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Vision Scientist Jobs (NOW HIRING)

Meta

AI Research Scientist, Computer Vision

Menlo Park, CA · On-site

$154K - $217K/yr

Meta is seeking Research Scientists to join Meta Superintelligence Labs (MSL) organization to work on making significant advances in AI. We are seeking researchers with experience in vision models ...

The MedServ Group

Vision Therapist

New York, NY · On-site

Associate or bachelor's degree in psychology, biology, health sciences etc. * Certified Optometric Vision Therapist (COVT) or Certified Low Vision Therapists (CLVT) certification preferred. * Ability ...

The MedServ Group

Vision Therapist

New York, NY · On-site

Associate or bachelor's degree in psychology, biology, health sciences etc. * Certified Optometric Vision Therapist (COVT) or Certified Low Vision Therapists (CLVT) certification preferred. * Ability ...

The MedServ Group

Vision Therapist

New York, NY · On-site

Associate or bachelor's degree in psychology, biology, health sciences etc. * Certified Optometric Vision Therapist (COVT) or Certified Low Vision Therapists (CLVT) certification preferred. * Ability ...

The MedServ Group

Vision Therapist

New York, NY · On-site

Associate or bachelor's degree in psychology, biology, health sciences etc. * Certified Optometric Vision Therapist (COVT) or Certified Low Vision Therapists (CLVT) certification preferred. * Ability ...

The MedServ Group

Vision Therapist

New York, NY · On-site

$25 - $30/hr

Associate or bachelor's degree in psychology, biology, health sciences etc. * Certified Optometric Vision Therapist (COVT) or Certified Low Vision Therapists (CLVT) certification preferred. * Ability ...

The MedServ Group

Vision Therapist

Bronx, NY · On-site

$25 - $30/hr

Associate or bachelor's degree in psychology, biology, health sciences etc. * Certified Optometric Vision Therapist (COVT) or Certified Low Vision Therapists (CLVT) certification preferred. * Ability ...

The MedServ Group

Vision Therapist

Brooklyn, NY · On-site

$25 - $30/hr

Associate or bachelor's degree in psychology, biology, health sciences etc. * Certified Optometric Vision Therapist (COVT) or Certified Low Vision Therapists (CLVT) certification preferred. * Ability ...

The MedServ Group

Vision Therapist

Staten Island, NY · On-site

$25 - $30/hr

Associate or bachelor's degree in psychology, biology, health sciences etc. * Certified Optometric Vision Therapist (COVT) or Certified Low Vision Therapists (CLVT) certification preferred. * Ability ...

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Vision Scientist information

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$50.5K

$111.3K

$137.5K

How much do vision scientist jobs pay per year?

As of Jun 7, 2026, the average yearly pay for vision scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What are some typical projects or research tasks that a Vision Scientist might work on?

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 is a Vision Scientist job?

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 does a vision scientist do?

A vision scientist researches how the visual system processes information, studying aspects like visual perception, eye movement, and visual disorders. They often work in laboratories or academic settings, using tools such as eye trackers and imaging technologies, and may require knowledge of neuroscience, psychology, or optics.

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

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.

More about Vision Scientist jobs
What cities are hiring for Vision Scientist jobs? Cities with the most Vision Scientist job openings:
What are the most commonly searched types of Vision Scientist jobs? The most popular types of Vision Scientist jobs are:
What states have the most Vision Scientist jobs? States with the most job openings for Vision Scientist jobs include:
What job categories do people searching Vision Scientist jobs look for? The top searched job categories for Vision Scientist jobs are:
Vision Scientist jobs near you
Infographic showing various Vision Scientist job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, and 7% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Computer Vision, Applied Research Scientist

Computer Vision, Applied Research Scientist

Boon, Inc

San Francisco, CA • On-site

$170K - $250K/yr

Full-time

Posted 3 days ago

Job description

About Boon
Boon is the professional AI platform built specifically for construction. Founded in the San Francisco Bay Area in 2023 by product and engineering leaders from Samsara, Apple, Google and DoorDash. Boon is backed by leading Silicon Valley venture capitalists.
Our AI agents embed directly into existing workflows, from preconstruction estimating to bid management. They automate the repetitive tasks that drain time and margins while surfacing the insights leaders need to make faster and more confident decisions.
The result is measurable impact. Teams move faster, bids are submitted sooner, win rates increase, and costs are reduced. Boon enables construction companies to build more, generate more revenue, and grow with confidence.
About the Role
We are building the first foundation model for construction drawings - a unified multi-modal vision system that reads, understands, and reasons about architectural, mechanical, electrical, plumbing, and structural plans the way a human estimator does.
As a Computer Vision Applied Research Scientist at Boon, you will own end-to-end experiments on our foundation model, from architecture design through self-supervised pretraining, supervised fine-tuning, and shipping production models into our inference pipeline.
This is a 80/20 research-to-production role. You will propose new architectures, run the experiments that prove or disprove them, and ship the winning models to real customers. You will have autonomy over direction and experimental ideas, staying aligned with the team and the company's research focus. This is not a role for someone who wants to be told what to build.
What Success Looks Like
Within your first 12-18 months, the successful candidate will:
  • Push our production model to ≥95% accuracy across multiple trades and scopes
  • Design a genre-defining, novel architecture for construction drawing understanding
  • Publish a paper on the work at a top venue (CVPR, ICCV, ECCV, NeurIPS, or ICLR). We're committed to publishing; we may selectively not release weights or code
What You Will Do
Research & Architecture
  • Design and evaluate novel multi-stage vision architectures for construction drawing understanding - perception, text-object association, and relational reasoning across elements
  • Drive architecture decisions: backbones, decoders, fusion strategies, loss functions, training regimes
  • Run rigorous experiments with clean baselines, ablations, and held-out evaluation on real construction drawings
  • Own supervised training and self-supervised pretraining strategies
  • Pursue research directions that compound accuracy across trades and scopes
Production Shipping
  • Take models from experimental notebooks to the production inference pipeline
  • Work hands-on with PyTorch, YOLO, SAM, DINO, and other modern CV stacks
  • Collaborate with ML engineers on deployment, quantization, and serving
  • Debug real failures on real customer drawings and close the loop into the next training run
Cross-Functional Work
  • Collaborate with the synthetic data, annotation, and infrastructure teams to make sure experiments have the data and compute they need
  • Partner with engineering leadership on the accuracy roadmap and strategic direction
  • Write clean internal research reports so the broader team can learn from your work
  • Present findings, trade-offs, and recommendations to engineering leadership
Data & Evaluation
  • Help shape what data we acquire and annotate, based on what the model actually needs
  • Define evaluation datasets and metrics that track progress honestly - not Kaggle-style leaderboard chasing
  • Identify failure modes on real customer drawings and design experiments that address them
You Are a Great Fit If
  • You have 3-7+ years of computer vision research experience, ideally with a track record of published papers, open-source work, or production CV models
  • You have deep hands-on experience with multi-modal/vision transformers - segmentation, detection, or joint text+vision tasks
  • You have worked with modern vision transformer architectures like SAM, DINO, or similar foundation vision models
  • You can move from a research idea to a trained model to a production-shipped system with minimal hand-holding
  • You think about experiments rigorously - clean baselines, meaningful ablations, honest evaluation on real data
  • You have a point of view on architecture decisions and can defend it with reasoning and experimental evidence
  • You thrive on autonomy and set your own direction while staying aligned with team goals
  • You communicate clearly in English (written and verbal) and can collaborate during California business hours
Requirements
  • 3-7+ years in computer vision research (industry research lab, applied science team, PhD research + industry, or equivalent)
  • Strong track record of published CV research OR trained production CV models that shipped at scale
  • Hands-on expertise in multi-modal dense prediction (segmentation, detection, or joint vision-language tasks)
  • Production experience with modern vision transformer backbones (SAM, DINOv2/v3, CLIP, SigLIP, or similar)
  • Strong PyTorch fluency and experience training large vision models
  • Ability to move models from research to production inference pipelines
  • Strong fundamentals in deep learning: optimization, loss design, regularization, self-supervised learning
  • Fluency in English (written and verbal)
Nice to Have
  • Experience with Graph Neural Networks or relational reasoning architectures (we do not expect this - most CV researchers do not - but it is a meaningful plus)
  • Experience with text spotting, OCR, or scene text detection integrated with vision models
  • Experience with LoRA, adapters, or parameter-efficient fine-tuning of large vision models
  • Experience with self-supervised pretraining (MAE, DINO, or similar)
  • Experience with engineering/technical drawings, document understanding, or layout analysis
  • Contributions to open-source CV research
  • Published papers at top venues (CVPR, ICCV, ECCV, NeurIPS, ICLR)
What We Offer
  • Direct ownership of research on a problem nobody in construction AI has solved - the first foundation model for construction drawings
  • Autonomy to propose, defend, and run your own experiments, shipping the winners to real customers
  • Publication-friendly - we support our team publishing their work at top venues
  • Work at the intersection of computer vision research and real-world industry impact, in a trillion-dollar market
  • Collaboration with a world-class team from top tech companies and research institutions
  • Meaningful equity in an early-stage, well-funded startup
Compensation
At Boon, we want to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. This estimate can vary based on the above mentioned factors, so the actual starting annual base salary may be above or below this range. A Boon employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company.
Boon Is An Equal Opportunity Employer
As an equal-opportunity employer, Boon is committed to providing employment opportunities to all individuals. All applicants for positions at Boon will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

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