ML Product Automation Architect
Job Description
Summary
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
As part of Apple Intelligence, this 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!
As part of Apple Intelligence, this 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
We are seeking a talented and motivated senior software developer to join our Machine Learning Systems Evaluation Engineering team. In this role, you will be responsible for designing and building simulation environments that allow us to evaluate our AI assistant products at scale. You will partner closely with organizational leadership to translate the many needs of our customers into engineering opportunities for the MLSEE team to innovate and deliver value. You will architect systems with scale in mind and drive adoption through cross-functional partnerships. This position is ideal for senior developers who are passionate about quality, enjoy creating scalable simulation systems, and are eager to contribute to the success of cutting-edge AI products. If you have a strong background in software development, experience working with leadership and a keen interest in simulation and quality, we would love to hear from you.
Minimum Qualifications
- 10+ years of professional experience in software development, with a strong emphasis on designing, implementing, and optimizing large-scale data and compute-intensive systems
- Track record architecting native client-based APIs and frameworks that have been used with production environments and customers
- Expertise in Swift and/or Obj-C
- Experience as a team lead
Preferred Qualifications
- Strong software engineering skills, including system design, development, testing, debugging, release and maintenance
- Deep understanding of automated software testing methodologies and lifecycle, including integration testing, component mocking, and dependency injection
- Knowledge of statistics based evaluation approaches, ML training pipelines and accuracy improvements of ML systems
- Strong organizational skills and experience working with multiple stakeholders
- Exposure to model development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring
- BS/MS in Computer Science or related field is preferred
