Principal Engineer AI/ML at Adobe Systems Incorporated - Belgium

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

362400.0

Posted On

16 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Python, PyTorch, TensorFlow, CUDA, Data Engineering, Feature Engineering, Model Optimization, Algorithm Evaluation, A/B Testing, Scalable Systems, Data Drift Management, Cold-Start Scenarios, Mentoring, Architectural Decisions

Industry

Software Development

Description

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 seeking a highly experienced and innovative Principal Engineer to join the GenStudio Engineering team. This role is ideal for a technical leader who thrives in a fast-paced environment and is passionate about building scalable, high-impact software solutions. You will drive architectural decisions, mentor engineers, and influence the technical direction of GenStudio. What You’ll Do Design, build, test, and maintain AI/ML-based systems and applications that serve as the backbone of scalable, production-ready technology stacks. Frame product features as ML tasks (e.g., classification, recommendation, context engineering). Analyze trade-offs across cost, latency, and accuracy while ensuring compliance with UX, privacy, legal, and security constraints. Assess data distribution (variance, sampling, drift) and manage data labeling workflows involving LLMs, SMEs, or user-generated activity. Organize datasets for training, validation, and testing, and engineer high-quality features using normalization, smoothing, and weighting techniques. Implement and adapt techniques from academic research and industry papers; evaluate algorithmic trade-offs considering data requirements, latency, and runtime. Handle cold-start scenarios and mitigate overfitting/underfitting challenges. Define offline benchmarks and metrics; design and analyze A/B tests to validate online performance. Architect scalable ML systems (e.g., multi-agent, recommender, active learning, multi-stage model training, enterprise search) for both offline and online workflows. Optimize model development and deployment in GPU/TPU environments using PyTorch. Work cross-functionally with data, research, and product teams to translate models into production-ready services. What You’ll Need to Succeed 14+ years of experience in software engineering, with a strong track record of technical leadership. Bachelor's or Master’s degree in Computer Science or a related field (or equivalent experience). Proven expertise in Machine Learning and Deep Learning, including model design, optimization, and fine-tuning. Strong understanding of transfer learning principles and their application in production settings. Proficiency in Python (especially for data workflows) and experience with ML/DL frameworks such as PyTorch, TensorFlow/Keras, CUDA, Hugging Face, and JAX. Experience designing and deploying scalable AI/ML systems optimized for GPU/TPU environments. Solid grasp of data engineering concepts—including dataset management, feature engineering, and handling data drift. Ability to balance theoretical ML knowledge with practical, high-performance implementation. Strong understanding of how to transform models into reliable, production-grade services. Preferred Attributes Recognized as a thought leader within and beyond the organization. Experience mentoring senior engineers and shaping engineering culture. Demonstrated ability to drive innovation and evangelize new technologies. Experience with building GenAI-first applications. Contributions to industry forums, conferences, or open-source communities. 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 $193,900 -- $362,400 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 accommodations@adobe.com or call (408) 536-3015. 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. There's more than meets the eye when it comes to Adobe. Take the quiz and see how well you know us! 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.

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Responsibilities

Design, build, test, and maintain AI/ML-based systems and applications. Drive architectural decisions and mentor engineers while influencing the technical direction of the GenStudio Engineering team.