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Machine Learning Engineer, Natural Language Generation (NLG)
Apple
Apple Seattle, WA
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$125k-158k (estimate)
Full Time | Retail 1 Day Ago
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Apple is Hiring a Machine Learning Engineer, Natural Language Generation (NLG) Near Seattle, WA

Summary

Posted:
Weekly Hours: 40
Role Number:200558098
On the Input Experience NLP team, we build the language models that underpin intelligent text input across Apple platforms, from keyboard auto correction to the Writing Tools and Smart Reply features announced at WWDC 2024. We believe that generative AI is an incredibly promising technology that can help people communicate effectively and express themselves clearly, and we have only just begun to incorporate this technology into our products. On our team, you will help build the future and have a voice in what shape it takes. We are looking for a Machine Learning Engineer to help our ML models grow even smarter and reason about personal context in a privacy-preserving way. You will build and refine the training and evaluation pipelines that define our slice of Apple Intelligence, driving the focused iteration that makes the user experience magical. You will join an ambitious, organized, and collaborative team in a unique position to integrate the latest innovations from the ML community and work on features that reach everyday users, including your family and friends. You’ll work closely with teams across Apple, collaborating on human interfaces, user studies, internationalization, ML technologies, system integration, and more.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.

Description

As a Machine Learning Engineer on our team, you will build and iteratively refine model pipelines that define the intelligent behaviors built deeply into the text input experience on Apple products. You will conduct experiments and create prototypes for new approaches to improve the quality of our models and add new dimensions to their intelligence. Finally, you will implement the building blocks and infrastructure that bring these innovations into our production pipelines.KEY RESPONSIBILITIES:Development and maintenance of modeling pipelines that scale to deployment in productionDefinition of robust automated evaluation metrics to facilitate hillclimbing model qualityFailure analysis to understand shortcomings of our modelsResearch into techniques for improving model behaviorCuration and synthesis of representative training and evaluation dataImplementation of experiments and simulations to assess the value of model changes

Minimum Qualifications

  • MS or PhD in Computer Science or related field with at least 2 years of industry experience
  • Strong Python programming skills, with experience developing production-quality Python modules
  • Solid background in machine learning, data science, natural language processing, or statistics

Key Qualifications

Preferred Qualifications

  • Experience building and maintaining model pipelines end-to-end, from data curation to evaluation
  • Ability to design and perform experiments that bring ML and NLP research ideas to production
  • Familiarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG
  • Excellent written and verbal communication skills
  • History of developing Python packages and supporting other users
  • Record of publications, innovations, and/or leadership
  • Background in linguistics, fluency in multiple languages, or a passion for scaling NLP features for global audiences

Education & Experience

Additional Requirements

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 $131,500 and $243,300, 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.

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Retail

SALARY

$125k-158k (estimate)

POST DATE

07/04/2024

EXPIRATION DATE

09/03/2024

WEBSITE

applegroup.com

HEADQUARTERS

JONESBORO, AR

SIZE

25 - 50

FOUNDED

1993

TYPE

Private

CEO

MARY MARGARET SCHOLTENS

REVENUE

<$5M

INDUSTRY

Retail

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Apple Group provides embroidery and screen printing.

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