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Experimental Design Jobs in California (NOW HIRING)

Applied Physics is seeking an Experimental Physicist to join our team. The ideal candidate will ... Lead and oversee the efforts to design, simulate and fabricate a novel high-temperaturehigh ...

Applied Physics is seeking an Experimental Physicist to join our team. The ideal candidate will ... Lead and oversee the efforts to design, simulate and fabricate a novel high-temperaturehigh ...

Strong experimental design and data analysis skills * Highly organized, analytical, and self-motivated * Excellent communication and teamwork abilities Preferred Technical Experience * MPRA or other ...

Detailed design, drafting, and statistical experiments *You will work with research, design, and engineering teams to create architectures that meet product goals while delivering exceptional user ...

Showing results 21-40

Experimental Design information

See California salary details

$14

$25

$42

How much do experimental design jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for experimental design in California is $25.90, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $29.66 per hour, depending on experience, location, and employer.

What is an experimental design?

An Experimental Design job involves planning, structuring, and analyzing experiments to ensure reliable and valid results. Professionals in this role use statistical methods to test hypotheses, optimize processes, and improve decision-making in fields such as science, engineering, and business. They design experiments to minimize bias, control variables, and maximize the accuracy of conclusions. This role is crucial in research and development, product testing, and process optimization across various industries.

What are some common challenges faced by professionals in experimental design roles?

One common challenge in Experimental Design roles is ensuring that experiments are both scientifically rigorous and feasible given constraints like budget, time, or available resources. Additionally, dealing with unexpected variables or data inconsistencies can require creative problem-solving and the ability to adapt research protocols. Team collaboration is also key, as experimental designers often work closely with scientists, engineers, and statisticians to develop and refine testing procedures. By anticipating potential obstacles and communicating clearly with stakeholders, professionals in this role contribute to successful and reliable research outcomes.

What are the key skills and qualifications needed to thrive in the experimental design position, and why are they important?

To excel in Experimental Design, a professional needs a strong background in statistics, scientific methodology, and data analysis, typically supported by an advanced degree in a related field. Familiarity with statistical software (such as R, SPSS, or SAS), laboratory equipment, and protocol management systems is often required. Strong attention to detail, critical thinking, and effective communication are crucial soft skills in this position. These capabilities are vital for ensuring research integrity, reproducibility, and clear reporting of experimental outcomes.

What do you do in experimental design?

In experimental design, a professional plans and structures experiments to test hypotheses, ensuring variables are controlled and data collection methods are appropriate. This involves selecting suitable sample sizes, randomization, and statistical analysis to produce valid and reliable results.
Infographic showing various Experimental Design job openings in California as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $53,880 per year, or $25.9 per hour.

Software Engineer, AI Research - Prototyping

Jobtailor

Palo Alto, CA โ€ข On-site

$120 - $180/hr

Other

Posted 2 days ago

New


Job description


  • Track emerging techniques in voice AI, LLM reasoning, and agent systems, and identify which ones matter for us

  • Design structured experiments with real controls: know when a result is signal and when it is noise

  • Build rapid prototypes and test them against real conversation data

  • Run head-to-head evaluations of models, providers, and techniques (reasoning approaches, speech models, orchestration patterns)

  • Turn every investigation into a team-usable artifact: a benchmark, a written deep-dive, a tech talk, or a recommendation with evidence

  • Work with platform engineers to hand off validated ideas for production implementation

  • Build the internal knowledge base for how and why our AI stack works the way it does


Requirements

  • 3+ years of software engineering or applied ML experience

  • Strong Python skills; able to build and run your own experiments end-to-end without infrastructure support

  • Handsโ€‘on experience with LLMs: prompting, evaluation, and an intuition for how model behavior changes across techniques and providers

  • Experimental rigor: experience designing tests with controls, baselines, and honest measurement

  • A track record of teaching or knowledge transfer in some form: teaching or TA experience, workshops, technical writing, internal tech talks, wellโ€‘documented open source, or developer education

  • Intellectual honesty: comfortable reporting that a promising idea did not work.


Core Competencies

Demonstrates expertise in Python programming and applied machine learning, with a strong focus on experimental design and knowledge transfer. Capable of building prototypes and conducting rigorous evaluations of AI models and techniques.


Highestโ€‘signal resume keywords

  • Python Programming

  • Applied Machine Learning

  • Experimental Design

  • LLM Experience

  • Knowledge Transfer


ATS Optimization Keywords
Hard Skills

  • Software Engineering

  • Experiment Design

  • Model Evaluation

  • Prototyping

  • Data Analysis


Soft Skills

  • Intellectual Honesty

  • Teaching Experience

  • Technical Writing


Industry Keywords

  • Voice AI

  • LLM Reasoning

  • Agent Systems

  • Benchmarking

  • Tech Talks

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