‍ Machine Learning Researcher (PhD) - Deep Generative AI

Output Biosciences
New York, NY, US
$120K-$220K a year
Full-time

Job Description

Job Description

The Role

Join us in creating biological reasoning in generative AI to revolutionize disease understanding and treatment. As a machine learning researcher, you'll work alongside our founders to build a biologically-aware AI platform that understands complex biological relationships and generates novel therapeutics.

You will develop new approaches to infuse biological understanding into AI models, innovating on key architectural components to unlock unprecedented capabilities

You will design and train innovative AI models using large, diverse biological datasets

You will tackle unique challenges such as extremely long context in biological sequences and multi-modal data

You will solve challenging AI research problems at scale, tackling key aspects such as model architecture and scaling, pre-training and fine-tuning strategies, and rigorous evaluation methods

Your work will span various Gen AI architectures, including transformers, autoencoders, GANs, and diffusion models, as well as additional deep learning architectures

Make a real tangible impact on millions of lives by pushing the boundaries of generative AI.

No prior biological background required we'll bring you up to speed on everything you need to know.

Who We’re Looking For

You have a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field

You have a PhD in Deep Learning, Artificial Intelligence or other relevant field with 2 years of research or industry experience

You have first author publications experience at peer-reviewed AI conferences or journals

You have experience writing software and executing complex experiments using Python with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn

You have researched and developed deep learning and generative AI methods

You have experience scaling machine learning models in a cloud computing environment

You take pride in delivering high-quality, clean, efficient, and maintainable code, with a keen eye for appropriate design patterns and software architectures

You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them

You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty

You are a clear and concise communicator, conveying information effectively in written and verbal communication, and enjoy collaborating with and guiding colleagues in a multidisciplinary team

You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity

Bonus Points

You have previous experience applying machine learning in biology or chemistry

You have knowledge of physics, molecular biology, chemistry, or related fields

You have experience in developing efficient code in C / C++

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. We are looking forward to further shaping our culture with early team members.

You'll have a chance to make your mark!

You own your day-to-day management. We don't care when or where you work, we care if 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

Compensation Range : $120K - $220K

30+ days ago
Related jobs
S&P Global
New York, New York
Remote

In this role, you will play a pivotal role in implementing our machine learning engineering operations, ensuring the seamless deployment, monitoring, and management of our machine learning models and data pipelines. Architect, develop and manage machine learning model development and deployment life...

Snap Inc.
New York, New York

Deliver generative machine learning experiences on device. Deep understanding of mathematics and machine learning algorithms. We’re looking for a Machine Learning Engineer to join Snap Inc!. Develop innovative machine learning technology and products that serve millions of Snapchatters. ...

S&P Global
New York, New York
Remote

In this role, you will play a pivotal role in implementing our machine learning engineering operations, ensuring the seamless deployment, monitoring, and management of our machine learning models and data pipelines. Architect, develop and manage machine learning model development and deployment life...

JPMorgan Chase Bank, N.A.
New York, US

As a 2025 Machine Learning Center of Excellence Summer Associate - NLP, Speech Recognition, Quant AI, and Time Series, successful candidate will apply sophisticated machine learning methods to a wide variety of complex domains within natural language processing, large language models, speech recogni...

EY
New York, New York

Experience using Generative AI models and frameworks OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG). Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning. We'll look to you to provide guida...

Selby Jennings
New York, New York

This team will be sitting in their New York office focused on utilizing machine learning and AI to improve existing processes. Utilizing statistical and machine learning techniques to analyze large data sets. Building AI tools and research for Project Managers on a centralized research group. Workin...

JPMorgan Chase Bank, N.A.
New York, US

Comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning, the MLCOE works together to employ cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning. The Machine Learning Center of Excellence (MLCOE) partners across the firm to cr...

Morgan Stanley
New York, New York

Morgan Stanley's Machine Learning Research Department is responsible for working across the Firms many business units and technology teams to solve mission-critical problems. Please see our research papers for more: //morganstanley/about-us/technology/machine-learning-research-team. These candidates...

Selby Jennings
New York, New York

Knowledge of machine learning and deep learning techniques and their application to alpha research. Futures Machine-Learning Quant Researcher | New York. A high performing New York hedge fund is looking to add a Quant Researcher focused on Macro Futures and with applied Machine Learning experience. ...

Ladders
New York, New York

They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models. We are seeking research scientists with a demonstrated ability to apply deep learning to achieve sta...