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AI Engineer

At BioRender, we don’t settle for average, and neither should you. We’re building tools that transform how scientists communicate complex ideas, and we need someone who’s ready to turn ambitious ideas into lovable and usable products.

This role is for someone who thrives on solving hard problems, learning fast, and creating solutions that others said couldn’t be done. If you’re ready to prove you’ve got what it takes to take on this challenge, we want to hear from you.

What you'll be doing :

We need an ambitious builder that gets stuff shipped. Here’s how you’ll show us what you’re made of:

  • Invent the Future: Leverage ML/AI to tackle real-world problems in scientific visualization, data analysis, or image processing.

  • Think Beyond the Obvious: Dive deep into challenges, explore unconventional solutions, and deliver results that exceed expectations.

  • Collaborate with the Best: Work alongside world-class engineers and domain experts who will push you to grow every day.

  • Own Your Work: Take full end-to-end ownership of customer problems—from data gathering to production solutions

  • Stay Ahead of the Curve: Keep up with cutting-edge research in AI and find ways to apply it in ways no one else has thought of yet.

Our ideal fit brings:

Here’s what we expect from someone extraordinary:

  • Technical Chops: You’ve got a solid foundation in machine learning concepts (e.g., neural networks, supervised/unsupervised learning) and proficiency in Python and building fullstack products that leverage them. You’ve worked with TensorFlow, PyTorch and single page apps on top of cloud platforms like AWS/GCP.

  • A Portfolio That Speaks for Itself: Show us what you’ve built—whether it’s a GitHub repo, Kaggle competition results, or a personal project that pushed your limits.

  • Curiosity Meets Grit: You don’t just solve problems—you obsess over them until they’re cracked wide open. You learn fast, adapt faster, and never back down from a challenge.

  • A Builder’s Mentality: You don’t wait for someone else to tell you what to do—you take the initiative and figure it out yourself.

  • Team Player with an Edge: You collaborate well but aren’t afraid to challenge ideas (including your own) to get to the best solution.

Why This Role is Different

You’ll be given real responsibility from day one because we trust you to rise to the occasion. If that excites you more than it intimidates you—this is where you belong.

Why join us?

At BioRender, we offer more than just a job:

  • A Mission That Matters: Your work will directly impact the scientific community

  • Growth Without Limits: Learn from senior engineers and take on challenges that accelerate your career faster than anywhere else.

  • A Culture of Excellence: Join a team that sets high standards—and helps each other meet them every day.

  • Flexibility Without Compromise: We’re remote-first but deeply connected as a team through collaboration and shared purpose.

Apply Now

Show us your best work and what makes you amazing:

  1. Submit your resume

  2. Share links to projects or code that demonstrate your skills (GitHub repos are gold)

  3. Tell us why you’re excited about this role—and why we should be excited about you

This is your chance to work on some impactful problems. Are you ready?

BioRender is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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What You Should Know About AI Engineer, BioRender

At BioRender, we are redefining how scientists convey complex ideas, and we're looking for an AI Engineer to join our passionate team. If you thrive on tackling tough challenges and enjoy transforming ambitious concepts into usable products, you’ve come to the right place! As an AI Engineer, you will leverage your expertise in machine learning to address real-world problems related to scientific visualization, data analysis, and image processing. You’ll have the opportunity to work alongside talented engineers and domain experts who will inspire you to push the boundaries of what's possible. Taking ownership of your projects will be key, as you navigate everything from data gathering to production solutions. Here, innovation is crucial, and we encourage you to explore unconventional approaches that deliver exceptional results. If your technical skills include proficiency in Python, machine learning concepts, and experience with tools like TensorFlow and PyTorch, you'll fit right in. At BioRender, we value a builder’s mindset—you won’t wait for direction but will dive in, explore, and create independently. Plus, you’ll be part of a flexible, remote-first culture that prioritizes both collaboration and individual growth. If you’re excited to make a real impact in the scientific community and ready to take on challenges that will accelerate your career, come show us what you can do at BioRender!

Frequently Asked Questions (FAQs) for AI Engineer Role at BioRender
What are the primary responsibilities of an AI Engineer at BioRender?

As an AI Engineer at BioRender, your main responsibilities will include leveraging machine learning to solve real-world problems in scientific visualization, data analysis, and image processing. You'll collaborate with a talented team, take ownership of projects from data gathering to production, and continuously stay updated with cutting-edge research to drive innovation.

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What qualifications are required for the AI Engineer position at BioRender?

To succeed as an AI Engineer at BioRender, you'll need a solid foundation in machine learning concepts, proficiency in Python, and experience in building fullstack products. Familiarity with frameworks like TensorFlow and PyTorch, as well as cloud platforms such as AWS or GCP, is highly desirable.

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How does collaboration work for the AI Engineer at BioRender?

Collaboration is key for the AI Engineer role at BioRender. You'll work alongside world-class engineers and domain experts, sharing ideas and strategies to overcome challenges. We believe in fostering an environment where team members can challenge each other's ideas to discover the best solutions together.

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What is the company culture like for AI Engineers at BioRender?

The culture at BioRender promotes excellence and growth without limits. We believe in setting high standards and supporting each other to achieve them. Being remote-first, we maintain strong connections through collaboration and shared missions, ensuring that every team member feels valued and engaged.

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What opportunities for growth exist for AI Engineers at BioRender?

As an AI Engineer at BioRender, you will have abundant opportunities for professional growth. Working closely with senior engineers on impactful projects will accelerate your career development, and you’ll be encouraged to take ownership of your work and explore innovative solutions.

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Common Interview Questions for AI Engineer
How do you approach solving complex problems as an AI Engineer?

When solving complex problems as an AI Engineer, I start by thoroughly understanding the problem space and identifying key challenges. I analyze existing solutions and data, exploring unconventional methods to develop innovative approaches while collaborating with my team for diverse perspectives.

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Can you explain a machine learning project you have worked on?

In my previous role, I developed a machine learning model using TensorFlow to enhance image processing in biomedical research. I collected and preprocessed data, implemented various algorithms, and conducted extensive testing, resulting in improved accuracy by 30% over previous models.

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What is your experience with TensorFlow or PyTorch?

I have extensive experience with both TensorFlow and PyTorch. I prefer TensorFlow for its versatility in production settings, while I appreciate PyTorch for its dynamic computation graph, which is helpful during experimentation. I can easily adapt to either framework based on project needs.

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How do you stay up to date with advancements in AI?

I stay up to date with advancements in AI by regularly reading research papers, attending industry conferences, and participating in online courses or webinars. I also engage with the developer community on platforms like GitHub and Kaggle to share knowledge and best practices.

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Describe a time when you had to take the initiative in a project.

In a previous project, I noticed a gap in our data processing pipeline that slowed down our workflow. I took the initiative to propose and develop a new automated solution, significantly reducing processing time by 40% and allowing the team to focus on more critical tasks.

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How do you handle constructive criticism about your technical ideas?

I view constructive criticism as an opportunity for growth. When I receive feedback, I analyze it objectively, consider how it can enhance my ideas, and engage in discussions with colleagues to refine my approach. This collaboration often leads to stronger solutions.

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What do you think are the biggest challenges facing AI in scientific fields?

The biggest challenges facing AI in scientific fields include data quality and accessibility, ethical considerations, and ensuring the interpretability of AI models. Addressing these challenges requires collaboration between AI experts and domain scientists to develop responsible and effective solutions.

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How do you prioritize your tasks when working on multiple projects?

When working on multiple projects, I prioritize tasks based on urgency and impact. I use project management tools to keep track of deadlines and progress, ensuring that I allocate time effectively while maintaining communication with my team about any adjustments needed.

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What motivates you to excel as an AI Engineer?

I am motivated by the opportunity to solve complex problems that have real-world impact. Contributing to projects that enhance scientific communication fuels my passion for AI, and the continual learning and collaboration within a team environment drive me to excel.

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Why are you interested in working for BioRender as an AI Engineer?

I am excited about the opportunity to work for BioRender because of its mission to empower scientific communication. I admire the company's commitment to innovation and value the collaborative culture that aligns with my passion for continuous learning and impact-driven work.

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BioRender is a web-based program with thousands of pre-made icons and templates to help researchers create and share scientific illustrations.

49 jobs
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Badge ChangemakerBadge Family FriendlyBadge Flexible CultureBadge Global CitizenBadge InnovatorBadge Work&Life BalanceBadge Rapid Growth
CULTURE VALUES
Feedback Forward
Collaboration over Competition
Growth & Learning
Transparent & Candid
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Full-time, remote
DATE POSTED
February 14, 2025

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