Machine Learning Engineer/Applied Scientist, BioRender
Search & Recommendations
Scientific diagram creator
Job no longer available
Scientific diagram creator
201-500 employees
Job no longer available
201-500 employees
Company mission
To accelerate the world’s ability to learn, discover and communicate science.
Role
Who you are
- We are looking for individuals at senior and staff levels who are product driven, and are passionate about making ML innovations in areas such as; Ranking, Natural Language Processing, Information Retrieval, Graph Learning, Reinforcement Learning to help improve the BioRender user experience!
- Excitement for applied research is a must as you combine rigorous thinking with practical tooling to meet these modeling challenges efficiently
- Extensive industry experience as an ML engineer with expert level knowledge in one or more areas: Information Retrieval, Recommender Systems, Learning-to-Rank, Large Language Models, NLP, Deep Learning, Transfer Learning, Multi-task Learning, Graph Neural Network, Human-in-the-loop or similar
- Hands-on experience with with both traditional keyword-based search technologies as well as modern search paradigm utilizing vector-based retrieval algorithms and search systems such as Elasticsearch
- Experience with deep learning frameworks such as PyTorch and TensorFlow, Large Language Models, Generative AI, Langchain, Transformer models or related
- Experience with data exploration, analysis, and feature engineering
- Excellent programming skills with one or more of the following languages python, scala, java
- Expertise with operationalizing, monitoring, and scaling machine learning models and pipelines in cloud ecosystems
- Previous experience working cross-functionally with product and engineers to deliver solutions with complex requirements in an agile environment
- You have experience building a variety of ML applications end to end
- Familiar with the state-of-the-art deep learning and AI research
- [Bonus] Familiar with the state-of-the-art ML/AI research with publication track record
What the job involves
- As the first Machine Learning Engineer/Applied Scientist, you will partner with product, design, and engineering to build the ML and AI system that enables scientists to effortlessly create beautiful and effective figures
- Design and execute multi-quarter ML initiatives that deliver measurable technical, organizational, or business impacts in our Search & Recommendations domain
- Oversee the performance and continued optimization of our search engine and recommendation systems: build machine learning models to improve query understanding, and extract user intent and context to deliver accurate, relevant, and personalized results for users
- Prototype, optimize, and productionize ML models that help deliver key results
- Evaluate performance of search and recommendation systems and models end to end
- Influence the company’s ML system and data infrastructure to power personalization, recommendations to make it faster for our users to create communication materials
- Collaborate closely with product managers, scientists, full-stack engineers, and designers on product teams
- Communicate with business, data, and engineering counterparts to clarify requirements, provide feedback, and share discovered data stories with stats, charts, and formal presentations. Propose recommendations to maximize business impact
Our take
One of the best ways for science students and experts to communicate ideas is through diagrams, but not everyone has the illustration skills to pull this off. Whilst computer graphics can be used instead of manually drawing scientific imagery, the lack of a dedicated resource for such images prevents diagrams from being consistent and professional.
Biorender hosts thousands of pre-made icons and templates to be used in the creation of diagrams across over 30 different life science fields. The resources follow consistent quality standards and can be dragged and dropped within the platform to create scientific diagrams, to be used by students, teachers, labs, and educational institutions.
Other visual libraries that include scientific icons and templates exist for the creation of diagrams, but Biorender has presented a novel idea with its exhaustive library, offering to produce missing icons on demand within 48 hours. The entire library is free to use alongside basic design features by individuals for educational purposes, with more advanced features and paid licenses being available for labs and institutions. Its success at visualising complex diagrams and information has helped Biorender achieve several rounds of substantial funding.
Steph
Company Specialist at Welcome to the Jungle
Insights
56% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2023
$17.1m
SERIES A
Jan 2018
$0.1m
SEED
Total funding: $17.3m
Company benefits
- Health Benefits: Comprehensive health and dental benefits for you and your family from your first day, including an EAP, HSA, and extended mental health benefits.
- Recharge Long Weekends: In addition to vacation days, our 3 annual BioRender Recharge long weekends offer you a chance to unplug and reset!
- Stock Options: Our employees are also part-owners of BioRender and reap the benefits of their shared hard work.
- Parental Leave Benefits: To help your growing family while you're away from work, we offer a salary top up and even a new baby bonus!
- PAW Perks: Keep your furry family members healthy with our Pet & Animal Wellness veterinary bill reimbursement program.
- Learn and Grow: We'll support your professional growth through regular goal-setting, mentorship, and an annual professional development budget for courses and conferences.
- Team Events: Virtual lunch and learns, show & tells, games, and happy hours help us to stay connected in a remote-first environment.
- In-person Hackathons: Twice per year, we bring our whole team together in Toronto for a week of innovative team work, and cap it off with a company social!
- Work from Anywhere: Our team members have the flexibility to work from another country for up to 3 months per year.
- Flexible Time Off: Our "Flexible Vacation" policy gives you the flexibility to take time off when you need it, so you can unplug, recharge, and come back refreshed.
Company HQ
Wellington Place, Toronto, ON
Leadership
Shiz Aoki
(Co-Founder & CEO)Experience as Lead Science Illustrator for National Geographic. Also Founder and Medical Illustrator for Anatomize Studios Inc.
Katya Shteyn
(Co-Founder & CTO)Experience as Software Engineer for Dropbox and as a Software Engineering Intern for Google.
Ryan Marien
(Co-Founder)Co-Founder of SnapSaves. Also Founded Buytopia.ca.
Share this job