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