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This engineer works within a team developing StubHub’s next-generation Customer Support platform, integrating Siebel, with our telephony, eCommerce and Business Process Management portals.
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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. We build tools to interact with and monitor our vehicles remotely: everything from in-the-field diagnostics to step-function operational improvements like remote software deploy and automated scheduling.
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5+ years of experience as a Machine Learning engineer building production-level pre/post-processing data pipelines for ML/DL modelExperience in statistical analysis & visualization on datasets using SQL, Pandas or R.
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Matt has deep expertise in computer graphics and machine learning, and previously led the engineering team at Operator. Enable the Facet team to easily develop and deploy new machine learning capabilities at scale.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. This team builds and integrates ML solutions for evaluating customer cash flow risk including risk of default on credit obligations, risk of fraud & abuse of loans and other situations where Cash App advances funds or provides liquidity to customers.
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Must successfully complete competency-based interview with a focus on high performance computing disciplines (such as CFD, FEA, Molecular Dynamics, Weather Forecasting, Computational Chemistry, Reservoir (Seismic) Simulation, Media Rendering, Machine Learning, Financial etc.
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As a part of a cross-functional team of experimental and computational scientists, utilize state-of-the-art in silico tools to improve and predict affinity, selectivity, ADME, and safety of next-generation peptide therapeutics.
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The Personalization Machine Learning (PML) team strives to create a personalized experience on Cash App and Afterpay by tailoring recommendations and search ranking results for our customers.
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Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
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Founded in 2018 by CPAs, tax attorneys, and software developers, TaxBit is establishing an entirely new category of business to enable widespread adoption of cryptocurrency and other digital assets.
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As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines.
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Our work combines genomics, proteomics and state-of-the-art imaging technologies with software engineering, machine learning and data science. Pioneer novel methods for multi-modal data analysis (e.g. network analysis, machine learning) and develop new data visualization solutions.
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We build our services over Cash App's ever-evolving infrastructure, and as a senior engineer on the team, you will embrace these changes and scale our tech stack to promote future evolvability.
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Build from scratch a suite of data science and machine learning solutions that will make up the core of Square's next generation attribution system. We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you.
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As a Senior Staff Software Engineer in this team, your job is to build and improve this platform. More than 6,000 companies, including Microsoft, Zoom, Salesforce, and Cartier, use Productboard to understand what users need, prioritize what to build next, and rally everyone around their roadmap.
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machine learning software engineer next generation customer jobs in South San Francisco, CA
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