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Apple Senior Machine Learning Engineer Operations Platform United States, California, Cupertino 376111196
Today
You’ll work closely with researchers, engineers, data scientists, and product managers to design, implement, and operate robust ML systems at scale. If you're passionate about continuous learning and building impactful solutions, we want to hear from you.RESPONSIBILITIES INCLUDE:- Partner with cross-functional teams to design, develop, and deploy scalable, production-ready ML solutions- Architect and implement a robust MLOps platform to streamline and operationalize large-scale ML workloads- Stay current with emerging tools and research in MLOps, distributed systems, and machine learning to continuously improve our platforms- Mentor engineers in areas of your expertise, fostering skill growth and knowledge sharing
- Bachelor’s degree in Computer Science, engineering, or a related field
- 8+ years of experience building and operating scalable, high-throughput scalable systems and machine learning models
- Proficiency in object-oriented programming languages such as Python, Java
- Strong expertise in distributed systems, reliability and scalability, containerization, and cloud platforms
- Expertise in distributed systems, cloud infrastructure, and containerization technologies: Kubernetes, Docker, Ray, PySpark, AWS, GCP
- Proficient in working with and debugging accelerators, like: GPU, TPU, AWS Trainium
- Proficient in ML training and deployment frameworks, like: JAX, Tensorflow, PyTorch, TensorRT, vLLM
- Strong analytical, problem-solving, and communication 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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