Talent.com
Sr Machine Learning Engineer

Sr Machine Learning Engineer

AdobeSan Jose, California, United States
8 hours ago
Job type
  • Full-time
Job description

JOB LEVEL

P55

EMPLOYEE ROLE

Individual Contributor

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!

About the Role

We are looking for a

Senior Machine Learning Engineer

to join our team of passionate ML and software engineers. This role is ideal for someone who thrives on enabling others-building the infrastructure, tools, and data pipelines that empower ML teams to deliver customer-facing features powered by

Document Cloud

data.

You’ll work on high-impact projects that combine

system design

ML model evaluation

, and

data pipeline development

, while ensuring our AI systems are

ethical

compliant

, and

scalable .

If you’re excited about shipping innovative ML capabilities, collaborating across teams, and shaping the future of AI platforms, we’d love to hear from you.

What You’ll Do

Build and maintain scalable AI data pipelines using

Databricks

Spark

, and cloud-native tools (e.g.,

Azure

AWS

).

Design and implement backend services and platform components that power ML and

Generative AI

features across products.

Develop and evaluate ML models using classical and deep learning techniques, including

GenAI

LLMs

SLMs

, and

Retrieval-Augmented Generation (RAG) .

Apply techniques such as

model distillation

and

fine-tuning

to optimize performance and efficiency of AI components.

Leverage

synthetic data generation

and

differential privacy

to enhance our products using customer interactions while preserving Adobe’s commitment to

ethical AI .

Collaborate with product, legal, and policy teams to ensure

regulatory compliance .

Create reusable templates, frameworks, and documentation to accelerate ML development across teams.

Monitor and improve the efficiency, accuracy, and fairness of AI workflows in production.

Mentor junior engineers and contribute to a culture of technical excellence and inclusion.

What You Need to Succeed

Graduate degree (MS or Ph.D.) in Computer Science, Machine Learning, or a related field.

5+ years of experience in ML engineering or platform roles, including work with existing scalable platforms (DataBricks, Snowflake, eg)

Strong software engineering skills, including CI / CD, version control, and code reviews.

Expert level proficiency in

Python

and ML frameworks.

Experience deploying ML models in production environments and managing

MLOps

workflows.

Familiarity with cloud platforms (Azure preferred) and

Databricks .

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

Excellent communication skills and a collaborative mentality.

Bonus Points

Experience with

document intelligence

OCR

, or

NLP

on unstructured data.

Knowledge of

vector databases

and modern NLP techniques.

Contributions to internal wikis, open-source ML tools, or platform documentation.

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 $182,900 $334,500 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.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!

Put your best foot forward

Update your Resume / CV and Workday profile - don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.

Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.

Check out these tips to help you prep for interviews.

If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

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 accommodations@adobe.com or call (408) 536-3015.

#J-18808-Ljbffr

Create a job alert for this search

Machine Learning Engineer • San Jose, California, United States