AIML-Sr. Machine Learning Engineer, Measurement
Job Description
Summary
We are seeking a highly skilled and experienced software engineer to join our team at Apple AIML in building an on-device machine learning and observability platform. As a key member of the team, you will help design and develop the infrastructure and work on various machine learning solutions and models. You will also have the chance to collaborate with product teams such as Siri and utilize your expertise to solve technical challenges for upcoming products. Your responsibilities will include building the on-device machine learning infrastructure, working with product teams, and contributing to the development of machine learning solutions and platforms.
Description
Our team is seeking a highly skilled and experienced ML software engineer to join us in building the on-device machine learning and evaluation platform that enables product teams across Apple to develop, evaluate, observe ML solutions that power Apple Intelligence user experiences. In this role, you will play a crucial role in the design and development of on-device ML infrastructure and work closely with multiple ML-based solutions and experiences. You will also have the opportunity to engage with product teams across Apple and use your expertise to solve challenging technical problems in our next-generation products that will delight millions of people, including contributing to advancements in large language models (LLMs) for next generation Siri empowered by Apple Inteligence.
Your responsibilities will include:
Designing and building on-device Machine Learning infrastructure to enable efficient and effective model training, evaluation, deployment, and performance monitoring.
Collaborating with product teams to identify and prioritize machine learning needs and opportunities.
Working with data scientists and machine learning researchers to design and conduct experiments to optimize model performance.
Participating in the development of machine learning infrastructure and tools, including model life-cycle management, experimentation tracking, and data management.
To succeed in this role, you should have a strong background in distributed systems, Machine Learning and a proven track record of building and maintaining machine learning infrastructure. You should also be a proactive and determined problem solver with excellent communication skills and the ability to work effectively across multiple codebases, teams, and organizations. Experience with on-device Machine Learning and a passion for crafting compelling user experiences are highly desirable.
Your responsibilities will include:
Designing and building on-device Machine Learning infrastructure to enable efficient and effective model training, evaluation, deployment, and performance monitoring.
Collaborating with product teams to identify and prioritize machine learning needs and opportunities.
Working with data scientists and machine learning researchers to design and conduct experiments to optimize model performance.
Participating in the development of machine learning infrastructure and tools, including model life-cycle management, experimentation tracking, and data management.
To succeed in this role, you should have a strong background in distributed systems, Machine Learning and a proven track record of building and maintaining machine learning infrastructure. You should also be a proactive and determined problem solver with excellent communication skills and the ability to work effectively across multiple codebases, teams, and organizations. Experience with on-device Machine Learning and a passion for crafting compelling user experiences are highly desirable.
Minimum Qualifications
- Strong background in distributed systems and machine learning
- Experience with on-device machine learning and system development
- Experience building and maintaining machine learning infrastructure
- Ability to work effectively across multiple codebases, teams, and organizations
- 8+ years of professional experience as a software engineer, preferably in machine learning or a related field
- Proactive and determined problem-solving skills
- Excellent communication skills
- Bachelor's or Master's degree in Computer Science or a related field
Preferred Qualifications
- Development experience at the systems level with Objective-C, Swift
- Understanding of iOS, macOS fundamentals and frameworks
- Proficiency in Python and ML frameworks such as Pytorch and Tensorflow
- Experience with Core ML framework and tools
- Experience with LLM fine-tuning and training
