Senior Machine Learning Engineer

Global technology company known for innovative consumer electronics, software, and services.
$175,800 - $312,200
Machine Learning
Senior Software Engineer
In-Person
5+ years of experience
AI · Enterprise SaaS

Description For Senior Machine Learning Engineer

Apple is seeking a Senior Machine Learning Engineer to join their Software and Services team, focusing on bringing innovative experiences to Apple Maps. This role presents an exciting opportunity to work at one of the world's leading technology companies, collaborating with highly skilled engineers and scientists.

The position requires a seasoned professional with 5+ years of experience in building large-scale machine learning systems, with particular emphasis on NLP and generative AI models. You'll be responsible for transforming abstract goals into concrete, measurable requirements and implementing cutting-edge AI/ML technologies that impact millions of users worldwide.

As a Senior ML Engineer, you'll be working with state-of-the-art tools and technologies, including PyTorch, TensorFlow, and various big data technologies like Spark and Cassandra. The role demands expertise in NLP fundamentals, including embedding generation, text similarity, and entity recognition, along with experience in modern AI developments such as Transformers and LLMs.

The compensation package is highly competitive, ranging from $175,800 to $312,200 base salary, complemented by Apple's comprehensive benefits package. This includes medical and dental coverage, retirement benefits, and the opportunity to become an Apple shareholder through various stock programs. The company also supports professional growth through educational expense reimbursement and offers additional perks like product discounts and free services.

Working at Apple's Cupertino location, you'll be at the heart of innovation, collaborating with cross-functional teams to architect and implement solutions that push the boundaries of what's possible with AI and machine learning. The role offers the perfect blend of technical challenges and real-world impact, making it an ideal opportunity for a skilled ML engineer looking to make a significant contribution to products used by millions globally.

The ideal candidate will be metrics-focused, passionate about delivering high-quality results, and possess strong problem-solving and communication skills. Knowledge of cloud platforms and experience with large-scale, real-world datasets are essential for success in this role. If you're excited about working on cutting-edge ML technologies and want to be part of shaping the future of Apple Maps, this role offers an exceptional opportunity to make your mark.

Last updated 15 minutes ago

Responsibilities For Senior Machine Learning Engineer

  • Converting abstract, high-level goals into concrete, measurable requirements
  • Proposing, implementing, evaluating, and shipping AI/ML technologies
  • Collaborating with engineering organizations and designers to architect systems
  • Working on Apple Maps experiences
  • Delivering models that render high quality results

Requirements For Senior Machine Learning Engineer

Python
Java
Cassandra
Scala
  • 5+ years of experience in building large scale machine learning systems
  • Deep understanding of NLP fundamentals including embedding generation, text similarity, entity recognition
  • 2+ years of experience in generative AI models (Transformers, LLMs, VLMs, etc)
  • Strong programming skills in PyTorch, TensorFlow, Scikit-learn, Scala, Python, Java, or C++
  • Experience working with large scale and real world datasets
  • Knowledge of Spark, Solr/Lucene, Cassandra, and related big data technologies
  • Metrics focused and passionate about delivering high quality results
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Strong problem-solving, communication, and cross-functional collaboration skills

Benefits For Senior Machine Learning Engineer

Medical Insurance
Dental Insurance
Education Budget
Equity
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Educational expense reimbursement
  • Discretionary restricted stock unit awards
  • Employee Stock Purchase Plan with discount
  • Discretionary bonuses
  • Relocation benefits
  • Product discounts
  • Free services

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