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Apple Senior Machine Learning Engineer 
United States, New York, New York 
609531145

Yesterday
  • Proven track record of designing and scaling robust ML infrastructure and frameworks that support both training and inference across teams and orgs.
  • Experience of model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM). Actively led evaluation and adoption of such technologies.
  • Recognized as a technical leader and mentor, supports the growth of engineers through code/design reviews, working groups, and internal knowledge sharing.
  • Experience building machine learning models using frameworks like PyTorch, TensorFlow. Provides technical guidance and mentorship on best practices.
  • Prior experience in advertising industry, federated learning and privacy-preserving ML techniques.
  • Led development of foundational AI/ML platforms and tooling including Feature Stores, Vector DB to accelerate team productivity and model lifecycle management.
  • Experience working on distributed systems (e.g Ray, Spark, Kubernetes).
  • Experience performance tuning & trouble-shooting.
  • Pride in building tools to automate routine tasks, organized & detailed.
  • Passionate about developer experience builds abstractions, automation tools, and reusable components to streamline ML workflows and reduce operational burden.
  • Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
  • Results oriented with a desire to work in a fast-paced and collaborative work environment.
  • PhD/MS/BS in computer science or related field with 8+ years of experience in machine learning and strong software engineering skills.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.