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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Technical challenges on the leading edge of innovation where software and machine learning. Build strong relationships by being a collaborative and dependable teammate across the software and machine learning teams as well as other key organizational stakeholders.
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Ability to interpret machine learning research and translate it into reliable, maintainable software. Experience with machine learning tools and frameworks such as TensorFlow, PyTorch etc.
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We are seeking a highly motivated software engineer to work at the intersection of the Laboratory for Computational Neuroimaging (LCN; and the center for Large-Scale Imaging of Neural Circuits (LINC; The position is located at the Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, and reports to Principal Investigators Drs. Anastasia Yendiki and Lilla Zöllei.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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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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Set up and operate a 5axis CNC machine to perform tasks such as drilling, grinding, milling, etc. This will include cryogenics, CNC machines, machine tools, soldering and braising, vacuum, welding, and other specialized equipment.
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Experience developing software targeting embedded SoCs such as ARM, NXP, Microchip, etc. Proven industry experience as an Embedded Software Engineer, with a focus on embedded systems, low-level programming, and hardware-software integration.
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Schrödinger, a leader in computational chemistry software and services for preclinical drug discovery, is seeking an ambitious, highly driven, and goal-oriented Account Manager. A highly successful salesperson who's familiar with computational chemistry software, research informatics, and/or drug discovery processes.
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All-around training in all areas of tool making and conventional soft machining, CNC Machining, hard machining, heat treatment, precision grinding, precision ram EDM, precision wire EDM, mold making, die making, electrode manufacturing, proto-typing, machine assembly and debug, planning, quality and metrology.
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For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions. PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics.
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In-depth understanding of HMI/SCADA hardware/software platforms such GE iFIX, Rockwell Automation FactoryTalk View, Inductive Automation’s Ignition, and Siemens. In-depth understanding of DCS hardware/software platform such as Emerson DeltaV, Rockwell PlantPAx, or similar.
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machine software jobs Company: Facebook in Cambridge, MA
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