Machine Learning Research Scientist

4 days ago

🏢 In-office - Manhattan

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Output Inc.

Output develops innovative software and gear for musicians, composers, producers and sound designers across all genres.

Sound Design • Software Development • Music Production

51 - 200

💰 Series A on 2020-10

Description

• Join us in creating biological reasoning and building foundational models for systems biology using generative AI • Innovate on cutting-edge machine learning algorithms to enhance model performance and biological understanding • Design and conduct experiments to validate the model's capabilities across a wide range of biological phenomena • Train and scale innovative AI models using large, diverse biological multi-modal datasets across distributed GPU clusters • Solve challenging AI research problems at scale, tackling key aspects such as model architecture and scaling • Work with advanced generative AI architectures, including transformers, diffusion models and autoencoders • Make a real tangible impact on millions of lives by pushing the boundaries of generative AI

Requirements

• You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics or a relevant technical field • You have a PhD with 2 years of research experience or equivalent experience with 4 years of research or industry experience in Deep Learning, Artificial Intelligence or other relevant fields • You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR) • You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX) • You have researched and developed deep learning and generative AI methods • You have experience with large-scale model training and optimization techniques • You have a track record of solving complex research problems and translating research into practical applications • You are comfortable working with large, diverse datasets and have experience in data analysis and visualization • 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 have excellent communication skills and can clearly articulate complex technical concepts • You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity • You have experience applying machine learning to biological or chemical problems • You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, or cheminformatics or related fields • You have experience with multi-modal learning • You have contributed to open-source machine learning projects • You have experience in developing efficient code in C/C++

Benefits

• 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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