Sr Software Engineer - Data, ML Systems and Evaluation Engineering
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, 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!
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
You will own requirements, including 'proof of concept' development, and co-own the development roadmap for ML system evaluation platform Data. The ideal candidate will have a proven track record in defining success by completing the full product cycle, from design and implementation to gathering feedback and iterating on systems, data pipelines, and analytics for the AI/ML teams. This stellar engineer will oversee scalable data systems, takes full ownership of the product from development to deployment, establish and executes long term and short term roadmap for data in ML evaluation and simulation Platform
Minimum Qualifications
- 5+ years of professional software development experience
- Excellent coding skills, with emphasis on object-oriented design, data structures, algorithms, problem solving, refactoring, performance improvement and complexity analysis.
- You are proficient in at least one major language (e.g., Java, Scala, Python) and SQL (any variant) and write elegant and maintainable code, and you're comfortable with picking up new technologies.
- You are proficient in working with distributed systems and Cloud technologies such as AWS or GCP and have experience with different distributed processing frameworks that can handle data in batch and real-time e.g. Flink, Spark etc.
Preferred Qualifications
- You have a product mindset and are curious to understand what the business needs. You have a naturally collaborative style to work with cross functional teams, ML, engineering, etc in service of these needs.
- You possess a strong data intuition and apply your analytical and data engineering skills to translate business problems into scalable engineering solutions.
- You see patterns and new ways to innovate in existing spaces. As a result, you always look for opportunities to simplify, automate tasks, and build reusable components across multiple use cases and teams.
- You build data products that are well-modeled, documented and easy to understand and maintain.
- You own what you build, beyond just your code. You have a passion for quality.
- You are comfortable working in the most agile of environments with vague requirements. You are nimble and can pivot easily when needed. You are unafraid to take smart risks.
- You love working independently while also collaborating and giving/receiving candid feedback.
