Search Engineer - AI/ML

Apple; Bengaluru; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Apple in Bengaluru is seeking a driven individual for the Applied Machine Learning group. This role involves conceptualizing, designing, and implementing innovative ML solutions. The ideal candidate will have a Bachelor's in Computer Science and over 3 years of experience managing big-data platforms with expertise in Java. Working experience with search technologies and cloud platforms like AWS or GCP is preferred. Apple values accessibility and fostering diverse perspectives within its culture.

Qualifications

• 3+ years of experience in building and managing big-data platforms.
• Proven track record in crafting high-quality software solutions.
• Hands-on person who understands problem details and advises teams.

Responsibilities

• Conceptualise, design, and implement cutting-edge ML solutions.
• Leverage best-suited ML, AI, and NLP techniques.
• Contribute to building reusable platforms and mentor junior members.

Skills

Enterprise Software Development

Machine Learning

Java

Cloud Technologies (AWS/GCP)

Data Modeling

Education

Bachelor’s in Computer Science or equivalent experience

Tools

Lucene

Solr

Elasticsearch

MLFlow

AWS

Azure

GCP

Job description

Summary

At Apple, phenomenal 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.

Description

Applied Machine Learning group is looking for a driven and results oriented individual to help push the envelope of what ML and AI can be used for, while researching new frontiers to raise the bar higher.

As part of the Applied Machine Learning team, you will be responsible for conceptualising, designing, implementing and running cutting edge solutions, leveraging best suited ML, AI and NLP techniques and contributing to building reusable platforms. Our group has a broad impact, so you can expect to be cross‑functional and see new wondrous and challenging use cases where modern day technologies can help solve real world problems.

We are looking for someone who has a proven track record in crafting and developing high quality enterprise software solutions. This position requires a hands‑on person, who is passionate about understanding the details of a problem, can think about different solutions and can advise a team by example when the time to implement comes.

We're looking for a self‑starting, upbeat individual with excellent written and communication skills, hardworking person who is a great teammate, but not afraid to question assumptions and take initiative. If you feel this is you, we'd love to hear from you.

Minimum Qualifications

• Bachelor’s in Computer Science or equivalent experience
• 3+ years of experience in building and managing big‑data platforms and programming experience in Java

Preferred Qualifications

• Working experience with search and information retrieval (Lucene, Solr, Elasticsearch, Milvus, Vespa)
• Experience scaling distributed ML and AI systems to handle millions of concurrent requests is desirable
• Experience with ML applications in cross domain contexts is a plus
• Experience with public cloud (AWS/GCP)
• Good understanding of AI/ML stack – GPUs, MLFlow, LLM models is a plus
• Understanding of data modeling, data warehousing, and ETL concepts is a plus
• Have created frameworks to deploy platforms in AWS/Azure/GCP
• Ability to lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi‑functional teams to deliver complex projects
• Commitment to staying updated with the latest advancements in machine learning and data science, and willingness to learn new tools and technologies as needed

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Role Number: 200648375-0321