Machine Learning Engineer/Applied Scientist

Skills

Amdocs CRMArtificial IntelligenceComputer VisionDeep LearningGenerative AIPattern RecognitionScala

Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

Extensive industry experience as an ML engineer with expertise in Object Detection and Image Segmentation, Computer Vision, Deep Learning, Transfer Learning, VLM, Multi-Modal or Generative models
Hands-on experience with deep learning frameworks like PyTorch and TensorFlow
Experience with distributed model training and developing custom model architectures
Excellent programming skills in Python, Scala, or Java
Expertise in operationalizing, monitoring, and scaling ML models and pipelines in cloud ecosystems
Experience working cross-functionally with product and engineering teams in an agile environment

Nice to have

Familiar with state-of-the-art ML/AI research with publications
Experience with Generative AI, Transformer models
Experience building diverse ML applications end to end
Scientific and research background

Day to day

Partner with product, design, and engineering to build the ML and AI system for scientists to create effective figures
Design and execute AI/ML initiatives, oversee system performance, build and optimize models to improve design understanding and deliver accurate figures
Collaborate with various teams to clarify requirements, provide feedback, and share data stories through presentations to make impactful recommendations

Hiring process

Inclusive hiring process and work environment
Read more about the BioRender interview process and FAQs here

Company

Why this team might suit you

Mission, benefits, values and useful company context.

Mission

BioRender is revolutionizing how science is communicated, one graphic at a time (you can think of us as the Adobe or Canva for science!). We're on a mission to accelerate science by empowering all scientists to quickly and easily communicate their research. We are a team of passionate scientists, engineers, science illustrators, designers and entrepreneurs backed by an incredible group of investors, including YCombinator. We nerd out on cool science stuff and solving big problems. We work really hard and sweat the details to deliver a high impact product that our users love.

Benefits

Mission-driven and collaborative work
Flexible remote-first policy
Physical office in Toronto available
Top quartile for profitability and growth
Backed by top investors and philanthropists
High representation of women in leadership

Values

We are mission-driven, and work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery. It’s a product that users love. We have a world-class NPS and a community of loyal fans. We are in the top quartile for profitability and year-over-year revenue growth, with users in 200+ countries. BioRender is an equal opportunity employer, and an inclusive hiring process and work environment is a part of our DNA. We’re remote-first and have team members across Canada and the United States. A physical office in Toronto is available, but you have the flexibility to work from anywhere. We’re backed by top investors, accelerators, and some of the most successful life science entrepreneurs and philanthropists in the world including Y Combinator, Malala Fund founders, and Fifty Years VC. We’re proud that women make up 2 of 3 co-founders, 53% of our team, and 37% of leadership. This representation continues to grow and we are hiring. We are committed to building a warm, inclusive, and diverse environment.