Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted yesterday

Machine Learning Research Engineer, Pretraining Data — Foundation Models

Apple6,118 open roles

Where
Cupertino, United States of America
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowMachine Learning Research Engineer, Pretraining Data — Foundation ModelsApple · Cupertino, United States of America

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Apple's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market. Apple postings stay open a median of 31 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted yesterday

Apple median: 31 days open

The posting

Summary

Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We're seeking skilled Machine Learning Engineers to transform cutting-edge research into scalable, production-ready AI solutions. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.

Apple's Foundation Models team is building the next generation of large language models that power intelligent experiences across Apple products. High-quality, diverse, and scalable training data is fundamental to advancing model capabilities in knowledge, reasoning, coding, and multilingual understanding.

We are seeking talented and motivated Research Engineers to advance the state of the art in pretraining data research and engineering. In this role, you will develop novel algorithms and scalable systems for data curation, quality assessment, and optimization, working closely with model training researchers to translate innovative ideas into measurable improvements in foundation model capabilities.

This position offers a unique opportunity to work at the intersection of cutting-edge machine learning research and large-scale systems engineering, with direct impact on the development of next-generation foundation models.

Description

As a Research Engineer on the Pretraining Data team, you will own technically challenging projects spanning research, algorithm development, experimentation, and production engineering.

You will investigate new approaches to improving training data quality, diversity, and efficiency, while building robust and scalable infrastructure to support the processing of massive datasets. You will collaborate closely with model training teams to understand the relationship between data and model capabilities, design controlled experiments, and continuously improve pretraining strategies.

Responsibilities

Research, design, and implement novel algorithms for large-scale pretraining data curation, including quality filtering, deduplication, data selection, and mixture optimization. Build and optimize scalable data processing systems capable of handling trillions of tokens across diverse data sources. Develop machine learning-based approaches for data quality assessment, synthetic data generation, and data efficiency optimization. Collaborate with foundation model researchers to design and execute training experiments, analyze model performance, and identify opportunities for improving model capabilities. Investigate the relationship between training data characteristics, model scaling, training dynamics, and downstream evaluation results. Translate research prototypes into efficient, reliable, and production-ready data systems. Stay current with advances in foundation model research and apply emerging techniques to practical data challenges.

Minimum Qualifications

BS, MS, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience. Strong programming skills in Python and proficiency in developing production-quality software. Experience with large-scale data processing, distributed computing, or machine learning systems. Solid understanding of machine learning fundamentals and modern deep learning architectures. Strong analytical and problem-solving skills, with the ability to independently investigate complex technical challenges.

Preferred Qualifications

Experience with LLM pretraining, training data research, or foundation model development. Experience designing and implementing scalable data processing pipelines using Spark, Ray, or similar distributed computing frameworks. Hands-on experience with PyTorch, model training, and experimental evaluation. Familiarity with data filtering, deduplication, data mixture optimization, and learned data quality signals. Understanding of scaling laws, training dynamics, and the relationship between data and model performance. Experience with synthetic data generation, data selection, or model-based data evaluation. Demonstrated ability to translate research ideas into scalable production systems. Publications or meaningful contributions to machine learning research or open-source projects.

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.

EEO Statement

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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

Accessibility

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Apple's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Apple's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Apple's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.