Data Scientist

Summary

Do you thrive on working at analyzing state-of-the-art deep learning algorithms? Do you have a passion for constructing automation pipelines? Are you highly organized and meticulous? As part of our Video Engineering group, you’ll help deliver creative solutions to various problems that could impact the people all over the world. Our data scientist will work closely with other members of the Video Engineering group to mine data, implement model evaluation pipeline, analyze large scale data, visualize data, and ensure the delivery is of the highest quality. This position will also require strong coding skills, presentation skills, and collaborating with multiple teams (ex: machine learning, cloud infrastructure support).


Key Qualifications

The responsibilities of this position includes the following for current and future products:


Implement algorithm evaluation methods


Deep-dive failure analysis and pattern mining


Develop interpretation methods for deep learning models


Produce / present meaningful data insights with visualizations to higher-ups and across various involved teams


Using in-depth statistical analysis and large data analysis to drive actionable insights for customers.


Evaluate potential features based on customer requirements to make informed decisions for internal improvements.


Provide quantitative analysis of real-world trends and real customer data to understand current model and algorithm performance.


Create mathematical models to project outcomes and inform strategic, business decisions.


Capture and analyze real customer feedback on shipped products to aid future product development and roadmap.


Description

Are you passionate about building AI/ML products with focus on Augmented Reality (AR) and Virtual Reality (VR) applications? Are you passionate about The Video Computer Vision organization is working on exciting technologies for future Apple products. Our focus is on ML based solution around real time image and video. We have contributed to the FaceID and FaceKit project in the past and more recently the new LIDAR iPad sensor. As part of Spatial Perception Team (SPT) we focus on people and scene understanding. We are developing 2D and 3D deep learning technologies that will help bring the 3D world into your devices using our powerful LiDAR along with other sensors.


Education & Experience

Masters in Computer Science or related fields and work experience


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 $116,100 and $208,300 annualized, 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.


Role Number: 200503288