Sr. ML Infrastructure Engineer

Key Skills

3D data processing, Analytical and Problem solving, Dask - Python library, Elasticsearch, GPUs, Infrastructure as code, Machine learning techniques, Presto, Python Programming, PyTorch, SPARK Programming, SQL, TensorFlow, TorchServe

Job Description

We are a team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. We work on exciting new technologies and balance exploration of new problems with result-driven project planning and execution. In our daily work, the team stays effective, productive, and fun by sharing some key values: Passion for the mission: We’re here to make something extraordinary. We seek whatever work is right and strive for the best possible results. Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback. Lean habits: You can’t grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.

Key Qualifications

• You may meet or have interest in any one of the following qualifications:
• Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.).
• Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
• Familiarity with GPU computing.
• Solid software engineering skills in complex, multi-language systems. Fluency in Python.
• Building end to end data systems as an ML Engineer, Platform Engineer, or equivalent.
• Experience working with cloud data processing technologies (Apache Spark, Ray, Dask, ElasticSearch, Presto, SQL, etc.).
• Excellent debugging and critical thinking skills.
• Excellent analytical and problem-solving skills.
• Ability to work in a fast paced, team-based environment.

Description

- Build and integrate end to end lifecycles of large-scale, distributed machine learning systems using the latest open source technologies - Improve distributed cloud GPU training approaches for deep learning model - Build software that improves your rate of experimentation and helps you make better decisions about what to try next. - Develop tools and services for improving ML systems beyond modeling choices - Data distribution editing, data quality improvements, and representation learning with self-supervision - Architect the end-to-end platform that supports MLOps - Collaborate with engineers across functions to solve complex data problems at scale - Identify and evaluate new patterns and technologies to improve performance, maintainability and elegance of our machine learning systems - Lead technical projects to completion. Communicate with peers to build requirements and track progress - Mentor fellow engineers in your areas of expertise - Contribute to a team culture that values effective collaboration, technical perfection, and innovation

Education & Experience

Bachelors, Masters, or PhD Degree in Computer Science/Machine Learning or equivalent professional experience.

Pay & Benefits

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700 and $300,200, and your base pay will depend on your skills, qualifications, experience, and location.

  Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.