About Apple
Apple · Austin
Machine Learning Engineer
(f/m/d) · 1/17/2025
Description
To be successful, candidates will need a machine learning background, proven software development skills, a love of learning. They will also need to be able to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms.
RESPONSIBILITIES INCLUDE:
- Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment.
- Contribute to the ongoing improvement of our ML infrastructure and tooling.
- Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering.
Qualifications
- 2 years of related experience building high throughput scalable applications or building machine learning models.
- Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems.
- Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.
- Skilled in communication, problem solving, strategic thinking.
Preferred Qualifications
- Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelor’s degree with equivalent experience.
- Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture.
- Skilled in communication, problem solving, critical thinking.
- Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus.
- Experience with Spark, TensorFlow, Keras, and PyTorch a plus.
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