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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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Implement real-time cutting edge algorithms in signal processing, computer vision, and machine learning. Propose, prototype, and deliver new methods and machine learning models to multiple production environments including Linux and mobile (iOS, Android.
$175,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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Assisting the team and the team manager in collecting data using SQL to present to leadership and other stakeholders the metrics on fraud strategy effectiveness. The team also works closely with our model product owners, Schwab Model Review Oversight organization, Internal Audit teams, and our business stakeholders and in Banking and Brokerage operations to provide updates and metrics on ongoing fraud effectiveness in all of the previously mentioned Move Money products.
$101,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Drive decision-making on nuanced product trade-offs informed by key user journeys, technical insights, and product strategy. Influence the product line strategy and roadmap, including long-term vision, user segment insights, technical innovation, market trends, and platform capabilities.
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Meet with FinTech founders, venture capitalists, private equity firms, and traditional finance executives in order to understand strategy, product roadmaps, acquisition interests, and capital raising / liquidity needs.
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OSARO is a San Francisco-based startup company building machine learning software for industrial automation, to power robots in logistics and material handling centers. You will collaborate with Operations, Software, and Machine Learning teams to research, design, integrate, test and deploy new robotic hardware including: robot cell designs, end effectors, cameras, lighting, HW control devices (PLCs, I/O couplers, sensors, etc), pneumatics, actuators, custom mechanisms.
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This is an ideal role for someone who thrives in ambiguity and has a consistent track record of contributing to the product strategy and roadmap for a complex machine learning problem space.
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Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations.
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You will contribute to the development of machine learning models and infrastructure needs across the Attentive platform and work with Product Management and Engineering to implement end-to-end modeling use cases.
$208,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Product strategy - Contribute to our digital transformation strategy through design. We're looking for a Senior Product Designer that appreciates the massive opportunity that human-centered design poses for the supply chain industry to join Loop's core product team.
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We are a group of data scientists, machine learning engineers and software engineers that share a passion for designing data products, and building Generative AI services to help improve the way that generative product is delivered.
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As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. - Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.
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Internally develop and deploy software, leveraging open-source technologies, machine learning, and data transformation. Lead experiments and drive maturity in applying emerging technology disciplines including robotic process automation, machine learning, self-serve analytics to the Enterprise Risk portfolio.
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Demonstrated impact on product strategy and user experience in previous roles, preferably within tech or financial services. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers.
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product strategy machine learning jobs Title: data analyst in San Francisco, Grove-city, Ohio
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