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Senior Machine Learning Engineer (Los Angeles)

Senior Machine Learning Engineer (Los Angeles)

AdobeLos Angeles, CA, US
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Senior Machine Learning Engineer

Changing the world through digital experiences is what Adobe's all about. We give everyonefrom emerging artists to global brandseverything 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 Adobe Business to Business (B2B) Solutions team is looking for a Senior Machine Learning Engineer. In this role you will build agentic systems to enhance Adobe's marketing products, ship AI-driven systems to production, and work closely with business and product teams. Your work will shape the future of our AI-driven innovations, enhancing user experiences and unlocking new business opportunities.

Key Responsibilities

The ideal candidate will focus on :

  • Creating innovative AI agents that enhance and extend our product ecosystem through automation and intelligence
  • Developing sophisticated agent frameworks that seamlessly integrate multiple AI technologies including LLMs and traditional ML
  • Building comprehensive testing methodologies to evaluate agent effectiveness, reliability, and alignment with objectives
  • Connecting existing systems with new agentic frameworks
  • Developing efficient prompt engineering strategies for large language model integration
  • Collaborating with cross-functional teams and stakeholders during development and productization of AI applications
  • Guiding junior team members, providing technical direction, and helping others grow their skills
  • Understanding how AI components interact within larger technical ecosystems and business processes

Required Qualifications

The ideal candidate will have :

  • Bachelor's or Master's degree in Computer Science, AI, or related technical field with 2-5 years of industry experience
  • Demonstrated experience with algorithm development and implementation
  • Proficiency in machine learning frameworks such as PyTorch, Huggingface, and modern programming languages
  • Experience with agentic frameworks such as LangGraph, LangChain
  • Experience with deep learning techniques and applications
  • Strong software engineering fundamentals and system design skills
  • Knowledge of statistical modeling and data analysis techniques
  • Preferred Qualifications

    The ideal candidate will also have :

  • Ph.D. in Computer Science, AI, or related technical field with 2+ years of industry experience
  • Experience with large language models and generative AI applications
  • Familiarity with agent architectures, planning systems, or autonomous systems
  • Knowledge of machine learning operations and deployment strategies
  • Understanding of AI safety and alignment considerations
  • Background in large-scale data processing and analysis
  • 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.

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

    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.

    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.

    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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    Senior Machine Learning Engineer • Los Angeles, CA, US

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