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Applied Jobs in California (NOW HIRING)

Clipboard Health

Applied Scientist

San Francisco, CA · On-site

$160K - $225K/yr

About the Role We're building a new team, Applied Science, and we're looking for our first outside hire. Clipboard is a Sequoia-backed marketplace connecting nurses and healthcare professionals with ...

Visa Hunt

Applied Scientist

San Francisco, CA · On-site

$800/day

About the Role We're building a new team, Applied Science, and we're looking for our first outside hire. Clipboard is a Sequoia-backed marketplace connecting nurses and healthcare professionals with ...

Kaption.co

Applied ML Researcher

Palo Alto, CA · On-site

They are seeking an Applied ML Researcher to explore and extend the latest advances in video generation, collaborating closely with engineers and product teams to turn generative models into ...

Darwin

Applied ML Researcher

Palo Alto, CA · On-site

They are seeking an Applied ML Researcher to explore and extend advancements in video generation, collaborating closely with engineers and product teams to create valuable user experiences.

LinkedIn

Applied Scientist

Mountain View, CA · On-site +1

$120K - $195K/yr

LinkedIn's Data Science and Applied Science teams use data, experimentation, causal inference, machine learning, and AI to solve important product and business problems. With more than 1 billion ...

adaption

Applied Scientist

San Francisco, CA · On-site

The Role We're looking for an Applied Scientist who thrives at the intersection of applied research and real-world products. You'll push the frontier on efficiency, gradient‑free exploration ...

LinkedIn

Applied Scientist

Mountain View, CA · On-site

$120K - $195K/yr

LinkedIn's Data Science and Applied Science teams use data, experimentation, causal inference, machine learning, and AI to solve important product and business problems. With more than 1 billion ...

Hop

Applied Data Scientist

San Francisco, CA · On-site

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 : • ...

Hop

Applied Data Scientist

San Francisco, CA · On-site

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 ...

Adobe

Applied Scientist

San Jose, CA · On-site

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 ...

Adobe, Inc.

Applied Scientist

San Jose, CA · On-site

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 ...

Capital One

Applied Researcher II

San Francisco, CA

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 ...

Capital One

Applied Researcher II

San Francisco, CA

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 ...

Capital One

Applied Researcher II

San Jose, CA

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 ...

Capital One

Applied Researcher II

San Francisco, CA

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 ...

Capital One

Applied Researcher II

San Jose, CA

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 ...

Thomson Reuters

Applied Scientist Intern

San Francisco, CA · On-site

$17.75 - $23.50/hr

Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson ...

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Showing results 21-40

All JobsApplied JobsApplied Jobs in California

Applied information

See California salary details

$30.6K

$57.4K

$85.4K

How much do applied jobs pay per year?

As of Sep 11, 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 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 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 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 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 popular job titles related to Applied jobs in California?

For Applied jobs in California, the most frequently searched job titles are:

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:

Applied jobs near you
Infographic showing various Applied job openings in California as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% 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

San Francisco, CA • On-site

Clipboard Health
Technology, Communication and Media • 201 - 500 employees
Learn more about Clipboard Healthexternal

$160K - $225K/yr

Full-time

Re-posted 7 days ago

Key responsibilities

  • Design and build pricing algorithms and auction mechanisms for the marketplace.

  • Develop models to analyze supply-demand interactions, worker↔workplace relationships, and key metrics.

  • Work with engineers to transition models from prototype to production and develop experiment frameworks for testing ideas.

Job description

About Clipboard
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company and have been profitable since 2022. We're the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
About the Role
We're building a new team, Applied Science, and we're looking for our first outside hire.
Clipboard is a Sequoia-backed marketplace connecting nurses and healthcare professionals with long-term care facilities, with over $800M in annual transactions. You'd be joining a three-person quantitative pod with a dedicated engineering rotation that has spent the last year shipping auction systems in a live, two-sided market. We're now formalizing that work into a dedicated Applied Science function. The team owns the quantitative infrastructure underneath the marketplace: pricing algorithms, auction mechanisms, causal models, metric definitions, and experiment frameworks. Some of that work ships as product; some becomes the analytical substrate every team in the company depends on.
About the Work
You'll be designing systems where the analytical choices are the product decisions. Concretely, you'll be building pricing algorithms, designing auction mechanisms that shape how supply and demand interact, developing attendance and reliability models that determine worker↔workplace relationships, and constructing the experiment frameworks the rest of the org runs its ideas through. When a key metric moves and the cause isn't obvious, you'll run the investigation.
Methods in play include causal identification (diff-in-diff, IV, regression discontinuity), cluster-randomized trial design, discrete-time hazard modeling, mechanism design, and anomaly detection on marketplace time series. You'll work directly with engineers to take models from prototype to production, and write clearly enough to make your reasoning legible to PMs and leadership.
Minimum Requirements
  • Bachelor's degree in quantitative field: economics, statistics, engineering, mathematics, etc or commensurate practical experience.
  • Experience building and deploying quantitative models (in applied or research settings)
  • Comfort querying data directly (SQL or equivalent)
  • Experience designing and analyzing controlled experiments
Who thrives here
  • PhD in economics, econometrics, operations research, statistics, engineering, or a closely related field. Equivalent depth from a quant research or trading environment.
  • Track record of building applied models, not just publishing them; you've taken something from whiteboard to production.
  • Sharp experimental intuition: you know the difference between a valid identification strategy and a plausible-sounding one, and you've defended that distinction in front of a skeptical audience.
  • Background in quant finance, economic consulting, or marketplace work is a strong signal. We want people comfortable collaborating with competing ideas in high-stakes data environments.
Compensation
$160K-$225K base + $50K-$150K equity. Range reflects experience; we'll be direct about where you'd land.
Work Location
This will be a hybrid role, with the expectation of working at least three days per week out of our office in San Francisco.
If this challenge seems exciting, apply!
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here.
Clipboard Health logo

About Clipboard Health

Sourced by ZipRecruiter

Clipboard Health is a post-Series C, extremely fast-growing tech startup with classic two-sided network effects, revolutionizing the market for healthcare talent. We are a diverse and inclusive company with a global, remote team. We have been named one of YC's Top Companies for two years running, and have grown 25x across all key metrics in the last 18 months. There has never been a more exciting time to join our growing team and help us serve even more healthcare professionals and healthcare facilities, who can then better serve patients. To learn more about the culture at Clipboard Health, take a look at our culture hub here.

Industry

Technology, communication and media

Company size

201 - 500 Employees

Headquarters location

San Francisco, CA, US

Year founded

2016

Social media

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