Sr. Android Machine Learning Engineer

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 Photoshop team is looking for a skilled ML Engineer who is passionate about advancing technology and building creative imaging experiences that inspire our customers. You’ll work within a dynamic, customer-centric GenAI and Vision Applied Research team, where you’ll be responsible for transforming research models into production-ready solutions for mobile platforms. Your work will help bring the “Adobe Magic” to life, enhancing the Photoshop ecosystem to deliver an exceptional user experience.

Key Responsibilities

• Collaborate Across Teams: Work closely with researchers, software engineers, UI designers, product managers, and quality engineers to integrate advanced imaging and AI/ML features into the Photoshop ecosystem as polished, user-friendly products.
• Model Conversion: Convert models from frameworks like PyTorch to formats such as LiteRT (TensorFlow Lite) or ONNX for optimal performance on various platforms.
• Model Optimization: Use state-of-the-art techniques (quantization, palettization, sparsity induction, pruning, etc.) to compress and accelerate large models, ensuring efficiency on resource-limited devices.
• Performance Analysis & Optimization: Analyze models for efficient execution on Android GPU/NPU, diagnose performance bottlenecks, and collaborate with hardware teams to improve latency, power usage, and memory footprint.
• Model Deployment: Partner with application developers to integrate optimized models into applications, maintaining a seamless user experience.
• Quality & Customer Advocacy: Act as a champion for product quality and a customer advocate, ensuring that all solutions meet Adobe’s high standards for excellence.
• Continuous Improvement: Bring energy, flexibility, focus, and dedication to every project. Embrace new challenges and proactively acquire knowledge and skills to deliver impactful results.

What You Need to Succeed

• Educational Background: MS or PhD in Machine Learning Engineering.
• Experience: 5+ years of experience in ML engineering, with a proven record of designing, implementing, and delivering high-quality AI software solutions.
• Platform Expertise: Strong experience with the Android platform, covering both application development and ML engineering.
• Programming Skills: Proficiency in modern C/C++ and JavaScript, with extensive experience in large-scale application development.
• Computer Vision Knowledge: Experience with computer vision is preferred.
• Cross-Platform Development: Experience with development for multiple platforms (iOS, desktop, web/WASM) is a plus.
• Coding Standards: Commitment to best coding practices.
• Problem-Solving: Superior analytical and problem-solving skills, including the ability to debug code within large, complex codebases.
• Communication Skills: Excellent written and verbal communication abilities.
• Customer-Focused Mindset: A passion for creating high-quality applications that users love.

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 $162,000 -- $301,200 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.

Adobe is proud to be an Equal Employment Opportunity and affirmative action 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.
 

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