AIML - Sr. Machine Learning Engineer, Foundation Model Training - ML Platform & Technology

Apple; Santa Clara (CA); On-site; USD 175,000 - 313,000; Full time

Job summary

Join a forward-thinking company as a Sr. Machine Learning Engineer where you'll build cutting-edge infrastructure for training foundation models. This role offers the chance to work with large-scale systems, processing trillions of links to enhance user experience across various Apple products. You'll collaborate with a passionate team dedicated to pushing the boundaries of deep learning, ensuring efficiency and flexibility in systems that delight millions. If you're eager to make a significant impact in the tech world, this opportunity is perfect for you.

Benefits

Comprehensive Medical Coverage

Dental Coverage

Retirement Benefits

Employee Stock Purchase Plan

Tuition Reimbursement

Discounted Products

Free Services

Discretionary Bonuses

Relocation Assistance

Qualifications

• Strong coding skills in C++ or Python.
• Extensive experience in applied machine learning and modeling.
• Strong background in computer science and data structures.

Responsibilities

• Design and build infrastructures for Apple products.
• Analyze data to improve link selection and retrieval rates.
• Work with large-scale systems and petabytes of data.

Skills

C++

Python

Applied Machine Learning

Modeling and Productization

Computer Science

Algorithms

Data Structures

TensorFlow

PyTorch

JAX

Interpersonal Skills

Education

Bachelor in Computer Science

Advanced Degree in Related Field

Tools

TensorFlow

PyTorch

JAX

Job description

AIML - Sr. Machine Learning Engineer, Foundation Model Training - ML Platform & Technology

**Santa Clara, California, United States**

**Machine Learning and AI**

**Summary**

Posted: **Aug 30, 2024**

Role Number: **200565743**

We are a group of engineers to support training foundation models at Apple. We build infrastructure to support training foundation models with general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. 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.

**Description**

We design and build infrastructures to support features that empowers billions of Apple users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others. You’ll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity.

**Minimum Qualifications**

+ Strong coding skills in C++ or Python

+ Extensive experience in: applied machine learning, modeling and productization

+ Strong background in: computer science, algorithms and data structures

+ Experience with machine learning systems like, Tensorflow, Pytorch or Jax

+ Excellent interpersonal skills, able to work independently as well as in a team

+ Bachelors in Computer Science or equivalent industry work experience

**Preferred Qualifications**

+ The qualifications that will benefit a candidate to be successful in your role

+ Experience with large-scale language model training or serving

+ Experience with large data generation/decontamination

+ Advance degree in related field or equivalent industry work experience

**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 $175,800 and $312,200, 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. (https://www.apple.com/careers/us/benefits.html)

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 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.