Machine Learning Engineer -- Backend/Data Engineer: Agentic Workflows
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you want to make Siri and Apple products more intelligent for our users? The Siri & Information Intelligence team is building groundbreaking technology to revolutionize how users interact with Apple devices. As part of this group, you will contribute to build the infrastructure to power the development of multi-modal agentic workflows.
Description We design, build and maintain infrastructure to support agentic workflows for Siri. Our team is in charge of data generation, introspection and evaluation frameworks that are key to efficiently developing foundation models and agentic workflows for Siri applications. In this team you will have the opportunity to work at the intersection of with cutting edge foundation models and products.
Minimum Qualifications
• Strong background in computer science: algorithms, data structures and system design
• Strong python skills
• 3+ year experience on large scale distributed system design, operation and optimization
• Experience with SQL/NoSQL database technologies, data warehouse frameworks like BigQuery/Snowflake/RedShift/Iceberg and data pipeline frameworks like Google Cloud Platform Dataflow/Apache Beam/Spark/Kafka
• Experience with Vector Databases
• Experience deploying and serving of LLMs
• Experience processing data for ML applications at scale
• Excellent interpersonal skills able to work independently as well as cross-functionally
Preferred Qualifications
• Experience fine-tuning and evaluating Large Language Models
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 $143,100 and $264,200, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Apply Now
Description We design, build and maintain infrastructure to support agentic workflows for Siri. Our team is in charge of data generation, introspection and evaluation frameworks that are key to efficiently developing foundation models and agentic workflows for Siri applications. In this team you will have the opportunity to work at the intersection of with cutting edge foundation models and products.
Minimum Qualifications
• Strong background in computer science: algorithms, data structures and system design
• Strong python skills
• 3+ year experience on large scale distributed system design, operation and optimization
• Experience with SQL/NoSQL database technologies, data warehouse frameworks like BigQuery/Snowflake/RedShift/Iceberg and data pipeline frameworks like Google Cloud Platform Dataflow/Apache Beam/Spark/Kafka
• Experience with Vector Databases
• Experience deploying and serving of LLMs
• Experience processing data for ML applications at scale
• Excellent interpersonal skills able to work independently as well as cross-functionally
Preferred Qualifications
• Experience fine-tuning and evaluating Large Language Models
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 $143,100 and $264,200, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Apply Now