Home Invites Members Groups Events Careers Videos News Photos Blogs Polls Singles Forums Chat
Home > Career Center > Job Seekers > Job Search
Job Title: Computer Vision/Machine Learning Algorithm Engineer
Company Name: Apple
Location: Sunnyvale, CA
Position Type: Full Time
Post Date: 05/15/2024
Expire Date: 07/12/2024
Job Categories: Engineering, Healthcare, Practitioner and Technician, Quality Control, Research & Development, Medical, Writing/Authoring
Job Description
Computer Vision/Machine Learning Algorithm Engineer
Summary

Posted: May 13, 2024

Role Number:200551190

Want to ship amazing experiences in Apple products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered biometric features such as Face ID and Optic ID as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, state-of-the-art experiences. Come shape Apple products as a driven and dedicated Computer Vision / Machine Learning Algorithm Engineer to push the limits of biometric ML algorithms with hands-on work and real world and simulated data in an innovative team and be part of building the next big thing.

Description

As a CV/ML engineer, you will develop new technologies for Apple’s next generation products. The focus will be innovating and delivering effective, efficient and well-tested computer vision based solutions from prototyping to shipping that are often deployed on edge devices. Beside domain expertise and technical knowledge the ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences and hardware that will be used by millions.

Key Qualifications

  • Solid background in ML and deep learning with expertise in computer vision
  • Strong proficiency in writing clean and well-structured code preferably in Python
  • Experience for modern deep learning models and development using ML frameworks such as TensorFlow and PyTorch
  • Excellent communication and collaboration skills
  • Creativity and curiosity for solving highly complex problems
  • Experience in biometrics, face tracking, gaze tracking, classical image processing, or computer vision is a plus
  • Familiarity with cloud technologies is a plus


Education & Experience

BS and a minimum of 3 years relevant industry experience

Additional Requirements

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 $138,900 and $256,500, 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.



More

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Share |
Contact Information
Company Name: Apple
Website:https://jsv3.recruitics.com/redirect?rx_cid=3427&rx_jobId=200551190&rx_url=https%3A%2F%2Fjobs.apple.com%2Fen-us%2Fdetails%2F200551190%2Fcomputer-vision-machine-learning-algorithm-engineer%3Fboard_id%3DJB087%26rx_job%3D200551190%26rx_medium%3Dpost%26rx_paid%3D1%26rx_r%3Dnone%26rx_source%3Dhbcuconnect%26rx_ts%3D20240612T085601Z%26team%3DMLAI?utm_source=HBCUConnect&utm_medium=posting&utm_campaign=202
Apply Now | Forward Job to a Friend | More Jobs From This Employer

(Advertise Here)
Who's Online
>> more | invite 
Black America Resources
100 Black Men of America
www.100blackmen.org

Black America's Political Action Committee (BAMPAC)
www.bampac.org

Black America Study
www.blackamericastudy.com

Black America Web
www.blackamericaweb.com

CNN Black In America Special
www.cnn.com/blackinamerica

NUL State of Black America Report
www.nul.org

Most Popular Bloggers
agnes levine has logged 88833 blog subscribers!
tanisha grant has logged 47506 blog subscribers!
dea. ron gray sr. has logged 31006 blog subscribers!
minister jazz' thomas-jones has logged 9739 blog subscribers!
rickey johnson has logged 9189 blog subscribers!
>> more | add 
Latest Jobs
Instructor of English with Danville Community College in Danville, VA.
Aviation Maintenance Technology Instructor with Danville Community College in Danville, VA.
Coordinator of Title IX, Access, and Inclusion with Danville Community College in Danville, VA.
Advanced Nurse Practitioner (40 Hours) - Apply by 6/20/24 with State of Connecticut - Department of Correction in New Haven, CT, CT.
Accountant with State of Connecticut in Hartford, CT.
>> more | add