Data Scientist Jobs at Adobe with Visa Sponsorship
Data Scientist jobs at Adobe span its cloud, analytics, and AI product lines, covering experimentation, machine learning, and customer intelligence. Adobe has a strong track record of sponsoring international talent at the data science level, supporting multiple visa pathways from initial work authorization through permanent residence.
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Get Access To All JobsABOUT THE ROLE
We’re looking for a Principal ML Engineer to architect and scale the multimodal data processing pipelines and infrastructure behind Adobe Firefly’s multimodal foundation models (image, video, audio). In this role, you’ll sit at the intersection of data engineering and applied ML building distributed, GPU-accelerated systems that turn billions of raw assets into training-ready data at scale.
Your work will directly determine how fast and how well Adobe models can learn directly impacted by the throughput and reliability of our data pipelines, and the quality of data that reaches training. This is a senior individual contributor role with broad technical influence across data, infrastructure, and modeling teams.
WHAT YOU’LL DO
OPTIMIZE DATA PROCESSING PIPELINES AT SCALE
- Architect and optimize large-scale distributed pipelines that process billions of images, video, and audio assets through ML workflows into training-ready data
- Scale up inference throughput across the pipeline (batching, parallelism, hardware utilization) to turn raw collected data into training data faster and more cheaply
- Identify and eliminate bottlenecks across ingestion, processing, and delivery, from storage and I/O to compute scheduling
ARCHITECT SCALABLE DATA INFRASTRUCTURE
- Design systems that reliably store, index, and serve billions of data points, each requiring substantial processing spanning large-scale databases, distributed storage, and high-throughput compute
- Apply deep expertise in distributed systems and frameworks such as Ray (or equivalent) to orchestrate large-scale, GPU/CPU-heavy data workloads
- Own architecture decisions including database and storage choices, job scheduling, GPU cluster utilization that let the platform scale alongside data and model growth
DRIVE DATA CURATION FOR MODEL TRAINING
- Bring a strong ML background, especially inference optimization for VLMs and LLMs and data curation for training
- Partner closely with modeling teams to understand what data improves training outcomes, and translate that into pipeline and curation requirements
- Operate as a hands-on technical leader who bridges data engineering and applied ML
WHAT YOU NEED TO SUCCEED
- 10+ years of experience in data engineering, ML infrastructure, or distributed systems, including work at large scale (billions of records or assets)
- Strong software engineering background, with hands-on expertise in distributed systems and frameworks such as Ray, Spark, or equivalent large-scale data processing frameworks
- Proficiency in Python, plus strong experience in a systems-level language (C++, Rust, Go, or Java) with strong debugging skills across distributed and ML-centric runtime environments
- Deep knowledge of databases and storage systems at scale such as data lakes, indexing, and retrieval across billions of data points
- Strong ML background, particularly expertise in optimizing GPU inference pipelines for VLMs, LLMs, or other large models (batching, quantization, serving, throughput/latency tradeoffs)
- Experience with data curation for model training: understanding what makes data valuable for training generative or multimodal models, not just how to move it efficiently
- Comfort operating across the full stack, from low-level systems and GPU optimization to higher-level data strategy and curation decisions
- Ability to communicate clearly and partner effectively across data, infrastructure, and modeling teams
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
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 protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range: 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 $206,300 - $388,000 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.
In California, the pay range for this position is $268,000 - $388,000
In Washington, the pay range for this position is $247,200 - $357,900
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.
ABOUT THE ROLE
We’re looking for a Principal ML Engineer to architect and scale the multimodal data processing pipelines and infrastructure behind Adobe Firefly’s multimodal foundation models (image, video, audio). In this role, you’ll sit at the intersection of data engineering and applied ML building distributed, GPU-accelerated systems that turn billions of raw assets into training-ready data at scale.
Your work will directly determine how fast and how well Adobe models can learn directly impacted by the throughput and reliability of our data pipelines, and the quality of data that reaches training. This is a senior individual contributor role with broad technical influence across data, infrastructure, and modeling teams.
WHAT YOU’LL DO
OPTIMIZE DATA PROCESSING PIPELINES AT SCALE
- Architect and optimize large-scale distributed pipelines that process billions of images, video, and audio assets through ML workflows into training-ready data
- Scale up inference throughput across the pipeline (batching, parallelism, hardware utilization) to turn raw collected data into training data faster and more cheaply
- Identify and eliminate bottlenecks across ingestion, processing, and delivery, from storage and I/O to compute scheduling
ARCHITECT SCALABLE DATA INFRASTRUCTURE
- Design systems that reliably store, index, and serve billions of data points, each requiring substantial processing spanning large-scale databases, distributed storage, and high-throughput compute
- Apply deep expertise in distributed systems and frameworks such as Ray (or equivalent) to orchestrate large-scale, GPU/CPU-heavy data workloads
- Own architecture decisions including database and storage choices, job scheduling, GPU cluster utilization that let the platform scale alongside data and model growth
DRIVE DATA CURATION FOR MODEL TRAINING
- Bring a strong ML background, especially inference optimization for VLMs and LLMs and data curation for training
- Partner closely with modeling teams to understand what data improves training outcomes, and translate that into pipeline and curation requirements
- Operate as a hands-on technical leader who bridges data engineering and applied ML
WHAT YOU NEED TO SUCCEED
- 10+ years of experience in data engineering, ML infrastructure, or distributed systems, including work at large scale (billions of records or assets)
- Strong software engineering background, with hands-on expertise in distributed systems and frameworks such as Ray, Spark, or equivalent large-scale data processing frameworks
- Proficiency in Python, plus strong experience in a systems-level language (C++, Rust, Go, or Java) with strong debugging skills across distributed and ML-centric runtime environments
- Deep knowledge of databases and storage systems at scale such as data lakes, indexing, and retrieval across billions of data points
- Strong ML background, particularly expertise in optimizing GPU inference pipelines for VLMs, LLMs, or other large models (batching, quantization, serving, throughput/latency tradeoffs)
- Experience with data curation for model training: understanding what makes data valuable for training generative or multimodal models, not just how to move it efficiently
- Comfort operating across the full stack, from low-level systems and GPU optimization to higher-level data strategy and curation decisions
- Ability to communicate clearly and partner effectively across data, infrastructure, and modeling teams
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
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 protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range: 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 $206,300 - $388,000 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.
In California, the pay range for this position is $268,000 - $388,000
In Washington, the pay range for this position is $247,200 - $357,900
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.
Tips for Finding Data Scientist Jobs at Adobe
Align your portfolio to Adobe's product data
Adobe evaluates Data Scientists on applied ML and experimentation work tied to real product outcomes. Build portfolio projects around customer analytics, A/B testing frameworks, or recommendation systems that mirror what Adobe Experience Cloud and Creative Cloud teams actually ship.
Target roles that match your visa type
Adobe sponsors H-1B, E-3, TN, and F-1 OPT across data science roles, but not every role activates every pathway. Use Migrate Mate to filter open Data Scientist positions at Adobe by the visa type your situation requires before applying.
Document degree-to-role alignment early
H-1B specialty occupation approval depends on your degree field matching the role's duties. For Adobe data science positions, a degree in statistics, computer science, or a quantitative field maps cleanly. If your degree title is adjacent, gather documentation showing coursework overlap before USCIS reviews your petition.
Start OPT applications before your program ends
USCIS recommends filing the OPT EAD application up to 90 days before your program end date. Adobe data science hiring cycles often take 8 to 12 weeks, so beginning your OPT paperwork in parallel with your job search prevents a gap between your start date and work authorization.
Ask about LCA filing timelines during offers
Before accepting an offer, confirm when Adobe's legal team will file the Labor Condition Application with DOL. For H-1B transfers or new filings, the LCA must be certified before the I-129 is submitted, and delays here can push your actual start date by several weeks.
Prepare for PERM-stage qualification reviews
Adobe sponsors EB-2 and EB-3 green cards for data science roles, which requires PERM labor certification. The DOL will verify that your qualifications match the job description exactly as posted, so any mismatch between your resume and the role's minimum requirements can stall the process.
Frequently Asked Questions
Does Adobe sponsor H-1B visas for Data Scientists?
Yes, Adobe sponsors H-1B visas for Data Scientist roles. The process requires Adobe to file a Labor Condition Application with the DOL and then submit an I-129 petition to USCIS on your behalf. If you're entering the H-1B cap for the first time, you'll need to be selected in the annual lottery, which opens in March for an October 1 start date. Transfers from an existing H-1B are not subject to the cap.
How do I apply for Data Scientist jobs at Adobe?
You can browse and apply for Data Scientist positions at Adobe directly through Migrate Mate, which filters roles by visa sponsorship eligibility so you can focus on positions that match your work authorization. Adobe's hiring process for data science roles typically includes a recruiter screen, technical assessments covering statistics and ML fundamentals, and several rounds of interviews with the data science and product teams.
Which visa types does Adobe commonly use for Data Scientist roles?
Adobe supports several visa categories for Data Scientists, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for current students, J-1 visa for exchange visitors, and immigrant visa pathways including EB-2 and EB-3 for permanent residence. The right pathway depends on your nationality, education, and where you are in the immigration process.
What qualifications does Adobe expect for Data Scientist roles?
Adobe data science roles typically require a bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field. Beyond credentials, Adobe looks for hands-on experience with experimentation at scale, proficiency in Python or R, and familiarity with large dataset workflows. Roles tied to Adobe Experience Cloud often also expect knowledge of marketing analytics or customer behavior modeling.
How do I think about timing when targeting Adobe for visa sponsorship?
Timing matters significantly depending on your visa type. F-1 OPT gives you up to 12 months of work authorization after graduation, extendable to 36 months with a STEM extension, so applying while OPT is active gives Adobe time to file an H-1B on your behalf. H-1B cap filings open in March each year, so any offer accepted before then can be petitioned in that cycle for an October 1 start date.