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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-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree 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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization.
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Enterprise data services, enterprise data integration, data virtualization, web integration, web automation, unstructured data, virtual database, real-time data, cloud integration, big data integration, Data Warehouse, Agile BI, Logical Data Warehouse, data governance, self-service BI, data analytics, machine learning, artificial intelligence, Data Integration, Data Fabric, Data Governance, data mesh, and data management.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$122,500 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Collaborate closely with product owners, software engineers, machine learning experts, and data scientists. This role offers the opportunity to influence a large group of product owners, software engineers, machine learning experts, and data scientists.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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Experience in one or more of the following areas: machine learning, statistics, deep learning, reinforcement learning, experimentation, NLP, computer vision, recommendation system, and other data science domains.
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We are seeking a Bioimage Informatics Scientist - Image Analysis & Machine Learning to spearhead our next efforts to extract quantitative biological insights from millions of fluorescence microscopy images.
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Good knowledge in data science methods and best practices, such as data analysis, data visualization, machine learning & statistical modeling. Establish scalable, efficient, automated processes and deliver end-to-end data products with large-scale data analysis, experimentation, machine learning model development, validation, and serving.
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About the role As a Staff Machine Learning Engineer at Ladder, you're an integral part of our engineering team playing a critical role in designing, developing and deploying advanced machine learning models to transform the life insurance industry.
$173,000 - $221,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our data scientists are working on exciting and interesting problems in areas like LLM evaluations and metrics, retrieval augmented generation, feedback-based learning, parameter efficient fine-tuning, reinforcement learning; LLM alignment, bias mitigation, and multilingual support.
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Develop software that employs Artificial Intelligence and Machine Learning techniques to improve performance of data analysis pipelines. Machine learning with deep neural networks using pytorch/tensorflow.
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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search. Be an expert in matching algorithm and recommender systems machine learning models and own the implementation of dating recommendations in Grindr.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience in two or more applicable data science disciplines: statistical modeling, machine learning, data mining, time series data analysis, or data engineering.
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