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Apple Machine Learning Engineer - Apple Maps United States, California, Cupertino 732118541
30.01.2025
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Minimum Qualifications
- As a member of our team, you’ll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple Maps. This position requires a self-motivated engineer/scientist with strong technical and interpersonal skills to handle responsibilities including:
- We are looking for a Machine Learning Scientist / Engineer who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping different AI/ML technologies and resulting data to achieve a given task. This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system!
Preferred Qualifications
- 5+ years of experience in building large scale machine learning systems
- 2+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, etc), NLP and text data, Computer Vision
- Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics
- Experience working with large scale and real world datasets
- Deep learning, computer vision, topic modeling, graph algorithms are pluses
- Metrics focused and passionate about delivering models that render high quality results
- Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Scala, Python, Java, or C++
- Knowledge of Spark, Apache Hadoop, Solr/Lucene, Cassandra, and related big data technologies
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 $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.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 take affirmative action to ensure 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.
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