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To achieve this, we work closely with various machine learning (ML) applied science teams dedicated to improving the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.
$52,900 - $127,300 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Lead the technical direction for search / recommendation query services, search indexing, data mining, Search algorithms, Visual Search & deep learning in the context of the next generation Search & Discovery platform for Adobe.
$118,500 - $219,100 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Recruit, hire, and mentor a high-performing team of machine learning engineers and data scientists. As the leader of a team of talented machine learning engineers, your primary mission will be to spearhead the delivery of enterprise search solutions within a conversational context.
$187,000 - $299,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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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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Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM. 2+ years of experience with solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience.
$136,800 - $280,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Build machine learning and statistical models to predict or estimate key signals that are used to optimize marketing campaign performance, such as search engine marketing, customer targeting.
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Managed Services, Tech Outsourcing , Professional Services , Staff Augmentation , Information Technology Solutions , Talent Solutions , Learning Solutions , IT Consulting & Staffing, Federal Contracts, Worldwide Recruitment Solutions , IT Strategic Plans , Program & Portfolio Management Approach, Engineering Staffing , Telecom & Healthcare Staffing , IT Executive Search , Personal Staffing , Training & Development, and Direct Hire.
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Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving. leverage cloud computing, big data & streaming technologies, analytics and machine learning to enable.
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Experience in Big Data, search and chatbot technologies. We are currently searching for a Deep Learning NLP Engineer for our Sr. Staff AI Scientist role to report to our Chief Scientist.
$151,200 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Extensive knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O. Working knowledge of one or more of the following NLP fields: Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, Reinforcement Learning, Knowledge Graph and Causal Inference.
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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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About The Role At DoorDash, our Data Scientists have the opportunity to dive into a wealth of delivery data to improve company-wide ML workflows such as Search & Recommendations, Dasher Assignment, ETA Prediction, and Dasher Capacity Planning.
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About The Work Research and develop novel algorithms that solve the most challenging and exciting motion planning and decision making problems in autonomous driving, including optimization-based methods, sampling based methods and search based methods, planning under uncertainty, and combining data-driven techniques with traditional model-based methods.
$138,225 - $207,575 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience with data access optimization for Cassandra, PostgreSQL and Solr/Elastic search and Lucene. We're seeking engineers with fresh ideas spanning information retrieval, distributed computing, large-scale system design, networking and data storage, artificial intelligence, and natural language processing.
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