Output Biosciences
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Machine Learning Engineer (NYC)
role at
Output Biosciences
This role is located in New York, NY. Get AI-powered advice on this job and more exclusive features.
Base pay range $110,000.00/yr – $250,000.00/yr
The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales – from molecules to organisms – enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top‑tier VCs including Y Combinator. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting‑edge AI systems capable of complex biological reasoning across multiple scales.
Build foundational models for biology capable of reading and writing biology at scale
Develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi‑scale biological systems
Work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi‑GPU and multi‑node setups while handling large‑scale biological datasets
Engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization
Develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits
Who We're Looking For
You've earned a Bachelor's in Computer Science, Machine Learning, or a related technical field
You have 3+ years of experience developing and implementing deep generative learning models
You have experience pre‑training models and are proficient in distributed computing environments
You're proficient in Python and have expertise with at least one major deep learning framework (PyTorch, TensorFlow, or JAX)
You have experience with generative architectures such as transformers, diffusion models, and autoencoders
You are skilled in working with tera‑scale datasets and scaling models to billions of parameters
You possess a strong understanding of ML fundamentals, architecture, optimization, and evaluation metrics
You have experience designing and implementing efficient data pipelines for large datasets
You are experienced in developing robust evaluation frameworks and ensuring data integrity in ML projects
You are experienced in code organization, version control, and collaborative software development practices
Who You Are
You have excellent problem‑solving skills and the ability to quickly adapt to new challenges
You exhibit a proactive approach to problem‑solving, thinking beyond the specific task and taking ownership of challenges
You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty
You have excellent communication skills and can clearly articulate complex technical concepts
You are motivated by making a real impact and committed to tackling problems of significant consequence with determination and creativity
Bonus Points
Experience applying machine learning to biology or chemistry
Contributions to open‑source ML projects or published research papers in the field of AI/ML
Experience optimizing ML models for high‑performance computing environments
Familiarity with ML‑Ops practices and tools for managing ML experiments and deployments
Our Values ❤️
Heart : We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.
Excellence : We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.
Practicality : We value practicality and results‑oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community.
Honesty : We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.
Fun : We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling.
What We Offer
We encourage new and different ideas, creativity and contrarian thinking.
You own your day‑to‑day management. What we care about is that we all hit our milestones.
Competitive salary and equity in a growing, well‑funded startup.
Excellent medical, dental, and vision coverage.
Healthy feedback‑focused environment to help you strive; leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you.
We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!
Compensation Range $110,000 - $250,000
Seniority Level Mid – Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Referrals increase your chances of interviewing at Output Biosciences by 2x.
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Machine Learning Engineer (NYC)
role at
Output Biosciences
This role is located in New York, NY. Get AI-powered advice on this job and more exclusive features.
Base pay range $110,000.00/yr – $250,000.00/yr
The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales – from molecules to organisms – enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top‑tier VCs including Y Combinator. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting‑edge AI systems capable of complex biological reasoning across multiple scales.
Build foundational models for biology capable of reading and writing biology at scale
Develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi‑scale biological systems
Work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi‑GPU and multi‑node setups while handling large‑scale biological datasets
Engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization
Develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits
Who We're Looking For
You've earned a Bachelor's in Computer Science, Machine Learning, or a related technical field
You have 3+ years of experience developing and implementing deep generative learning models
You have experience pre‑training models and are proficient in distributed computing environments
You're proficient in Python and have expertise with at least one major deep learning framework (PyTorch, TensorFlow, or JAX)
You have experience with generative architectures such as transformers, diffusion models, and autoencoders
You are skilled in working with tera‑scale datasets and scaling models to billions of parameters
You possess a strong understanding of ML fundamentals, architecture, optimization, and evaluation metrics
You have experience designing and implementing efficient data pipelines for large datasets
You are experienced in developing robust evaluation frameworks and ensuring data integrity in ML projects
You are experienced in code organization, version control, and collaborative software development practices
Who You Are
You have excellent problem‑solving skills and the ability to quickly adapt to new challenges
You exhibit a proactive approach to problem‑solving, thinking beyond the specific task and taking ownership of challenges
You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty
You have excellent communication skills and can clearly articulate complex technical concepts
You are motivated by making a real impact and committed to tackling problems of significant consequence with determination and creativity
Bonus Points
Experience applying machine learning to biology or chemistry
Contributions to open‑source ML projects or published research papers in the field of AI/ML
Experience optimizing ML models for high‑performance computing environments
Familiarity with ML‑Ops practices and tools for managing ML experiments and deployments
Our Values ❤️
Heart : We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.
Excellence : We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.
Practicality : We value practicality and results‑oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community.
Honesty : We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.
Fun : We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling.
What We Offer
We encourage new and different ideas, creativity and contrarian thinking.
You own your day‑to‑day management. What we care about is that we all hit our milestones.
Competitive salary and equity in a growing, well‑funded startup.
Excellent medical, dental, and vision coverage.
Healthy feedback‑focused environment to help you strive; leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you.
We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!
Compensation Range $110,000 - $250,000
Seniority Level Mid – Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Referrals increase your chances of interviewing at Output Biosciences by 2x.
#J-18808-Ljbffr