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Machine Learning Engineer New York City – IN PERSON $175,000 - $200,000 + Equity Harnham is partnered with a notable high-growth technology company at the forefront of radio spectrum and wireless signal analysis.
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Within Bloomberg Law (BLAW), the BLAW Machine Learning Team is the central machine learning engineering team with 10 machine learning engineers working with groundbreaking technologies to build data-driven customer-facing products using Natural language processing (NLP), Information extraction (IE) and Machine Learning (ML) techniques such as named entity disambiguation, text classification, clustering and topical modeling, text summarization and personalized recommendations.
$165,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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As a Staff Machine Learning Engineering Manager, you will work with cross-functional leads to design solutions in a highly ambiguous, impactful, and interesting problem space with a high degree of autonomy.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
$183,854 - $289,990 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Databricks for data engineering, analytics, and machine learning. Utilize Databricks for data engineering, analytics, and machine learning tasks. Job DescriptionJob DescriptionDescription/Job SummarySTB is currently seeking a highly skilled and experienced Database Architect with expertise in SQL Server, Azure Technologies, Databricks, and Python to join our team.
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Growth stipend: We believe learning is the key to winning, so we offer an annual learning budget of $1,200 per person to spend on courses, conferences, coaching, or whatever you think will help you improve and grow as a software engineer.
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Visits classes of students in NYC schools across the five boroughs to deliver MoMA learning programs. Works directly with MoMA staff to deliver pre-planned learning programs for a range of audiences.
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Expertise with CI/CD processes and contributes to a sustainable and robust codebaseExperience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)Build and interact with production systems for serving machine learning predictions.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Preferred qualifications:Masters Degree in IO or Cognitive Psychology, Learning Sciences, or Human ResourcesPrevious internship or work experience in HR preferredJerry is proud to be an Equal Employment Opportunity employer.
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Expected familiarity with applied machine learning techniques and numerous machine learning algorithms, including classification and regression algorithms, market basket analysis, etc.
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Research experience in machine learning, deep learning, and/or natural language processing. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU.
$85.1 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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machine learning jobs Title: machine learning engineer Company: Cubiq Recruitment in New York, Fernley, Nevada
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