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Genesis is building a world-class ML team in an industry that has underutilized computational methods for too long. We are creating the best molecular generation and property prediction platform in the world, filling in a critical piece in the drug discovery process. We need you to drive the cutting-edge research that will enable us to find cures for a wider range of diseases, faster than ever before.

You will

• Drive speed and accuracy improvements in our ML platform, coming up with architecture modifications for 2D and 3D graph neural networks, and rapidly implementing and testing them in pytorch
• Keep up with deep learning research, especially pertaining to graph neural nets and graph generative models, and quickly prototype ideas gleaned from the literature
• Dive deep into molecular datasets, creating statistically rigorous train, valid, and test sets to optimally train our models for real-world prediction and generation tasks
• Develop creative featurizations of 2D and 3D molecular structures that are inspired by laws of physics and chemistry, enabling our networks to take better advantage of available data
• Work closely with software engineers and medicinal chemists to make our ML platform maximally adaptive to different use cases

• An ML research scientist with substantial experience in top AI research labs, in academia and/or industry
• A strong software engineer who will write code quickly and uphold our code quality standards
• Experienced implementing, tuning, and testing deep neural networks from scratch based on existing publications -- preferably including your own original architectural ideas -- in pytorch or tensorflow
• A deep thinker who reasons from first principles over pattern matching
• Interested in learning about biochemistry and the drug development process

• The opportunity to work on challenging, high impact ML research that is immediately deployed to accelerate the discovery of new medicines
• Strong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 ML or chemistry papers every week to stay on top of the field and inspire new ideas
• Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program

Genesis Therapeutics is bringing together a world-class computational team to build out the industry's fastest and most accurate small molecule property predictions, by combining the power of machine learning and molecular dynamics. We are looking for experts in small molecule free energy calculations to help develop our MD methods and accelerate our pipeline of first-in-class drug programs for previously undruggable protein targets.

You will

• Work on MD scoring improvements such as force field development, solvation energy calculations, and QM/MM techniques, that will integrate with our sampling / simulation pipelines and ML models for absolute binding free energy prediction
• Improve the accuracy of our ML/MD predictors on our multi-target potency benchmarks, consisting of hundreds of carefully curated potency datapoints and protein-ligand structures across many challenging, high-value protein targets from a diverse set of target classes
• Utilize our cluster of 1,000s of GPUs and 10,000s of CPUs for massive experimentation, with an easy-to-use Python API that manages autoscaling, parallelization, and data pipelining behind the scenes
• Work closely with our ML researchers, computational chemists, and medicinal chemists to validate and quickly deploy improvements to our ML/MD platform for our chemists' daily use on our internal drug programs and collaborations

• A PhD-level researcher with publications in the field of free energy calculation, preferably for proteins and/or small molecules
• Proficient in statistical mechanics, with a solid understanding of the theoretical and practical trade-offs between various scoring and sampling methods, for the current state-of-the-art absolute and relative binding free energy calculation methods
• A skilled programmer, preferably in Python, such that you can quickly implement your research ideas and analyze their performance across our benchmark suite

• The opportunity to work on challenging, high impact MD research that is immediately deployed to accelerate the discovery of new medicines
• A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology
• Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program

At Got It, Machine Learning Engineers and Scientists develop cutting edge technology and integrate it into our conversational AI platform. Our engineers bring fresh ideas from a diverse set of areas, including natural language processing, speech, and conversational AI, cloud computing, large-scale system design, security, artificial intelligence, UI design, and more. We need our team to be enthusiastic and versatile, display leadership, and take on problems across the full stack.

As a Lead ML engineer or a scientist, you would work with a fast paced team on mission critical R&D projects towards specific, and ever evolving, business goals. With your technical expertise, you would manage project priorities, deadlines, and deliverables.

Minimum requirements:

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
• 3 years+ domain expertise in NLP and deep learning
• Experience with one or more general purpose programming languages including but not limited to: Python, Java, or C/C++

• Ph.D. with specialization in one of the following areas: NLP, Conversational AI or machine learning
• 5+ years of experience with one or more of the following: natural language processing, conversational AI, speech recognition, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
• Strong publication record
• Strong software design and development skills and experience working effectively with science, data processing, and software engineering teams
• Proven track record of innovation
• Excellent written and spoken communication skills
• Experience with relevant technologies (e.g., PyTorch, Tensorflow, machine learning libraries)
• Entrepreneurial spirit combined with strong architectural and problem solving skills

At Got It, Machine Learning Engineers and Scientists develop cutting edge technology and integrate it into our conversational AI platform. Our engineers and scientists bring fresh ideas from a diverse set of areas, including natural language processing, speech and conversational AI, cloud computing, large-scale system design, security, artificial intelligence, UI design and more. We need our team to be enthusiastic and versatile, display leadership and take on problems across the full stack.

As an ML engineer or a scientist, you would work with a fast paced team on mission critical R&D projects towards specific, and ever evolving, business goals. With your technical expertise, you would manage project priorities, deadlines, and deliverables.

Minimum requirements:

• Bachelor’s degree in Computer Science or related field or equivalent practical experience
• 3 years of software development experience, or 1 year with an advanced degree.
• Experience in applied machine learning, NLP or artificial intelligence.
• Experience with one or more general purpose programming languages including but not limited to: Python, Java, or C/C++.

• Masters or PhD with specialization in one of the following areas: NLP, Conversational AI or machine learning
• 3+ years of experience with one or more of the following: natural language processing, conversational AI, speech recognition, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
• Research Publications
• Strong software design and development skills and experience working effectively with science, data processing, and software engineering teams
• Excellent written and spoken communication skills
• Experience with relevant technologies (e.g., PyTorch, Tensorflow, machine learning libraries)
• Entrepreneurial spirit combined with strong architectural and problem solving skills