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Applied Jobs in California (NOW HIRING)

Adobe is seeking Applied Scientists at both early-career and senior levels to develop AI innovations from research concepts through product validation and technology transfer. You will identify ...

They are seeking an Applied Data Scientist to build and maintain machine learning models, apply NLP techniques, and partner with engineering to move models into production. Responsibilities : • ...

They are seeking an Applied Data Scientist to build and maintain machine learning models, design experiments, and apply NLP techniques to enhance their AI products. Responsibilities : • Build and ...

Applied Researcher II At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to ...

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Director, Applied Machine Learning

San Francisco, CA · On-site

$250 - $350/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role As Director of Applied ML, you'll lead the function that sits at the intersection of frontier AI research and enterprise-scale delivery. You'll own three core pillars: post-training ...

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Applied Researcher II At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to ...

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Manager - Applied AI

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Who We're Seeking Qvest US is seeking an experienced Project Manager in Technical Delivery, Applied AI, and Change Management to join our growing Applied AI practice. In this role, you will lead ...

Showing results 21-40

Applied information

See California salary details

$30.6K

$57.4K

$85.4K

How much do applied jobs pay per year?

As of Aug 15, 2026, the average yearly pay for applied in California is $57,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $65,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an applied scientist, and why are they important?

To thrive as an Applied Scientist, you need a strong background in mathematics, statistics, and programming, usually supported by an advanced degree in a relevant field like computer science, engineering, or data science. Familiarity with tools such as Python, R, SQL, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with big data platforms are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills that distinguish top performers in this role. These skills are crucial for developing innovative solutions, collaborating across teams, and translating complex data insights into actionable business strategies.

What is the difference between Applied vs Data Analyst?

AspectAppliedData Analyst
Required CredentialsTypically a degree in applied sciences, engineering, or related fieldsUsually a degree in statistics, mathematics, or data science
Work EnvironmentHands-on, practical settings such as labs, manufacturing, or fieldworkOffice-based, focused on data interpretation and reporting
Industry UsageCommon in engineering, manufacturing, and applied sciencesPrevalent in finance, marketing, healthcare, and tech
Comparison IntentApplied focuses on practical implementation and real-world problem solvingData Analyst emphasizes data analysis, visualization, and insights

Applied roles involve practical application of scientific principles in real-world settings, while Data Analysts focus on interpreting data to inform decisions. Both roles require analytical skills but differ in work environment and industry focus.

What are some typical challenges faced by professionals in applied research roles, and how can they be addressed?

Professionals in applied research roles often encounter challenges such as bridging the gap between theoretical findings and practical implementation, managing cross-disciplinary collaborations, and adapting to rapidly evolving technologies. Overcoming these challenges typically involves strong communication skills to translate complex ideas, flexibility to pivot research direction based on stakeholder needs, and a willingness to continually learn new tools and methods. Building collaborative relationships with both technical and non-technical team members can also help ensure that research outcomes are effectively integrated into real-world applications.

What does an applied job title mean?

The term 'Applied' in a job title typically refers to roles that focus on the practical application of knowledge and skills within a specific field, such as applied science, applied mathematics, or applied engineering. These positions emphasize using theoretical concepts to solve real-world problems or develop practical solutions. For example, an 'Applied Scientist' would use scientific principles to create products or processes that address industry needs. The exact responsibilities will depend on the field and the organization. It's important to review the full job description to understand what 'Applied' means in the specific context.

What job categories do people searching Applied jobs in California look for?

The top searched job categories for Applied jobs in California are:

What cities in California are hiring for Applied jobs?

Cities in California with the most Applied job openings:

Infographic showing various Applied job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $57,436 per year, or $27.6 per hour.

Applied Scientist

Adobe, Inc.

San Jose, CA • On-site

Full-time

Re-posted 25 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

39th of 244 rated software companies


Job description

Adobe is seeking Applied Scientists at both early-career and senior levels to develop AI innovations from research concepts through product validation and technology transfer.
You will identify promising research directions; design, train, post-train, and rigorously evaluate multimodal architectures, with particular emphasis on image and video editing; and contribute to technical strategy. Depending on experience, you will contribute to or lead ambiguous, high-impact projects while remaining deeply hands-on. You will strengthen the broader research and engineering team through technical judgment, experimentation, collaboration, and, at senior levels, mentorship.
This role requires hands-on model development and applied research. Experience limited to prompt engineering or model-API integration is insufficient.
What You'll Do
  • Identify research advances with the potential to create differentiated Adobe product capabilities.
  • Own or contribute to applied research from problem formulation and experimentation through prototype implementation and validation.
  • Curate and analyze multimodal training data, including sampling, filtering, deduplication, synthetic-data generation, and quality measurement.
  • Design and optimize multimodal architectures, including vision encoders, modality projectors, and cross-modal attention.
  • Build rigorous evaluation pipelines covering model quality, robustness, safety, latency, scalability, and product usefulness.
  • Diagnose model failures through ablation studies, error analysis, and data- and architecture-level experimentation.

Minimum Qualifications
  • Master's or Ph.D. in computer science, machine learning, artificial intelligence, or a related field, or equivalent practical experience.
  • Hands-on experience developing transformer, diffusion, or multimodal architectures through direct training or adaptation of model parameters.
  • Strong Python and PyTorch skills, including experience developing, debugging, and improving research-quality model code.
  • Experience with end-to-end model development, including data preparation, training, evaluation, and failure analysis.
  • Experience with post-training techniques such as supervised fine-tuning, preference optimization, reinforcement learning, alignment.
  • Ability to communicate technical decisions, experimental findings, and measurable impact effectively.
  • Candidates will be evaluated on demonstrated technical depth and impact rather than years of experience.

Preferred Qualifications
  • Experience with large-scale or distributed training, large datasets, and compute- or memory-efficient training techniques.
  • Experience optimizing inference latency, throughput, memory utilization, or serving cost.
  • Experience with synthetic-data generation, filtering, and quality control.
  • For senior or senior-staff consideration, candidates should have years of relevant experience commensurate with the level, demonstrated through sustained technical ownership, cross-functional influence, mentorship, and measurable research or product impact.
  • Model-level development experience is required; experience limited to prompt engineering, agentic application development, RAG or vector databases, and hosted LLM APIs is not sufficient for this role.

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 $120,700 -- $238,600 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 $164,800 - $238,600
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.

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982