AIML - Sr Machine Learning Engineer - Data and ML Innovation

Apple

Seattle, WA

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JOB DETAILS

SKILLS

Analysis Skills, Apple, Apple Hardware, Artificial Intelligence (AI), Communication Skills, Computer Music and Audio, Computer Vision, Conferences, Continuous Improvement, Cross-Functional, Data Modeling, Data Quality, Data Science, Data Sets, Deep Learning, Ecosystems, Experiment Design, JAX (Java API for XML), Machine Learning, Metrics, Natural Language Processing (NLP), Performance Analysis, Performance Management, Performance Reviews, Product Design, Product Development, Publications, Python Programming/Scripting Language, Sales Pipeline, Software Development, Speaker Recognition, Speech Recognition, Trend Analysis

LOCATION

Seattle, WA

POSTED

16 days ago

**Role Number:** 200666135-3337 **Summary** Would you like to be a part of Apple's AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine learning researchers, engineers, and data scientists. Together, you will spearhead groundbreaking research initiatives and develop transformative products designed to build for billions of users worldwide. **Description** As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying innovative research in foundation models to with a particular focus on audio data. This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio corpora to post-training evaluation and fine-tuning with task-specific datasets. The solutions you develop will have a significant impact on future Apple software and hardware products, as well as the broader ML ecosystem. Your responsibilities will extend to designing and developing a comprehensive multi-modal data generation and curation framework for foundation models at Apple. You will also contribute to building robust model evaluation pipelines that support continuous improvement and performance assessment. In addition, the role involves analyzing multi-modal data to better understand its influence on model behavior and outcomes. Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. YOUR WORK MAY SPAN VARIOUS APPLICATIONS, INCLUDING: Designing self-supervised and semi-supervised representation learning pipelines, and fine-tuning strategies for tasks like speech recognition and speaker identification. Applying data selection techniques such as novelty detection and active learning across multi modalities to improve data efficiency and reduce distributional gaps. Modeling data distributions using ML/statistical methods to uncover patterns, reduce redundancy, and handle out-of-distribution challenges. Rapidly learning new methods and domains as needed, and guiding product teams in selecting effective ML solutions. **Minimum Qualifications** + Deep technical skills in one or more machine learning areas, such as computer vision, audio, combinatorial optimization, causality analysis, natural language processing, and deep learning. + Strong software development skills with proficiency in Python; hands-on experience working with deep learning toolkits like PyTorch, TensorFlow, or JAX (one of). + 5+ years of experience developing and evaluating ML applications, demonstrating a passion for understanding and improving model/data quality.' **Preferred Qualifications** + Deep understanding of multi-modal foundation models. + Staying up-to-date with emerging trends in generative AI and multi-modal LLMs. + The ability to formulate machine learning problems, design, experiment, implement, and communicate solutions effectively with multi-functional teams. + Demonstrated publication records in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.). + Track records of adopting ML to solve cross-disciplinary problems.

About the Company

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1976

WEBSITE

https://www.apple.com/jobs

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