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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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Proficiency in Python for data science and image processing (e.g., TensorFlow, PyTorch, scikit-image, OpenCV, pandas). A bachelor's degree in a quantitative field (e.g., computer science, biostatistics, electrical engineering, bioengineering, computational biology, or related area) or equivalent experience.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Contribute to an innovative culture that strives for out-of-the-box thinking and creative approaches on analytical solutions beyond traditional models in the area of data science artificial intelligence, machine learning methods, algorithms/model development, validation and tools to drive impactful business decisions.
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We're looking for a medicinal chemist to drive our drug discovery projects, who is also excited about partnering with machine learning scientists and software developers to advance our computational platforms that accelerate compound design and synthesis.
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Ability to work with/in Supervised and Unsupervised Learning, Deep Learning Networks, Natural Language Processing or Computer Vision, Recommender Systems, Python, and/or Software/ML Tools.
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6+ years of industry experience in drug R&D in pharma/biotech or life science-related industries with past experience involving both technical and strategic leadership High proficiency in developing and/or implementing AI/ML models in Python and R, particularly generative protein design, knowledge graphs and semantic modeling and inference, supervised/unsupervised learning, and LLMs. Experience with ML frameworks for deep learning (, tensorflow, keras, MXNet) & cloud platforms.
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Optimize machine learning model implementations and inference timesWork withTFLite, SNPE, or other embedded deep learning libraries Quantize and tune model architecture, speed, and performance whilemaintainingtask performance Participate in rigorous benchmarking and analysis across model classes Deploy to mobile hardware running Android.
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PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 7+ years experience , or MS with 13+ years experience, or BS with 15+ years experience. Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required.
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At 1910 Genetics, we put computation at the heart of drugdiscovery, blending expertise in computational chemistry, structuralbiology, pharmacology, genetics, data science, and softwareengineering to develop drugs for previously undruggable targets.
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You are familiar with applied data science methods, feature engineering and machine learning algorithms. Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.
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Proficient in emerging technologies such as deep reinforcement learning, imitation learning, computer vision, and natural language processing, with a focus on their application in robotics.
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Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery.
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Advanced experience in programming tools such as SAS, R, PL/SQL, Perl, Python, etc. Science and/or Computer Systems/IT background; MBA, advanced degree and / or PMP certification preferred.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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