Jobs and Careers
AP
AIML-Software Development Engineer, Measurement
AppleUnited Statesfull_timeVerifiedPosted 15 Jan 2025
💰 $264,200/yr($143,100/yr – $264,200/yr)
About the role
Summary
Posted: Jan 15, 2025Role Number:200586903
We are seeking a highly skilled Staff 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! 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 data engineering and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.
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 data engineering and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products. You will also partner closely with 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 leading strategic technical projects with multiple partners and directing work of other engineers or as a technical lead.
- 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
- Proven track record of building high-quality, highly scalable backend software systems.
- 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 $143,100 and $264,200, and your base pay will depend on your skills, qualific
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s