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We're on the lookout for a candidate who blends robust software engineering expertise with a solid grounding in natural language processing (NLP), adept at bringing machine learning models from concept to production.
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You have in-depth understanding of applied machine learning algorithms, especially NLP, and statistics. By combining cutting-edge data science and a proprietary learning engine in a delightful-to-use software platform, Kalepa is solving this problem and turning every underwriter into a top underwriter.
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The employer will alternatively accept a Doctorate (Ph. D.) degree in Computer Science, Data Science, or related quantitative field of study plus 1 year of experience in the job offered or as Applied Artificial Intelligence Machine Learning Associate, Data Scientist, Software Engineer, or related occupation.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
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We are hiring a full stack software engineer to support our deep learning research efforts. Projects in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Audio Processing, Computer Vision, or other related fields.
$140,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
$145,600 - $270,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are seeking a talented and motivated machine learning engineer to join the team leveraging extensive clinical data resources to develop, validate, and deploy cutting-edge ML technology.
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As a Senior ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Current experience and interest in machine learning/artificial intelligence (surrogate or metamodeling) from a coastal, hydrologic, geoscience or natural hazard perspective; This includes probability analysis, machine learning, storm climatology, database management, civil engineering, and coastal engineering.
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Have expertise in Machine Learning best practices (e.g. model evaluation and hyperparameter tuning, A/B test, feature engineering, feature/model selection), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection.
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Kyle comes from the policy world, previously reporting to the CIO of Schmidt Futures, and with a background in software engineering for machine learning applications. Adam was a research engineer at Otherlab developing high efficiency heat pumps, worked on the DEMO-2 mission at SpaceX to return humans to the ISS, and received his MA from Princeton in Plasma Physics.
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Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. 8+ years of backend software development experience in building and maintaining applications in any mainstream language such as: Java, JavaScript, Python, Kotlin, Ruby, Go, Swift, C.
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machine learning software engineer jobs Company: Jpmorgan Chase Co in New York, Fernley, Nevada
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