AIML-Sr. Software Engineer, Measurement
Apple
AIML-Sr. Software Engineer, Measurement
Job Description
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! 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing distributed systemsintermediate
- building distributed systemsintermediate
- maintaining distributed systemsintermediate
- understanding of distributed systemsintermediate
- cloud infrastructureintermediate
- ML operationsintermediate
- Generative AIintermediate
- Large Language Modelsintermediate
- deploying cloud infrastructureintermediate
- maintaining cloud infrastructureintermediate
- architecting scalable backend systemsintermediate
- implementing scalable backend systemsintermediate
- ensuring performance and reliabilityintermediate
- technical leadershipintermediate
- mentorshipintermediate
- product thinkingintermediate
- collaborating with engineersintermediate
- collaborating with data scientistsintermediate
- collaborating with ML engineersintermediate
- gathering requirementsintermediate
- delivering innovative solutionsintermediate
- ensuring scalabilityintermediate
- ensuring efficiencyintermediate
- ensuring securityintermediate
- handling large volumes of dataintermediate
- fostering continuous improvementintermediate
Required Qualifications
- Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka (experience)
- Experience with cloud platforms such as: AWS, GCP, or Azure (experience)
- Experience with SQL / NoSQL databases and embedding data stores (experience)
- Proficiency in programming languages such as Python, Java, or Go (experience)
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) (experience)
- Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment. (experience)
- Ability to tackle complex challenges, think critically, and deliver innovative solutions. (experience)
- Bachelors in Computer Science, engineering, or a related field (degree in computer science)
Preferred Qualifications
- Advance degrees in Computer Science, engineering, or a related field (degree in computer science)
- Experience with complex multi-sensor perception systems and visualization (experience)
- Experience with Machine Learning platforms (experience)
- Familiarity with ML tools and frameworks (experience)
Responsibilities
- 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.
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Answer 10 quick questions to check your fit for AIML-Sr. Software Engineer, Measurement @ Apple.
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AIML-Sr. Software Engineer, Measurement
Apple
AIML-Sr. Software Engineer, Measurement
Job Description
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! 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing distributed systemsintermediate
- building distributed systemsintermediate
- maintaining distributed systemsintermediate
- understanding of distributed systemsintermediate
- cloud infrastructureintermediate
- ML operationsintermediate
- Generative AIintermediate
- Large Language Modelsintermediate
- deploying cloud infrastructureintermediate
- maintaining cloud infrastructureintermediate
- architecting scalable backend systemsintermediate
- implementing scalable backend systemsintermediate
- ensuring performance and reliabilityintermediate
- technical leadershipintermediate
- mentorshipintermediate
- product thinkingintermediate
- collaborating with engineersintermediate
- collaborating with data scientistsintermediate
- collaborating with ML engineersintermediate
- gathering requirementsintermediate
- delivering innovative solutionsintermediate
- ensuring scalabilityintermediate
- ensuring efficiencyintermediate
- ensuring securityintermediate
- handling large volumes of dataintermediate
- fostering continuous improvementintermediate
Required Qualifications
- Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka (experience)
- Experience with cloud platforms such as: AWS, GCP, or Azure (experience)
- Experience with SQL / NoSQL databases and embedding data stores (experience)
- Proficiency in programming languages such as Python, Java, or Go (experience)
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) (experience)
- Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment. (experience)
- Ability to tackle complex challenges, think critically, and deliver innovative solutions. (experience)
- Bachelors in Computer Science, engineering, or a related field (degree in computer science)
Preferred Qualifications
- Advance degrees in Computer Science, engineering, or a related field (degree in computer science)
- Experience with complex multi-sensor perception systems and visualization (experience)
- Experience with Machine Learning platforms (experience)
- Familiarity with ML tools and frameworks (experience)
Responsibilities
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for AIML-Sr. Software Engineer, Measurement @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs