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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer’s proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
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Strong understanding of fundamental computer science concepts, software design best practices, software development lifecycle and common machine learning design patterns. Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks.
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Ampersand Biomedicines, Inc is looking for an enthusiastic and self-driven AI/ML Engineer with deep expertise in development of AI/Machine Learning/Deep Learning to join our team in developing a cutting-edge platform to identify and design new multi-specific medicines across a spectrum of therapeutic areas.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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The ideal candidate will have a robust background in data science, machine learning, bioinformatics, and specific expertise in DNencoded library (DEL) machine learning and small molecule drug discovery.
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Extracts and analyzes complex information from large structured and unstructured datasets using data mining and data modeling, NLP, and Machine Learning (ML). Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Information Systems Management, Mathematics, Physics, or a closely related field and five (5) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) performing data analysis and writing code using SQL and Python programming languages.
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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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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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They are reducing the cost of building LLM. They are hiring a Founding Machine Learning engineer. Their model router comes out of NLP research and they raised $9M from the likes of General Catalyst (Stripe, Airbnb) and NEA (Databricks, Salesforce.
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For this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground. 2 years of AIOps experience - Automating (MLP, Deep Learning, or LLM Models) via cloud data engineering pipelines within Azure Synapse and Databricks.
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The Bioinformatics Scientist is responsible for analyzing antibody selection data from yeast display, implementing machine learning algorithms to enhance data analysis and lead selection, and managing the data pipeline from raw file processing to database storage.
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Using advanced machine learning and state-of-the-art non-invasive robotics, the team aims to communicate with these majestic creatures. Our core tenets are educating broad-minded students; interdisciplinary research; integration across disciplines; and balancing theory, experimentation and practice to create an unmatched environment for learning and exploration.
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As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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machine learning jobs Title: data science Company: Discover Financial Services in Cambridge, MA
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