Senior Software Engineer: ML Systems and Evaluation Engineering

As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AIML products to new products that will help millions get things done, across the globe? Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AIML products, that will delight and inspire millions of people!

Description

In this role, you will own requirements, including 'proof of concept' development, and co-own the development roadmap for ML system evaluation platform. You have a consistent record defining success by completing the full product cycle, from design and implementation to gathering feedback and iterating on systems, frameworks, and tools for Siri. You will oversee system integration and contribute to how the software is used in evaluation plans and continuous integration of ML models. Lastly, you will build, measure, and leverage software to provide insights into the impact of platform changes.

Minimum Qualifications

5+ years of professional experience in software development, with a strong emphasis on designing, implementing, and optimizing large-scale data and compute-intensive Frameworks / APIs, and tools. Strong software engineering skills, including system design, development, testing, debugging, release and maintenance. Proven expertise in Swift or Obj-C (required). Python (desired) and at least one other object-oriented programming language (e.g., C++, C#, Java). Good experience/exposure to service oriented architecture. Knowledge of statistics based evaluation approaches, ML training pipelines and accuracy improvements of ML systems (Preferred). Experience on delivering APIs/Frameworks that have been used with production environments and customers

Preferred Qualifications

Ability to develop long-term strategic visions and implement scalable solutions in fast-paced, agile work environments. Strong organizational skills and experience working with multiple stakeholders. Excellent communication and documentation skills. Exposure to model development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring Thrives in fast-paced settings, leveraging a strategic mindset for problem-solving and driving innovative enhancements to Apple product user experiences.