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Sr. Data/Machine Learning Platform Engineer 5.5
Sr. Data/Machine Learning Platform Engineer 5.5Adobe Inc. • San Jose, CA, United States
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Sr. Data / Machine Learning Platform Engineer 5.5

Sr. Data / Machine Learning Platform Engineer 5.5

Adobe Inc. • San Jose, CA, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

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.

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