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Examples include MPP data warehouses like Snowflake and Amazon Redshift and all-in-one Apache Spark platforms like Databricks. Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow.
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You are familiar with data infrastructure and toolings such as Presto, Hive, Spark and BigQuery. MongoDB is growing rapidly and seeking a Senior Software Engineer for the Machine Learning Platform team to be a key contributor to the critical data science and machine learning initiatives at MongoDB. The ML Platform team focuses on building a scalable, reliable, and flexible machine learning ecosystem encompassing key components such as model training, deployment, instrumentation and performance tracking in order to empower critical MongoDB product and business initiatives.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
Full-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Operate on or build solution required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS and Spark technologies. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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AI related technologies: Familiar with AI technologies such as machine learning, deep learning, and natural language processing, and familiar with the latest developments and applications of AI technology.
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Minimum Qualifications: 3+ years of professional experience in software engineering, using Python technologies Prior professional experience working with machine learning engineers and data scientists Experience with JavaScript frameworks such as React and TypeScript Professional experience with Spark and/or PySpark Prior experience with Gen AI tools such as GPT or BERT is a plus.
$130,000 - $170,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data systems in production: eg, Spark, Pinot, Presto. About The RoleWe use machine learning and large language models to build software which helps our customers operate their business effectively.
$278,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. Leverage computer vision, NLP, GenAI, entity resolution, Deep Learning to create the best Consumer facing menus for Merchants.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Center 3 (19075), United States of America, McLean, VirginiaSenior Lead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
$234,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies.
$242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What we offer: Remote-friendly culture; Professional Growth; Medical insurance; Corporate wellbeing program; Competitive Compensation; Paid Vacations, Statutory Holidays; Paid sick leaves; Remote First allowance; Work from Home Reimbursement; Corporate access to LinkedIn Learning courses' platform.
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Knowledge of and hands-on experience with big data processing and parallel computing frameworks, such as Hadoop and Spark. As a Software Engineer on the Ads Targeting team, you will design and build large-scale foundations for data processing and serving for next-generation ads targeting products, and applied machine learning models to scale budgets by understanding user interest and intention.
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