Boon
Computer Vision, Applied Research Scientist
San Francisco Bay Area
Sponsorship not specifiedDetected 78 days ago
Machine LearningDeep LearningPyTorchNLPComputer VisionAgentic AIResearchLeadershipCollaboration
About the role
- 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.
Responsibilities
- Drive architecture decisions: backbones, decoders, fusion strategies, loss functions, training regimes
- Own supervised training and self-supervised pretraining strategies
- Collaborate with ML engineers on deployment, quantization, and serving
- 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
- 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
Requirements
- Strong track record of published CV research OR trained production CV models that shipped at scale
- Ability to move models from research to production inference pipelines
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 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)
- Direct ownership of research on a problem nobody in construction AI has solved - the first foundation model for construction drawings
- Collaboration with a world-class team from top tech companies and research institutions
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.
- 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.
- As an equal-opportunity employer, Boon is committed to providing employment opportunities to all individuals.
- 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.
Benefits
- Work at the intersection of computer vision research and real-world industry impact, in a trillion-dollar market
- Meaningful equity in an early-stage, well-funded startup
- 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.
Company info
- 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.
Equal opportunity
- Boon Is An Equal Opportunity Employer
This listing is sourced directly from Boon's careers page and normalized into a canonical job model.