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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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This position is ideal for someone with deep expertise in machine learning, deep learning (particularly for building biologically meaningful representations of chemical structures), and computational chemistry, sciences and who is committed to building a high-preforming team.
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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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We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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CRA has an exciting opportunity for an enthusiastic senior scientist with expertise in maritime operations, data collection/analysis, uncrewed vehicles, sensing, perception, autonomy, simulation, machine learning, and/or computer vision to lead cutting-edge intelligent systems research and development applied to real-world challenges.
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Operates and maintains washer, dryer, dry cleaning machine, steam tunnel, presser and iron. Other amenities include The Wellness Floor, a five-star urban spa destination; chic restaurants including brunch hotspot One+One; Trifecta, the stunning restaurant and cocktail lounge featuring Boston's best cocktails and delicious New England fare; and more than 10,000 square feet of dedicated meeting and event space.
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Founded by an award-winning team of computer scientists and researchers out of MIT, we are a venture-backed company headquartered in Davis Square, Somerville, MA. Our investors include Amdocs, Andreessen Horowitz, Comcast Ventures, NEA, and Pillar VC. We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software.
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Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc. A minimum of 2 years of industry or research experience in signal processing and/or machine learning.
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As the premier data services provider specializing in Machine Learning and AI services for data and application modernization, we partner with the premier technology companies across the modern data platform like Snowflake, AWS, Azure, Fivetran, GCP and dbt to deliver cutting-edge services and solutions.
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Must Have - AWS (SageMaker, Lambdas, S3, Buckets), ETL, Python, Machine Learning Ops experience. You are familiar with applied data science methods, feature engineering and machine learning algorithms.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.
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The purpose of the is study is the Integration of machine learning and genomics to predict outcomes for newly diagnosed, relapsed and refractory mature T-cell and NK-cell neoplasms: a global study of the PETAL Consortium.
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Past experience with Data mining, data base, functional analysis, machine learning algorithm, dashboarding and data visualization is desirable. Position Title: Clinical Data Scientist. Design, develop, and modify data infrastructure and templates to help scientist accelerate the processes of data analysis and reporting.
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The Analytics & Machine Intelligence Engineer II will work with a team of experienced staff to design and implement new techniques in a variety of technologies, including Artificial Intelligence, Decision Support / Information Exploitation, Natural Language Processing, Human-Machine teaming, Automation, etc.
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machine job Title: scientist Company: Pwc in Boston, MA
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