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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.
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Be able to work with data scientists, understand and contribute to modern machine learning development lifecycle. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making.
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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, social & cognitive science.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done Qualifications You Have: 5+ years of Machine Learning modeling experience.
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This is a hands-on process engineering role- that means getting your hands dirty with design-of-experiments, analyzing data, research, and processing (we bring up our interns on most of our tools and allow them to use them independently- dry etch, deposition, metrology.
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Proven expertise in building supervised learning models, focusing on regression and classification for biological data analysis, including proteomics, metabolomics, and flow cytometry/FACS.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer at Twelve Labs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. A PhD, or a Master's degree, in machine learning or a closely related discipline.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Spun out of Stanford in 2019, we have built an intelligent analytics platform fueled by our revolutionary device which uses machine perception and sensor fusion to provide an operations digital twin that combines factory operator activity with machine data for the first time.
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Identify, document, and promote data engineering best practices on the team and in the larger organization. Data privacy is a top priority, and we focus on enabling measurement with and without IP and PII data, breaking down walled gardens.
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We are seeking an experienced Senior Geotechnical Engineer to add technical and business development expertise to our Oakland, California office supporting our profitable and growing Dams, Levees, and Hydropower engineering practice.
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Founded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to fuel the development and execution of core business and technology strategies, BC forward is a Black-owned firm providing unique solutions supporting value capture and digital product delivery needs for organizations around the world.
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Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering.
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We will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business.
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Check out our locations, benefits, and more at Job DescriptionThe Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.
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Programming may be in areas such as DeFi, machine learning, data science, ESG, coding, on the technical side. Knowledge of the career paths in quantitative finance, data science, machine learning, and financial technology.
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hands on machine learning data engineering business jobs Company: Meta in San Francisco, CA
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