Software Development Engineer - Data, MLO

Socket.dev; Cupertino (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Apple is seeking an exceptional software & data engineer who is passionate about ML data pipelines and Apple products. The role focuses on researching, prototyping and production-izing intelligent components that rely on state-of-the-art ML to reduce intensive manual data operations.

The candidate should have a BS in computer science or a related engineering field, with experience building production ML models using PyTorch and TensorFlow in a fast-paced, collaborative environment.

Qualifications

• BS in computer science, or similar engineering degree.
• Experience building production ML models using frameworks like PyTorch, TensorFlow is highly desired.

Responsibilities

• Researching, prototyping and production-izing intelligent ML components.
• Focus on multimodal ML and traditional ML to reduce manual data operations.

Skills

Software engineering

Data engineering

ML data pipelines

Communication skills

Education

BS in computer science

Tools

PyTorch

TensorFlow

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

Description

We are seeking an exceptional software & data engineer who is passionate about Apple products and values; who has a passion for data, is comfortable in a fast pace environment and who is committed to the hard work necessary to continuously improve our ML data pipelines. This position focuses on researching, prototyping and production-izing intelligent components that rely on state of the art ML (multimodal LLMs, traditional ML) to help us reduce intensive manual efforts on our data operations.

Minimum Qualifications

BS in computer science, or similar engineering degree.

Preferred Qualifications

Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teamsResults oriented with a desire to work in a fast-paced and collaborative work environmentExperience building production machine learning models using frameworks like PyTorch, TensorFlow is highly desired