AIML-Sr. Software Engineer, Measurement

Summary

Posted: Feb 4, 2025

Role Number:200587875

We are seeking a highly skilled Senior Software Engineer to join the Annotation and Visualization team. This role will focus on designing, building, and maintaining large-scale distributed systems that bring AI models and pipelines to our product ecosystem of annotation and visualization tools. The ideal candidate will have a deep understanding of distributed systems, cloud infrastructure, and ML operations. Your ideas will power next generation AI features, and impact hundreds of millions of people worldwide in their daily lives!

Description

You’ll play a pivotal role in driving the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models. You will have a significant impact, working alongside world-class experts and using state-of-the-art technologies to push the boundaries of innovation. You have a background that fuses platforms and services with product thinking. You will also partner closely with other engineers, data scientists, ML engineers, and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale data and ML operations. Architect and implement scalable backend systems that support measurement and inference and optimization efforts, ensuring performance and reliability. Work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics, gather requirements, and deliver impactful solutions. Ensure backend services are scalable, efficient, and secure, handling large volumes of data with ease. Provide technical leadership and mentorship to junior engineers, fostering a culture of excellence and continuous improvement.

Minimum Qualifications

• Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka
• Experience with cloud platforms such as: AWS, GCP, or Azure
• Experience with SQL / NoSQL databases and embedding data stores
• Proficiency in programming languages such as Python, Java, or Go
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.
• Ability to tackle complex challenges, think critically, and deliver innovative solutions.
• Bachelors in Computer Science, engineering, or a related field

Preferred Qualifications

• Advance degrees in Computer Science, engineering, or a related field
• Experience with complex multi-sensor perception systems and visualization
• Experience with Machine Learning platforms
• Familiarity with ML tools and frameworks

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 $175,800 and $312,200, 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.