- 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
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Description
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