Machine Learning Engineer
BiorenderSalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, BiotechnologyIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a related technical field, and a PhD with 2 years of research experience, or a Bachelor's degree with 4+ years of research or industry experience in Deep Learning, Artificial Intelligence, or other relevant fields. Strong proficiency in Python and expertise in at least one major deep learning framework such as PyTorch, TensorFlow, or JAX is required, along with a publication record in top-tier AI conferences or journals like NeurIPS, ICML, or ICLR.
Responsibilities
As a Machine Learning Research Scientist, Interpretability, you will develop specialized methods for understanding biological reasoning models, reverse-engineering how they represent and process complex biological information, and design and conduct experiments to uncover interpretable features across biological scales. You will address unique challenges in biological model interpretation, such as disentangling the multi-scale, hierarchical representations of biological systems, and build biology-specific visualization tools that can map model activations to meaningful biological concepts, working alongside founders and team members to build AI systems capable of processing and reasoning across multiple biological data modalities simultaneously.
Skills
Python
PyTorch
TensorFlow
JAX
Deep Learning
Biological Modeling
Feature Engineering
Visualization
AI
Machine Learning
Interpretability
Output Biosciences
Develops preventative therapies for chronic diseases
About Output Biosciences
Output Biosciences focuses on developing preventative therapies aimed at extending human healthspan by addressing chronic diseases such as diabetes and heart disease. The company combines biotechnology with artificial intelligence to create therapies that can be discovered and manufactured more quickly and safely than traditional methods. This allows them to bring new treatments to market in just a few months, which is much faster than the usual drug development process. Their main clients include healthcare providers, pharmaceutical companies, and research institutions seeking effective solutions for chronic disease management. Output Biosciences differentiates itself by leveraging computational biology to streamline therapy development and commercialization, generating revenue through partnerships and licensing. The goal of Output Biosciences is to fundamentally change healthcare by preventing chronic diseases before they occur.
Key Metrics
New York City, New YorkHeadquarters
2020Year Founded
$125KTotal Funding
PRE_SEEDCompany Stage
AI & Machine Learning, Biotechnology, HealthcareIndustries
1-10Employees