Senior Machine Learning Engineer

Apple

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profile Job Location:

Cambridge - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

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 multi-functional teams including researchers engineers data scientists/analysts and product managers to help develop and implement machine learning algorithms and testing workflows.


  • Bachelorʼs degree in Computer Science Statistics Mathematics with equivalent experience.
  • 5 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 critical thinking Attention to detail data accuracy and quality of output.


  • PhD or Graduate degree with research/work experience using data science techniques (including but not limited to Computer Science Statistics Mathematics etc).
  • 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

Required Experience:

Senior IC

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 multi-functional teams including researchers engineers data scientists/analysts and product managers to help develop and imple...
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