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Applied Research Jobs (NOW HIRING)

Role Overview Applied Research at Labelbox builds the benchmarks and data that drive the next generation of foundational agentic capabilities. We are looking for exceptional researchers and research ...

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize evaluation and posttraining systems for frontier LLMs and multimodal models. You'll own continuous ...

Role Overview Applied Research at Labelbox builds the benchmarks and data that drive the next generation of foundational agentic capabilities. We are looking for exceptional researchers and research ...

Drata is seeking an Applied Research Engineer to drive the quality and effectiveness of our AI systems through rigorous experimentation, evaluation, and applied research. This is a research-focused ...

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize evaluation and post-training systems for frontier LLMs and multimodal models. You'll own continuous ...

The Applied Research Engineer will use innovative applications like computer simulation, digital twin technology and advanced mathematical modeling to solve complex problems in today's transportation ...

Track record of published research or deep applied work in LLMs and agent evaluation. * Strong communication and technical writing skills to articulate complex findings clearly. * First-Month Focus

The Applied Research Scientist will focus on building advanced ad delivery systems, processing large datasets, and conducting A/B tests to enhance business outcomes. Responsibilities : • Building ...

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Applied Research information

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How much do applied research jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for applied research in the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

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

To thrive as an Applied Researcher, you need strong analytical abilities, a solid background in scientific methodology, and typically an advanced degree in a relevant field such as engineering, computer science, or social sciences. Proficiency with statistical analysis software, programming languages (like Python or R), and data visualization tools is often required. Creative problem-solving, effective communication, and the ability to collaborate across disciplines are essential soft skills. These competencies enable Applied Researchers to design impactful studies, extract actionable insights from data, and drive innovations that address real-world challenges.

How does an Applied Researcher typically collaborate with cross-functional teams to drive project outcomes?

Applied Researchers often work closely with product managers, engineers, and data analysts to ensure that research findings are effectively integrated into product development or business strategies. Collaboration usually involves regular meetings to align on project goals, sharing interim results, and iterating on experimental designs based on team feedback. Open communication and the ability to translate complex research insights into actionable recommendations are key to success in this role. This collaborative approach helps ensure that research has a tangible impact and supports organizational objectives.

What is applied research?

Applied research is a type of research focused on solving practical problems and developing new technologies, products, or processes. Unlike basic research, which aims to expand fundamental knowledge, applied research is driven by real-world needs and aims to find solutions that can be directly implemented. Professionals in this field often work in industries such as healthcare, engineering, education, and technology to bridge the gap between theory and practice. Their work frequently results in innovations that improve efficiency, effectiveness, and overall quality of life.

What is the difference between Applied Research vs Data Analyst?

AspectApplied ResearchData Analyst
Required CredentialsMaster's or PhD in relevant fields (e.g., science, engineering)Bachelor's or Master's in data science, statistics, or related fields
Work EnvironmentResearch labs, universities, R&D departmentsBusiness, finance, healthcare, tech companies
Employer & Industry UsageAcademic, government, private research firmsCorporate sectors, consulting firms, tech companies
Common Search & Comparison IntentUnderstanding research roles, academic careersData analysis, business insights, reporting

Applied Research involves developing new knowledge or solutions through scientific methods, often in academic or research settings. Data Analysts focus on interpreting existing data to inform business decisions, typically within corporate environments. While both roles require analytical skills, Applied Research emphasizes experimental design and innovation, whereas Data Analysts concentrate on data interpretation and reporting.

More about Applied Research jobs
What are the most commonly searched types of Applied Research jobs? The most popular types of Applied Research jobs are:
What states have the most Applied Research jobs? States with the most job openings for Applied Research jobs include:
Infographic showing various Applied Research job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 56% Full Time, 36% Part Time, and 4% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $46,222 per year, or $22.2 per hour.

Applied Research Engineer

My HR Solutions

San Francisco, CA • On-site

Full-time

Posted 23 days ago


Job description

Applied Research Engineer - San Francisco

As an applied research engineer at Confidential, you’ll build high performance building blocks and large scale pipelines to understand video with high precision at internet scale. Often this involves working on ambiguous research problems and finding clever techniques to solve them. You will be working in the computer vision, audio processing, and text processing domains. You’re likely a good fit if you’re comfortable working with models + APIs and squeezing every drop of performance out of them through clever pre/post-processing, parallelism, pipelining, inference optimization, and occasionally fine-tuning.

We are seeking an innovative and passionate Applied Research Engineer to join our dynamic team in San Francisco. In this cutting-edge role, you will work at the intersection of engineering and applied research, utilizing advanced methodologies to drive technological advancements. As a crucial member of our organization, you'll contribute to projects that aim to solve real-world problems and enhance product development, shaping the future of our industry.

Your expertise will be vital in exploring new technologies and applying research findings to practical applications. At our company, we foster a collaborative environment that encourages creativity, offers competitive growth opportunities, and values contributions from every team member. If you are driven by curiosity and strive to make a tangible impact in your field, we invite you to apply.

Responsibilities
  • Conduct applied research to develop innovative solutions that meet market needs.
  • Collaborate with cross-functional teams to translate theoretical concepts into practical engineering applications.
  • Utilize advanced data analysis techniques to interpret research findings and inform decision-making.
  • Develop prototypes and models to validate research results and feasibility of new technologies.
  • Present research findings and progress updates to stakeholders through reports and presentations.
  • Stay current with industry trends, emerging technologies, and best practices in applied research.
  • Lead experimental design, testing, and evaluation to ensure product quality and performance.
  • Contribute to the publication of research papers and patent applications when applicable.
  • Mentor junior engineers and interns in research methodologies and project execution.
  • Participate in brainstorming sessions to generate innovative ideas for future projects.
Requirements
  • 2+ years of experience in computer vision or audio processing
  • Strong Python developer with hands-on experience in PyTorch or similar ML frameworks
  • Excellent communication skills with customers and external teams
  • Write clean, maintainable code Deep passion for video domain and media technologies
  • Motivated by building end-to-end products
  • Break down problems from customer level impact to building blocks
  • In-person at SF HQ
  • Creative mindset and a passion for innovation in technology.