Senior Machine Learning Engineer, Data and ML Innovation

Apple Inc

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Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $184,700–$324,800 / yr
Posted: 48 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $234k

This role $255k

$168k $342k

below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $213,575–$254,750 — the blue band above. At the midpoint, this role pays about $255k versus about $234k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3564 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2760 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer, Data and ML Innovation

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The AIML - Sr Machine Learning Engineer, Data and ML Innovation joins the Data and Machine Learning Innovation team to explore new methods and practices for overcoming real-world machine learning challenges. This role involves innovating and applying state-of-the-art research to tackle complex data problems within the Apple Intelligence ecosystem. Key responsibilities include designing and developing a comprehensive data generation and curation framework for foundation models, building robust model evaluation pipelines, and implementing techniques for creating high-quality synthetic datasets across vision, text, and audio domains. The position requires expertise in computer vision, natural language processing, and multi-modal foundation models. Candidates must possess strong programming skills using Python, PyTorch, or Jax to develop semi-supervised and self-supervised representation learning techniques for large-scale AI experiments.

What does a Machine Learning Engineer earn in California?

Median $236000 from 195 postings across 33 companies.

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Skills

Python PyTorch Jax Computer Vision Natural Language Processing Generative AI Multi-modal LLM Foundation Models Synthetic Data Generation Data Engineering Model Evaluation Deep Learning Machine Learning

What you'll do

Develop and implement techniques for creating high-quality synthetic datasets across vision, text, and audio domains.
Innovate new approaches for synthetic data generation to improve dataset diversity, realism, and representativeness.
Design and develop a comprehensive data generation and curation framework for foundation models.
Build robust model evaluation pipelines to assess and improve foundation model performance.
Implement semi-supervised and self-supervised representation learning techniques for labeled and unlabeled data.
Develop automated pipelines and tools for large-scale synthetic data generation experiments.
Participate in data-model co-design practices with multidisciplinary teams to meet specific data requirements.
Publish and present groundbreaking research work at premier academic venues.

What we're looking for

Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
Deep understanding in multi-modal foundation models.
Knowledge of emerging trends in generative AI and multi-modal LLMs.
Strong programming skills and hands-on experience using Python, PyTorch, or Jax.
3+ years of experience developing and evaluating ML applications and improving data quality (preferred).
Strong publication record in relevant conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR (preferred).
Strong problem-solving and communication skills (preferred).
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics, or related areas (preferred).