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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ph. D. degree and publications in machine learning, signal processing, electrical engineering, computer science, statistics, physics, or related fields. Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, and human-computer interaction.
$251,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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1 year experience with Natural Language Processing, Generative AI or related techniques for machine understanding of natural language (i.e., written text, omics data, or similar.
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Js, Scala, Spark, PySpark, Hadoop, Kafka, Rust, NoSQL, or Kubernetes Coursework or Knowledge of Gen AI, LLM, Machine Learning Knowledge of Distributed Systems Design, Scalability, High Availability Resiliency Knowledge in Mobile Device delivery.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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Proficiency in Python, data manipulation (SQL, pandas, pyspark), and machine learning tools (Scikit-learn, statsmodel, XGBoost) 5+ years in statistical data analysis, feature engineering, predictive modeling, and data visualization.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Role: We are seeking a self-motivated, experienced Machine Learning Engineer to develop, deploy, and refine tools to accelerate our antibody design cycle. BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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We are seeking a Senior Machine Learning Engineer, Science with expertise in advanced deep learning architectures, feature enhancement, and Large Language Model (LLM) applications.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. or PythonSolid experience as a full-stack or backend developer, showcasing a deep understanding of system design, data structures, and algorithmsSolid understanding of web servers and web technologiesExperience handling large data setsCompensationThe salary range for this position is $155,000 to $220,000.
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Statistical analysis experience, including experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
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Apply and advance artificial intelligence and machine learning (AI/ML) approaches, particularly generative AI models, across stages of large molecule workflows, including molecular property predictions, AI-guided candidate selection and engineering.
$214,280 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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A successful Applied Performance Engineer will have a broad range of skills and experience ranging from strong Cloud, scripting, SQL, Python, data analytics, data engineering, and performance analysis.
$276,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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machine learning natural language processing full time data engineering jobs in San Mateo, CA
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