Machine Learning Researcher
4 weeks ago
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 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 Master's degree with 3 years of industry experience or a PhD with 2 years of research or industry experience in Machine Learning, Applied Statistics, Computer Science, or other relevant fields
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 are a first author on a publication or peer-reviewed AI conference paper
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
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
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