Senior ML Engineer — Build Production-Ready ML & Mentor Team

Apple, Inc.; Jackson (TN); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Comprehensive medical and dental

Retirement benefits

Discounted products and services

Tuition reimbursement

Relocation (eligible)

Job summary

Apple Store Online team is seeking an experienced ML Engineer to help build and deploy machine learning solutions that enhance the customer shopping experience. You will collaborate with researchers, data scientists and product managers to develop and test ML algorithms and workflows.

You should have a strong machine learning background, production software development skills, and a passion for learning. Join a team that values mentorship, scalability and cutting-edge ML practices across Apple’s

Qualifications

• Bachelor’s degree in CS, Stats or Math or equivalent experience.
• 5+ years building high throughput scalable apps or ML models.
• Proficiency in Python, Java, C++ and distributed systems.
• Experience with Spark, SQL and big data stacks.

Responsibilities

• Collaborate with MLEs to build scalable ML solutions from concept to deployment.
• Improve ML infrastructure and tooling and mentor junior MLEs.
• Collaborate with researchers, data scientists, engineers and PMs on ML algorithms.
• Stay current with advances in ML and software engineering.

Skills

Python

Java

C++

Spark

TensorFlow

PyTorch

Distributed systems

Communication

Problem solving

Education

Bachelor's degree in Computer Science, Statistics, Mathematics

PhD or Graduate degree in data science or related field

Tools

Spark

TensorFlow

Keras

PyTorch

Snowflake/Hadoop

Job description

Apple Store Online team is seeking an experienced ML Engineer to help build and deploy machine learning solutions that enhance the customer shopping experience. You will collaborate with researchers, data scientists and product managers to develop and test ML algorithms and workflows.

You should have a strong machine learning background, production software development skills, and a passion for learning. Join a team that values mentorship, scalability and cutting-edge ML practices across Apple’s