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Vision Scientist information

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$49.8K

$109.9K

$135.7K

How much do vision scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for vision scientist in California is $109,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $135,200.00 per year, depending on experience, location, and employer.

What is a vision scientist?

A Vision Scientist studies the principles of vision, including how humans and machines process visual information. They apply knowledge from neuroscience, psychology, computer vision, and optics to develop technologies like augmented reality, artificial vision systems, and medical diagnostics. Vision Scientists work in diverse fields, such as academia, healthcare, and tech industries, improving visual perception and imaging systems. Their research contributes to advancements in vision correction, automation, and human-computer interaction.

What do vision scientists do?

Vision Scientists commonly work on projects investigating how humans and animals process visual information, develop and test models of visual perception, or study vision-related disorders and their treatments. Daily tasks might include designing experiments, collecting and analyzing data from behavioral or imaging studies, and collaborating with interdisciplinary teams such as engineers, clinicians, or software developers. The work may also involve developing new diagnostic tools, contributing to product development in tech or healthcare, and publishing research findings. This dynamic mix of activities offers opportunities to contribute to innovative advancements in vision science, both in academic and industry settings.

What skills and qualifications are needed to be a vision scientist?

To thrive as a Vision Scientist, a strong background in neuroscience, optics, psychology, or a related scientific field—often with a Ph.D.—is essential, along with skills in experimental design and data analysis. Proficiency with tools such as MATLAB, Python, eye-tracking systems, imaging technologies (e.g., fMRI, OCT), and experience with scientific publishing are highly valued. Strong attention to detail, critical thinking, and collaborative communication set standout professionals apart. These skills underpin the ability to design rigorous studies, interpret complex data, and contribute impactful insights in multidisciplinary research or applied settings.

What are the most commonly searched types of Vision Scientist jobs in California?

The most popular types of Vision Scientist jobs in California are:

What are popular job titles related to Vision Scientist jobs in California?

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

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

The top searched job categories for Vision Scientist jobs in California are:

What cities in California are hiring for Vision Scientist jobs?

Cities in California with the most Vision Scientist job openings:

Vision Scientist jobs near you
Infographic showing various Vision Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $109,885 per year, or $52.8 per hour.

Staff Applied Scientist Document Vision

Relativity

Los Angeles, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Posting Type

Remote/Hybrid

Job Overview

The Work
Every legal matter is its own experiment. An attorney arrives with a theory of the case; the evidence arrives as hundreds of thousands of documents, sometimes millions, that no one has read and no model has seen. Somewhere in the cross product of the two are the answers that decide lawsuits, investigations, and livelihoods. Finding them quickly and defensibly, with the integrity and credibility attorneys can rely on, is the problem we own. We solve it creatively and rigorously.
Relativity is a data-centered, AI-native legal technology company, and Applied Science builds the AI inside Relativity aiR. We launched aiR in 2023 and have now run commercial generative AI in the legal domain for more than three years, powering work that includes the largest investigations in the world. Our systems are distinguished by the data they operate over (more than 93 petabytes) and the work they have done: over 190 million AI review decisions, backed by more than 1 billion generative sub-analyses in 2026 alone. The team is as distinctive as the data: legal experts, all former litigators, work directly inside Applied Science.
At Relativity, our mission is to Organize data. Discover the truth. Act on it. The Applied Science team serves this mission by building bold and ambitious AI systems. We are curious, dedicated, and humble. We understand complexity, uphold rigor, and measure relentlessly. We build and ship with pace. Above all, we are interdisciplinary collaborators and team players.
We're looking for a Staff Applied Scientist to take on our hardest problems in document vision and set standards that reach beyond a single team.

Job Description and Requirements

Capable and Reliable

Two requests can look nearly identical and be worlds apart. "See if you can find me an example of this" needs a capable system: it finds the example or it doesn't. "Conduct a reasonable search for any and all documents responsive to this request" is a different kind of promise. Its answer spans a corpus no one will ever read end-to-end. So the system's process, as much as its output, has to earn the trust of the professionals who rely on it.

That property is reliability. It decomposes into consistency, robustness, calibration, and safety: systems that behave tomorrow the way they did today, degrade predictably under stress, know how confident they should be, and check their own work. Before aiR returns an analysis, it validates its citations and runs internal consistency checks; when a check fails, it refuses to answer. It has refused more than a million times so far in 2026, and we count every one as a success: an error caught before it reached a user.

You'll build for both, and help define the standard for how.

The Focus: Document Vision

This role anchors our document-vision work: teaching systems to read evidence the way legal professionals do. Real matters arrive as scanned pages, photographs, tables, handwriting, stamps, and broken layouts, at the scale of millions of documents. You'll own the science of multimodal document understanding across aiR, from vision-language modeling to the evaluation standards that make visual evidence usable and defensible.

What You'll Do

  • Take on the hardest, most ambiguous problems in the portfolio and produce clarity: a well-specified approach, an evaluation that settles the question, a system that ships.
  • Set standards that reach beyond your team: evaluation methods, modeling patterns, and quality bars adopted by scientists you've never worked with.
  • Own readiness for flagship AI systems, from problem framing through efficacy studies and production monitoring, in partnership with engineering.
  • Multiply the team through deep review and mentorship of senior and lead scientists.
  • Advise Applied Science leadership on where the science is going and where we should invest.

What You Bring

  • A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 6 years of applied AI/ML experience.
  • Years of production AI/ML behind you: systems you specified, shipped, and operated at scale, in partnership with the engineers who run them.
  • Expert judgment about AI systems: you've built them, measured them, and formed views of their limits that hold up under challenge.
  • Scientific rigor other people borrow: you supervise the data understanding of teams beyond your own, your evaluations become the template, and your error analyses end debates.
  • Software-engineering judgment trusted across teams, and the programming skill to credibly prototype what you propose.
  • An ownership mindset that extends across the organization.

Nice to Have

  • Experience with vision-language or document-understanding models (layout analysis, OCR-adjacent pipelines, table and figure extraction) in production.
  • An interest in legal technology and the justice system.
  • Experience developing information retrieval systems.
  • Experience developing agentic harnesses.
  • Experience building reliable AI systems at scale.

Why Relativity Applied Science

This is the place where your curiosity, dedication, and talent will build products that power the pursuit of justice around the world.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$197,000 and $295,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Algorithms, Computer Vision, Data Analysis, Data Science, Deep Learning, Machine Learning (ML), Natural Language, Natural Language Processing (NLP), Python (Programming Language), Scientific Research

Apply