Machine Learning Engineer
BiorenderSalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
$110,000 – $250,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Biotechnology, Data & AnalyticsIndustries
Requirements
Candidates should have a Bachelor's degree in Computer Science, Machine Learning, or a related technical field. They must possess 3+ years of experience in developing and implementing machine learning models and be proficient in Python with expertise in at least one major deep learning framework such as PyTorch, TensorFlow, or JAX. Experience with deep learning and generative architectures, handling large-scale datasets, and distributed computing environments is essential, along with familiarity with AWS for training, inference, and deployment. A strong understanding of machine learning fundamentals, efficient data pipeline design, and robust evaluation frameworks is required, as well as experience in collaborative software development practices and excellent problem-solving skills.
Responsibilities
The Machine Learning Engineer will design and implement advanced machine learning algorithms to enhance model performance and biological understanding. They will develop and fine-tune generative models for biological applications and work on distributed training systems to scale models to billions of parameters. Responsibilities include engineering efficient data pipelines for massive biological datasets and developing robust evaluation frameworks for complex biological models. The engineer will also ensure data integrity and prevent leakage across dataset splits while collaborating with team members to tackle challenges and adapt to new situations.
Skills
Python
PyTorch
TensorFlow
JAX
Transformers
Diffusion Models
Autoencoders
Machine Learning
Deep Learning
Data Pipelines
AWS
Data Handling
Model Evaluation
Version Control
Software Development
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