Job Description
Qualifications
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
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
Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work
Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in
Benefits
The U.S. pay range for this position is $162,000 -- $301,200 annually
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
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey
If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll
Responsibilities
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
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
Job description
JOB LEVEL
P50
EMPLOYEE ROLE
Individual Contributor
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.
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!
Put your best foot forward:
1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.
Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
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.
Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, ****** orientation, gender identity or expression, veteran status, or any other characteristics protected by law.
If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact [email protected]
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
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
Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work
Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in
Benefits
The U.S. pay range for this position is $162,000 -- $301,200 annually
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
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey
If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll
Responsibilities
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
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
Job description
JOB LEVEL
P50
EMPLOYEE ROLE
Individual Contributor
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.
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!
Put your best foot forward:
1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.
Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
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.
Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, ****** orientation, gender identity or expression, veteran status, or any other characteristics protected by law.
If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact [email protected]
💡 Quick Summary
Seeking a career-building opportunity? The Sr. Android Machine Learning Engineer position is now open for candidates interested in the Android Developer Jobs sector. This role in San Jose offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Android Developer Jobs is a plus.
