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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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Our team leverages sophisticated machine learning, data mining, and big data technologies to help customers discover the right products. You will weigh technology alternatives and be comfortable with products using machine learning and AI generative content.
$144,000 - $279,900 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Proven track record managing and scaling machine learning teams in one or more of the following areas: computational advertising, recommendation systems, risk/fraud modeling, autonomous vehicles, search, natural language processing, or a related field.
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We're looking for a top-notch search engineering leadership in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, and search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
$77,200 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.
$145,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Weleverage cloud computing, big data & streaming technologies, analytics and machine learning to enablecustomer centric data-driven decisions. Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving.
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Risk and AIML Platform Solutions(AMPS) is the Bigdata and Machine learning engineering and Platform team and the centre of excellence across PayPal for working with Big Data and Machine Learning.
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Experience with machine learning/big data at scale (GPU, Docker and Kubernetes) Specific Skillset We're looking to augment our existing team with someone who has deep experience in managing a large Elasticsearch cluster indexing machine learning vectors that power many features in our product including dataset search.
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These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning.
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Engage with Machine Learning Engineers to determine how data quality variations influence LLM model performance. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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Bachelor’s degree with six or more years of relevant work experience as a Data Scientist practicing model development and production for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with two or more years of relevant experience as a data scientist or machine learning engineer.
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As a Big Data Software QA Engineer, you will champion the assessment of Data Science Solution deliverables across various real time services for various products across PayPal, Venmo, Braintree and other areas, performing Big Data applications testing and API testing.
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Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing. Experience in building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search, etc.
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We are looking for a Principal Product Manager-Technical to own whole page organization and layouts across search. Successful candidates will enjoy diving deep into data, have well developed analytical skills, excellent communication strategies, and have experience with executive level reviews.
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