AIML – Sr Backend Engineer, Data and ML Innovation

Summary

Posted: Feb 15, 2025

Role Number:200591713

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products crafted to build a significant impact for billions of users worldwide! As part of Apple’s AI and Machine Learning org, we encourage and build groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. The Data and Machine Learning Innovation (DMLI) team is looking for Sr Backend Engineer to build world-class data solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Model lifecycle.

Description

We are looking for a skilled Python Backend Engineer to join our development team. In this role, you will be responsible for building and maintaining the server-side logic. You will be tasked with developing back-end components, connecting the application with third-party web services, and supporting the front-end developers by integrating their work with the Python application. You have demonstrated expertise in Python. Knowledge of Data Engineering & ML domain & training lifecycle is a plus. You are comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs. You are proficient and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing. You have worked closely with project managers, UI/UX designers, and other cross functional stakeholders to deliver high quality work timely.

Minimum Qualifications

• Bachelor’s degree in Computer Science or related field.
• 3+ years of extensive backend development experience.
• Expertise in architecting and developing backend systems using Python; extensive experience in FastAPI, Django, or Flask will be great.
• In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.

Preferred Qualifications

• Experience in Data Engineering & ML domain & training lifecycle .
• Experience with large-scale data processing, distributed systems , microservices, various caching strategies, and performance optimization.
• Excellent problem solving skills and be able to navigate through complex technical challenges and design decisions.
• Experience with cloud platforms like AWS or GCP
• Master or Ph.D. in a related field.
• Previous experience in a high-growth tech company or similar environment.

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 $166,600 and $296,300, 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.