Machine Learning Engineer

Apple's is looking for extraordinary engineers and researchers interested in developing the next generation of algorithms and data capture systems to support with Health related features! As part of the team you will be responsible for developing machine learning algorithms from scratch, including; data collection, algorithm design and development, model evaluation.

The team works on both long-term research projects and delivering solutions for upcoming customer facing features. This role has a particular focus on developing data capture systems, which are critical for development and validation across all of the team's projects.

Description

As a machine learning engineer, you will be responsible for developing algorithms that power exciting and important Health features for our customers.

Developing scalable data capture systems with a variety of automation tooling
Build robotics systems that can be used to scale data collections
Design and develop ML algorithms, using state of the art models and architectures
Define robust validation processes to ensure high quality of the features delivered to customers

Minimum Qualifications

• Masters degree in engineering related discipline and a minimum of 2 years relevant industry experience
• Experience developing ML algorithms for real-world applications
• Validated coding skills in Python

Preferred Qualifications

• PhD in engineering related discipline
• Experience working with robotics systems
• Hands-on experience collecting data for ML algorithms
• Experience working on computer vision algorithms
• Passion for Health related technologies