Machine Learning Engineer

Expired
Company:  Karkidi
Location: San Jose
Closing Date: 04/11/2024
Salary: £250 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

The Adobe Document Cloud Data Science team is looking for a Machine Learning Engineer who can apply computer vision techniques and help us build solutions that will drive the success of our Document Cloud business. This is an excellent opportunity to invent and build the creative tools of the future! You will have the opportunity to exercise creativity in problem solving by delivering inventive new solutions for hard research problems and incorporate these algorithms into Adobe Scan, thus putting your work in the hands of millions of users. We invite you to join a team of hardworking engineers to elevate our customer experiences to the next level.

What you’ll do

  • Develop and implement scalable and efficient models on large-scale datasets to address various business problems using sophisticated computer vision and machine learning techniques.
  • Solve challenging Data Science problems such as online learning and reinforcement learning when addressing business problems in digital marketing.
  • Collaborate with product management and engineering groups to develop new products and features.
  • Create a winning culture built on teamwork and shared accomplishments - have fun along the way!

What you need to succeed

  • Expertise in deep neural networks, vector graphics, image processing, and computer vision.
  • A strong personal research track record including peer-reviewed publications in top computer vision, graphics, and machine learning venues.
  • Strong Python and deep learning development skills and experience with one or more training or deployment environments (PyTorch, TensorFlow).
  • Experience with the design of high-level APIs and frameworks.
  • Expertise in optimizing and deploying machine learning models on devices.
  • Basic knowledge of C++.
  • PhD or MS degree in Computer Science or a related technical field, with a focus on computer vision and/or machine learning.
  • Excellent communication and relationship skills, and a great teammate.
  • Knowledge of iOS and Android app development is a plus.

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $135,200 -- $250,900 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles, starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call (408) 536-3015.

#J-18808-Ljbffr
Karkidi
  • Similar Jobs

  • Machine Learning Engineer, Applied Machine Learning

    Sunnyvale
    View Job
  • Machine Learning Engineer - Machine Learning Infrastructure

    San Jose
    View Job
  • Machine Learning Engineer, Applied Machine Learning

    Sunnyvale
    View Job
  • Machine Learning Engineer, Applied Machine Learning

    Sunnyvale
    View Job
  • Machine Learning Engineer - Machine Learning Infrastructure

    San Jose
    View Job
An error has occurred. This application may no longer respond until reloaded. Reload 🗙