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Adobe

Senior ML Engineer

Reposted 2 Days Ago
In-Office
San Jose, CA
143K-258K Annually
Senior level
In-Office
San Jose, CA
143K-258K Annually
Senior level
The Senior ML Engineer will develop and implement ML models, collaborate with teams, and enhance AI workflows while guiding junior members.
The summary above was generated by AI

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!


 

We are seeking a Senior ML Engineer to join our team of dedicated machine learning and software engineers. This role involves timely engineering, system development, ML model assessment, constructing data pipelines, composing prototypes, evaluation, operationalization.

Looking for individuals skilled in classical and deep learning, able to build and implement ML solutions for production environments. If you thrive on delivering innovative customer features, adopting new technologies, and contributing to high-visibility projects, this role may be a good match. The atmosphere is dynamic, fast-paced, creative, collaborative, and data-centric.

What you’ll do
  • Contribute to the backend services supporting ML and Generative-AI functionalities.
  • Build, develop, implement, and evaluate machine learning models using classical and deep learning approaches, as well as GenAI.
  • Collaborate with cross-functional teams to integrate ML solutions into existing products and services.
  • Analyze and improve efficiency, accuracy, scalability, and stability of AI-enabled workflows.
  • Stay current with the latest advancements in ML and AI technologies.
  • Guide and support junior team members to aid in the overall development of the ML team.
What you need to succeed

Required Qualifications:

  • Completed a degree in Computer Science, Machine Learning, or a related field.
  • 5+ years of experience in machine learning engineering roles.
  • Strong software engineering skills, including version control, code review, and CI/CD practices.
  • Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Sagemaker.
  • Experience in developing and deploying ML models in production environments.
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for ML deployment.
  • Strong understanding of data structures, algorithms, and system development.
  • Strong leadership and team-building skills.
  • Excellent communication and presentation skills.
  • Familiarity with Generative AI technologies and applications is advantageous.
  • Familiarity with Retrieval-Augmented Generation (RAG) and other contemporary NLP methods is advantageous.
  • Having experience with MLOps practices and tools is advantageous.
  • Having a background in Recommendation Systems is advantageous.

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 $142,700 -- $257,600 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.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe is proud to be an Equal Employment Opportunity 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 [email protected] or call (408) 536-3015.

Top Skills

AWS
Azure
GCP
Python
PyTorch
Sagemaker
Scikit-Learn
TensorFlow
HQ

Adobe San Jose, California, USA Office

345 Park Avenue, San Jose, CA, United States

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