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As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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Additionally, we are dedicated to crafting exceptional data infrastructure and innovative solutions in the realms of data science and machine learning. Stay up-to-date with the latest advancements and trends in machine learning and data science and apply them to evolve the measurement system.
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In this position, you will be responsible for establishing and executing the strategy for our organization's Machine Learning products. 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.
$160,000 - $280,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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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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Okta, the leading identity and access management platform, is seeking a Senior Product Marketing Manager to play a pivotal role in building Okta’s strategy to connect SaaS builders and SaaS consumers within a secure, interoperable app ecosystem.
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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. Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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We have multiple ongoing research studies leveraging our proprietary real-world data, including an even larger ketamine analysis leveraging machine learning to predict treatment outcomes.
$164,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. The Underwriting systems engineering team is the main interface between the world of ML and product engineering, and as such your work will include everything from backend engineering, developing data pipelines, to creating features, and working with rules engines.
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Swayable is looking for a high-performing, fast-learning, and energetic Client Strategy Director to support our enterprise clients, lead the development of strategic pre-testing programs for major accounts, and drive upsell and expansion together with our sales team.
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This role will report directly to the Vice President of the NA VCA MSA + Fintech Team and partner closely with multiple stakeholders including VCA (e.g. Segments, Practices, and Strategy and Operations) and broader Visa Teams (e.g. Account Executives, Product Teams) to co-develop, implement, and deliver these new strategies, roadmaps, products and processes.
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product strategy machine learning jobs Title: data analyst in San Francisco, Grove-city, Ohio
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