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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime at an unprecedented scale.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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We build full-stack applications, tooling, and frameworks to improve the productivity of teams at Discord, in particular our product, analytics, and machine learning teams. Experience defining architecture, tooling, and strategy for a large-scale data processing system.
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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 24 days ago - UpvoteDownvoteShare Job
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Lead Machine Learning Engineer. Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Experience with data transformation tooling (dbt is preferred), data pipeline services like Stitch and Fivetran, and orchestration tools like Airflow.
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From distributed data processing with Apache Spark to full stack web development on the Experimentation UI, to building and maintaining Kubernetes applications, you’ll have the opportunity to wear many hats and create outsized impact.
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As the Head of Data you will be responsible for leading centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams and will be the architect of Square's Data strategy.
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Insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. The heart of insitro's strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical and cellular datasets that address key shortcomings in the target discovery and drug development process.
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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. You have a solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with Gen AI, LLMs, Predictive Analytics and Machine learning landscape is a huge plus.
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Create strategies and blueprints that use machine learning to improve operations and refine processes (procure-to-pay, order-to-cash, record-to-report) Underpinned by technology, data, analytics, AI, change management, talent and sustainability capabilities, our Strategy & Consulting services help architect and accelerate all aspects of an organization s total enterprise reinvention.
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Were rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
$135,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We’re looking for a curious and big picture thinking iOS Engineer to join Square’s Omnichannel Mobile team. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services.
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Our team is responsible for building data and analytics services to improve our Motion Planning team’s Machine Learning Platform. Some machine learning experience. We’re searching for a Senior Software Engineer to join Aurora’s Motion Planning team.
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machine learning software data processing big jobs Company: Lyft in San Francisco, CA
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No matter how happy we are with our jobs, there are days when we feel overwhelmed and want to call out of work. No, don't feel guilty. It's expected because we're humans, and we can't control the uncertainties of life. But the problem lies in how to call out of work without seeming uncommitted to work, especially if you seldom get work-free days.
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