Sr. Machine Learning Engineer

Posted 16 Days Ago
Be an Early Applicant
San Jose, CA
In-Office
143K-258K Annually
Senior level
Artificial Intelligence • Digital Media • Marketing Tech • Software
Adobe is changing the world through digital experiences.
The Role
The Senior Machine Learning Engineer will design and deploy ML models, build data pipelines, collaborate with teams, and mentor junior engineers.
Summary Generated by Built In

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!


 

The Opportunity:

We are looking for a Senior Machine Learning Engineer to join our team of motivated machine learning and software engineers. This role covers ML system design, prompt engineering, ML model evaluation, building data pipelines, prototype creation, and operationalization.
The ideal candidate will have a strong background in both classical and deep learning, along with experience developing and deploying production-ready ML and GenAI solutions. If you enjoy shipping impactful, customer-facing features, experimenting with new technologies, and contributing to high-visibility projects with room for creativity and ownership, this role is for you. Our work is dynamic, collaborative, and data-driven.

What you’ll do:

  • Bring a 0→1 product mindset, helping shape ideas into real, measurable impact.

  • Design, build, and optimize backend services that power ML and Generative AI features.

  • Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches.

  • Contribute to agentic systems and orchestration frameworks that enable intelligent, multi-step reasoning and task automation.

  • Collaborate with cross-functional teams to integrate ML solutions into production workflows.

  • Analyze and improve the efficiency, accuracy, and scalability of AI-enabled systems.

  • Stay up to date with advancements in ML, GenAI, and prompt optimization research.

  • Mentor junior engineers and help grow the team’s technical depth.

What You Need to Succeed:Required Qualifications
  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.

  • 5+ years of experience in machine learning engineering or applied research.

  • Strong software engineering fundamentals: version control, code review, CI/CD, testing.

  • Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, or SageMaker.

  • Proven experience deploying ML models in production environments.

  • Familiarity with cloud platforms (AWS, GCP, Azure) for ML deployment.

  • Strong understanding of data structures, algorithms, and system design.

  • Excellent communication, problem-solving, and technical leadership skills.

Preferred Qualifications
  • Experience with Generative AI, prompt optimization frameworks, and LLM-as-a-judge evaluation systems.

  • Understanding of Retrieval-Augmented Generation (RAG) and modern NLP pipelines.

  • Experience building agentic architectures or multi-agent orchestration systems.

  • Familiarity with MLOps tools and lifecycle management.

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
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The Company
HQ: San Jose, CA
21,000 Employees
Year Founded: 1982

What We Do

When you join Adobe Life in Austin, you’ll immerse yourself into a world of cutting-edge technology, exceptional colleagues and meaningful work that touches millions of people everywhere.

Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.

Why Work With Us

Adobe Austin embodies the culture of the Austin neighborhood around it which is diverse, enterprising and innovative.

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