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Output Biosciences · 3 months ago

Machine Learning Engineer (NYC)

New York HQ 🗽

Full-time

Onsite

Mid Level

$110K/yr - $250K/yr

3+ years exp

Output is a stealth biotech company focused on building the world's first biological reasoning model. As a Machine Learning Engineer, you will develop and implement advanced AI systems for biological applications, working on foundational models and optimizing performance across large-scale datasets.

Artificial Intelligence (AI)BiopharmaTherapeutics

Responsibilities

You will build foundational models for biology capable of reading and writing biology at scale

You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems

You will 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

You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization

You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits

Qualification

Deep generative modelsDistributed computingPythonDeep learning frameworksMachine learning fundamentalsData pipeline designEvaluation frameworksProblem-solving skillsCommunication skillsCollaboration practices

Required

You have a Bachelor's in Computer Science, Machine Learning, or a related technical field

You have 3+ years of experience in developing and implementing deep generative learning models

You have experience pre-training models and are proficient in distributed computing environments

You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX)

You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders

You are skilled in working with terra-scale datasets and scaling models to billions of parameters

You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics

You have experience in designing and implementing efficient data pipelines for processing and managing large datasets

You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects

You are experienced in code organization, version control, and collaborative software development practices

Preferred

You have experience applying machine learning to biology or chemistry

You have contributed to open-source machine learning projects or published research papers in the field of AI/ML

You have experience optimizing machine learning models for high-performance computing environments

You are familiar with ML-Ops practices and tools for managing ML experiments and deployments

Benefits

Competitive salary and equity in a growing, well-funded startup

Excellent medical, dental, and vision coverage

Company

Output Biosciences

Output is pioneering Biologically-Aware Generative AI to finally understand complex biological systems and generate breakthrough medicines.

Founded in 2021

New York, New York, USA

2-10 employees

https://www.outputbio.com

Funding

Current Stage

Early Stage

Total Funding

unknown

2021-08-22Pre Seed

Leadership Team

Mirella Mashiach

Co-Founder

Company data provided by crunchbase