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COMPLETE Sr ML Data Engineer - San Jose

1 day ago


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Job Opportunity Details

Type

Full Time

Salary

Not Telling

Work from home

No

Weekly Working Hours

Not Telling

Positions

Not Telling

Working Location

San Jose, San Jose, United States   [ View map ]

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!


 

What you will do:

  • Design, architect and build data insight dashboards and visualizations.
  • Provide reports related to large-scale data metrics related but not limited to data coverage, freshness, quality.
  • Work closely with data platform engineers and architects to identify requirements in order to improve the flawless operation of the data platform for machine learning and data science needs.
  • Lead and operate large-scale ETL pipelines in collaboration with other teams such as data platform engineering etc.
  • Write high quality, product level code that is easy to maintain and test following standard methodologies.

What you will need to succeed:

  • 7+yrs of proficiency in Python and SQL

  • Expert in one or more data science tools such as Pandas, Numpy, Octave, R

  • Experience building data processing machine learning models in a product environment (5+ yrs)

  • Experience with machine learning (ML) frameworks such as Scikit Learn, TensorFlow, Pytorch.

  • Strong fundamentals in statistics as well as shown skills in data visualizations.

  • Hands on experience with high-dimensional, large datasets

  • Understanding of concepts in machine learning for data processing (e.g. Anomaly detection, etc.)

  • Experience with A/B testing and sampling methods.

  • B.S., M.S, or Ph.D. in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or a related area.

  • #FireflyGenAI

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 $141,100 -- $281,700 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 accommodations@adobe.com or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.


More Information

Application Details

  • Organization Details
    Adobe US
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