San Jose, California, United States · On-site
$143k–$271k/yr
Job Description 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 build and deliver outstanding digital experiences.…
Skills: Generative AI, Machine Learning, Computer Science, PyTorch, Python
San Jose, California, United States · On-site
$152k–$265k/yr
The Opportunity Join Adobe's AI Foundations team within the Search, Discovery & Content AI (SDC) organization and help build the next generation of AI-powered retrieval, matching, ranking, and content understanding syste…
Skills: Machine Learning, Python, PyTorch, TensorFlow, JAX
San Jose, California, United States · On-site
The Role: Most marketing operations roles are archaeology. You inherit ten years of someone else's decisions: orphaned fields, four competing definitions of an MQL, attribution nobody trusts, a routing rule from 2019 tha…
Skills: Marketing Operations, HubSpot, Data Modeling, Multi-touch Attribution, Revenue Operations
San Jose, California, United States · Hybrid
$152k–$190k/yr
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and d…
Skills: Go, Rust, Python, Systems engineering, Security engineering
San Jose, California, United States · Hybrid
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technolo…
Skills: Data Science, Python, SQL, Snowflake, Machine Learning
San Jose, California, United States · Hybrid
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technolo…
Skills: GPU Runtime, System Software, C++, C, Parallel Programming
San Jose, California, United States · On-site
$173k–$216k/yr
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain d…
Skills: Java, Python, Rust, Apache Pulsar, Kafka
San Jose, California, United States · On-site
$175k–$215k/yr
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain d…
Skills: Data Engineering, Apache Spark, Flink, Airflow, dbt
San Jose, California, United States · On-site
$144k–$180k/yr
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain d…
Skills: Flight Test Data Acquisition, Structural Loads Analysis, Python, MATLAB, Sensor Integration
San Jose, California, United States · On-site
$127k–$158k/yr
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain d…
Skills: Factory Simulation, Production Flow Analysis, Discrete Event Simulation, Line Balancing, Capacity Planning
San Jose, California, United States · On-site
$160k–$180k/yr
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain d…
Skills: AI Infrastructure, MLOps, Kubernetes, Docker, AWS
San Jose, California, United States · On-site
$173k–$216k/yr
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain d…
Skills: Full-stack development, Data engineering, RESTful APIs, Kubernetes, AWS
San Jose, California, United States · On-site
$175k–$215k/yr
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain d…
Skills: Full Stack Development, Backend Development, Frontend Development, API Architecture, Database Schema Design
San Jose, California, United States · On-site
$160k–$198k/yr
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain d…
Skills: Java, Python, Rust, Apache Pulsar, Kafka
San Jose, California, United States · On-site
$173k–$216k/yr
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain d…
Skills: Java, Python, Rust, Apache Flink, Docker
San Jose, California, United States · On-site
$173k–$216k/yr
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain d…
Skills: AI Infrastructure, MLOps, Kubernetes, Docker, AWS
San Jose, California, United States · On-site
$169k–$178k/yr
Archer is an aerospace and defense company headquartered in San Jose, California, building the aircraft and technology that will define the next era of flight. The company works across air taxis, UAS, AI and powertrain d…
Skills: Python, AWS, Data Governance, ETL Pipeline, Docker
San Jose, California, United States · Remote OK
$135k–$180k/yr
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…
Skills: Compensation management, Incentive program design, Workday, HRIS, Data analysis
San Jose, California, United States · Hybrid
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technolo…
Skills: System Architecture, Test & Measurement, FPGA, Adaptive SoCs, AI Engines
San Jose, California, United States · On-site
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technolo…
Skills: GPU Architecture, GEMM, C++, Assembly Programming, Python
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
The role involves designing and implementing mid-training approaches to improve multimodal generative models for image, video, and audio editing. You will own specific components of the training stack, conduct experiments, and collaborate with cross-functional teams to enhance model quality and scalability.
Candidates must possess a Master’s or Ph.D. degree in Computer Science, Machine Learning, or a related field. Strong proficiency in Python, PyTorch, and modern generative architectures like diffusion models is required, along with experience in large-scale training workflows.
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 build and deliver outstanding digital experiences. We’re passionate about empowering people to develop beautiful and powerful images, videos, and apps, transforming how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to crafting outstanding employee experiences. Everyone is respected and has access to equal opportunity. We realize new ideas can come from anywhere in the organization, and we know the next big idea could be yours!
Adobe Firefly’s ASML group invites research scientists and engineers passionate about conditional generation and editing of large generative AI models. This role emphasizes images and videos. We strive to advance generative AI technology while guaranteeing models possess excellent quality and control.
We are especially looking for candidates experienced in large-scale, industry-level pre-training and mid-training of multi-modality generative models. This role has a direct effect on the quality of Adobe’s image and video generation models, supporting next-generation creative workflows for millions of users.
As an Applied Scientist at Adobe, you will join a world-class team of applied researchers and engineers building the future of digital experiences. You will have the opportunity to innovate across the full training stack, collaborate across data, modeling, and product, and see your work ship to customers worldwide.
Job Responsibilities
Contribute to the design, implementation, and evaluation of mid-training approaches that improve editing capabilities for Adobe's multimodal generative models across image, video, and audio.
Own well-defined components within the mid-training stack — such as image-to-image editing or instruction-based editing — designing and running experiments to test hypotheses and identify quality gaps.
Build and maintain large-scale captioning pipelines and support VLM finetuning efforts to improve multimodal understanding across visual and auditory domains.
Assist in building scalable workflows for data curation, quality improvements, and distributed training, applying research insights from diffusion models and large-scale training to practical model improvement.
Collaborate closely with research, data, evaluation, infrastructure, pre-training, and post-training teams, contributing to knowledge sharing and documentation of experiments, datasets, and training approaches.
What you'll need to succeed
Possession of a Master’s or Ph.D. degree in Computer Science, Machine Learning, or a related field.
Solid understanding of modern generative architectures such as diffusion models, with familiarity with conditional generation or editing methods for image, video, or audio tasks.
Experience implementing machine learning models using modern deep learning frameworks (e.g., PyTorch), with exposure to large-scale or distributed training workflows.
Experience or research background in VLM finetuning with a focus on image, video, and audio understanding, including adapting pretrained vision-language models for downstream multimodal tasks.
Familiarity with captioning for large-scale data, including designing or applying automated captioning pipelines for image, video, and audio datasets.
Strong coding and prototyping ability in Python and PyTorch.
Excellent communication skills and ability to collaborate across cross-functional teams.
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.
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.


In California, the pay range for this position is $187,100 - $270,950
In Washington, the pay range for this position is $168,600 - $244,200

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.
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.
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.
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.
Empowering everyone to create. ✨
Adobe empowers everyone, everywhere to imagine, create, and bring any digital experience to life. From creators and students to small businesses, global enterprises, and nonprofit organizations — customers choose Adobe products to ideate, collaborate, be more productive, drive business growth, and build remarkable experiences.
Offices: 345 Park Avenue, San Jose, CA 95110-2704, US · 801 N 34th St, Seattle, WA 98103, US · 201 Sussex St, Sydney, NSW 2000, AU · 112 Avenue Kleber, Paris, IdF 75116, FR · Georg-Brauchle-Ring 58, Munich, BY 80992, DE
Based on 939 listings with disclosed salaries, most data & analytics jobs in San Jose, CA pay between $110k–$293k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,040 open data & analytics positions in San Jose, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Adobe, Capital One, AMD, Google, WD, among others. Browse the listings above to see every active employer.
Yes — 365 of the 1040 open data & analytics positions offer remote or hybrid work (68 remote, 297 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
