Our mission is to provide an intelligent and rich user experience on Apple devices using spatial awareness and device context. We help you find your keys, locate your AirPods, remind you if you leave your devices behind in untrusted locations, and let you know how long your commute will be. We also help your loved ones know you made it home safely and help protect you against unwanted tracking. We have an opening for an experienced Machine Learning engineer for our small but growing team. The team currently focuses on designing and developing algorithms that help realize our mission. If applying machine learning algorithms to solve these problems and deploying them efficiently on edge devices excites you, we would want to talk to you!

DESCRIPTION

In this role you’ll be a part of a team of software engineers that design and develop the software stack that enables these user experiences. You will play an integral part in ideating new algorithms and models that would unlock new experiences or improve accuracy and performance of existing ones. You will work with other members of the team to design pipelines that yield the data needed to train and refine your algorithms and models. You will ensure product quality by developing and improving tooling (including internal iOS applications), continuous integration, and data analysis and visualization. You will communicate with cross-functional teams and leadership about your designs, your progress and any risks that you see. You’ll test your work, dogfood it, collect metrics, and iterate. Don’t forget to sweat the edge cases-an issue that impacts a couple percent of a couple billion devices is a big issue. Come join us to build the technology which enables incredible spatially-aware experiences to our users now and for the future.

MINIMUM QUALIFICATIONS

• Have 3-5+ years shipping production grade software and machine learning algorithms
• Possess excellent analytical, programming, and debugging skills
• Have good foundation in C++, Objective-C, or Swift
• Comfortable scripting and developing in Unix-like systems.
• Have Bachelor’s or graduate degree in Computer Science, Electrical and Computer Engineering, Mathematics, or similar area

PREFERRED QUALIFICATIONS

• Prior experience in pre-training and fine-tuning large models
• Prior experience in building models with sparse labelled data.
• Prior experience in efficient on-device deployment of ML models.
• Possess working knowledge of probability and statistics
• Can succeed in a collaborative environment and can clearly communicate while deftly driving multiple projects across many teams
• Are laser-focused on customer impact with attention to the smallest details that are meaningful to our customers
• Are obsessively passionate and inquisitive, and seek to solve everyday problems in innovative ways

Please refer the Job description for details