AIML - Senior Software Engineer, Measurement

Key Skills

Aartificial intelligence, AWS, Azure, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, NoSQL, SQL

Job 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: Alicloud, AWS, GCP, or Azure
• Experience with SQL / NoSQL databases and embedding data stores
• Proficiency in programming languages such as Java, Go or Python.
• 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 Machine Learning platforms
• Familiarity with ML tools and frameworks