Machine Learning Engineer

California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Consumer Software, BiotechnologyIndustries

Requirements

Candidates should possess deep technical expertise in machine learning and a passion for solving novel challenges. An enthusiasm for helping scientists communicate groundbreaking research faster and more effectively is essential. A scientific and research background is a nice to have.

Responsibilities

The Machine Learning Engineer will combine computer vision and code generation to develop structured, editable visuals that accurately represent scientific concepts. They will create story-driven scientific visuals by designing models that capture the appropriate level of detail, layout, and structure to effectively communicate complex biological concepts. The role involves leveraging scientific understanding to build technology that understands the nuances of biological research and produces scientifically accurate visuals. Additionally, the engineer will implement intuitive, natural language-based editing of visuals while preserving their scientific integrity.

Skills

Computer Vision

Code Generation

Machine Learning

SVG

JSON

Scientific Understanding

Data Translation

Biorender

Online platform for creating scientific illustrations

About Biorender

BioRender provides an online platform for creating scientific illustrations tailored for the life sciences field. Users can access thousands of pre-drawn icons and templates covering over 30 life sciences disciplines, allowing scientists, researchers, and educators to produce professional and visually appealing figures efficiently. The platform's user-friendly interface enables clients, including academic researchers, pharmaceutical companies, and educational institutions, to create figures for research papers, presentations, and educational materials with minimal effort. BioRender operates on a subscription model, offering various plans to suit different user needs, including enterprise solutions for larger organizations. The company's goal is to simplify the process of creating high-quality scientific illustrations, making it an essential resource for effective scientific communication.

Toronto, CanadaHeadquarters

2017Year Founded

$16.7MTotal Funding

SERIES_ACompany Stage

Biotechnology, Education, HealthcareIndustries

201-500Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

AI-driven design tools may reduce demand for BioRender's platform.

Increased competition from cheaper visualization platforms could erode market share.

Potential IP disputes over pre-drawn icons could lead to legal challenges.

Differentiation

BioRender offers a vast library of customizable icons and templates for scientists.

The platform provides a user-friendly interface for creating professional scientific figures.

BioRender serves diverse clients, including academia, biotech, and pharmaceutical companies.

Upsides

Increased demand for digital communication boosts need for scientific visualization tools.

Growing interest in graphical abstracts enhances research visibility and accessibility.

Open-access publishing trend increases demand for high-quality, appealing figures.

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