Adobe Inc.
Senior ML Platform Engineer - Data and Systems 5.5
Adobe Inc., San Jose, California, United States, 95199
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 and 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 classic 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.
10+ years of experience in ML engineering or platform roles, including work with existing scalable platforms (DataBricks, Snowflake, etc.).
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.
Compensation 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.
State‑Specific Notices Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. (California)
If this role is open to hiring in Colorado, 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.
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.
Equal Employment Opportunity 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.
Accessibility 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
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 and 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 classic 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.
10+ years of experience in ML engineering or platform roles, including work with existing scalable platforms (DataBricks, Snowflake, etc.).
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.
Compensation 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.
State‑Specific Notices Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. (California)
If this role is open to hiring in Colorado, 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.
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.
Equal Employment Opportunity 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.
Accessibility 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