231 jobs for "Machine Learning Manager"

Machine Learning Engineering Manager, Evaluation, Agentic Search Capabilities

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Manager, Machine Learning Engineering

At Apple

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Machine Learning Engineer 4 (Manager, IC)

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Applied Researcher 5 (AI Foundations: Evaluation and Agentic Workflows)

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Machine Learning Engineer, App Ads and Gaming

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Data Scientist - Corporate & Institutional Banking

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Data Scientist - Corporate & Institutional Banking

At PNC Financial Services Group - Cleveland

Posted on Oct 15

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At PNC Financial Services Group - Wilmington

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Engineering Program Manager, Apple Foundation Models, Engineering Tools

At Apple - Cupertino

Posted on Oct 19

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Sr. Engineering Program Manager, GPU and Graphics

At Apple - Cupertino

Posted on Oct 19

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Staff Software Engineer - Card Technology

At Capital One - New York · McLean

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Applied Researcher 5

At Capital One - San Jose · San Francisco

Posted on Nov 6

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Manager, Engineering Program Management - Strategic Data Solutions

At Apple - Austin

Posted on Oct 19

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SWE Engineering Program Manager - Strategic Data Solutions

At Apple - Austin

Posted on Oct 19

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Data Scientist - Corporate & Institutional Banking

At PNC Financial Services Group - Philadelphia

Posted on Oct 15

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Applied Researcher 4

At Capital One - San Jose · San Francisco

Posted on Nov 6

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Staff Applied Researcher (Remote Eligible)

At Capital One - Remote / Flexible

Posted on Nov 6

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Apple

Machine Learning Engineering Manager, Evaluation, Agentic Search Capabilities

Cupertino, CA$206,200 – $356,400Posted 26 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

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The Siri team is redefining how hundreds of millions of people access information across Apple devices, with privacy built in from the ground up. As part of the Agentic Search Evaluation team, you will help advance Apple Intelligence through personalized search, result ranking, and low-latency production services that power experiences across Siri, Spotlight, Safari, Messages, and more. Your team researches and builds deep search systems for Personal Question Answering, enabling Siri to answer questions about a user's emails, messages, events, files, and more, while keeping personal data private.

Description

We are looking for a Machine Learning Engineering Manager with a passion for building scalable, high-quality solutions to evaluate personalized search applications. In this role, you will directly shape how Apple assesses and improves the quality of Agentic Search - driving solutions across search quality, data quality, and both offline and online metrics to enable iterative product improvements. You will lead a team focused on evaluating Agentic Search experiences that power personalized Siri AI and enable answers to users' personal questions, with privacy at the forefront. Your team designs and builds evaluation systems, develops data generation and curation methods, and creates metrics frameworks for quality assessment and continuous improvement.","responsibilities":"Lead a team of applied machine learning and software engineers to design and build scalable, automated systems for end-to-end evaluation of personalized Agentic Search

Contribute to the design and implementation of offline and online metrics to assess quality at the product and component level for Personal Question Answering, and drive iterative improvement

Collaborate with partner teams to define data and evaluation requirements, set priorities, and identify opportunities to enhance the Personal Question Answering stack

Define the long-term technical vision for personalized Siri Search quality, identify gaps, and drive solutions as part of a broader roadmap

Preferred Qualifications

Experience designing and building production machine learning systems in search, natural language processing, recommendation systems, or information retrieval

Experience in data collection, data generation, or data quality assessment of language, image, or multimodal data

Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Statistics, or a related field, or equivalent industry experience

Minimum Qualifications

6 or more years of industry experience building machine learning or machine learning evaluation systems at scale

2 or more years of industry experience in technical leadership or management

Knowledge of machine learning fundamentals, neural network architectures, and software engineering in Python or C/C++

Communication and collaboration skills

Bachelor's degree in Computer Science, Engineering, Statistics, or a related 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 $206,200 and $356,400, 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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