on Oct 9

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VP/AVP, FICC eTrading Software Engineer, Global Markets Technology

At Bank of America

Posted on Aug 31

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Technology Internal Audit Lead

At TikTok - Los Angeles

Posted on Aug 8

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Technology Internal Audit Lead

At TikTok - San Jose

Posted on Aug 7

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Apple

AIML - Machine Learning Engineer, Answers Knowledge and Information

Cupertino, CA$150,400 – $277,600Posted 25 days ago

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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 state-of-the-art generative AI technologies based on Large Language Models 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 research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. 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 and conduct applied research to transfer the cutting edge 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 highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands-on experience in fine-tuning deep learning and large language models.","responsibilities":"Conduct research and development on state-of-the-art deep learning and large language models for various tasks and applications in Apple's AI-powered products

Developing, fine-tuning, and evaluating domain-specific Large Language Models for various NLP tasks including summarization, question answering, search relevance/ranking, entity linking and query understanding problems

Conducting applied research to transfer the cutting edge research in generative AI to production ready technologies

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

Stay up to date with the latest advancements and research in deep learning and large language models

Preferred Qualifications

PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

At least 2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas -- Supervised Fine-tuning (SFT) with Rejection Sampling, Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.), Parameter efficient fine-tuning techniques (e.g LoRA), Hallucination reduction and factual accuracy improvements, Designing and implementing safety guardrails

At least 10 years of experience leading complex cross-functional projects and influencing research direction

At least 10 years of experience with large-scale model training, optimization, and deployment

Consistent track record of researching, inventing and/or shipping advanced machine learning models

Outstanding communication and interpersonal skills with ability to work with cross-functional teams

Minimum Qualifications

10 years of work experience in machine learning, deep learning or related field

Experience in modeling user behavior including personalization, online learning and recommendation systems

Experience working with machine learning or LLM model development for various NLP tasks and RAG applications including prompt engineering, training data collection and generation, model fine-tuning and model evaluation

Experience working with Python and at least one of the deep learning frameworks such as TensorFlow, PyTorch, or JAX

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 $150,400 and $277,600, 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

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