Underdog Fantasy · 5 days ago

Staff Machine Learning Engineer

United States

Full-time

Remote

Senior Level

$185K/yr - $220K/yr

7+ years exp

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Responsibilities

Implement end-to-end machine learning pipelines, starting from data collection, feature engineering, model training, evaluation, to deployment

Build frameworks to measure model performance and accuracy in production environments, leveraging techniques such as parameter tuning and model optimization

Implement and maintain monitoring, alerting, and logging mechanisms to ensure the health and accuracy of Underdog’s ML systems

Utilize understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble methods, to build production systems

Work closely with engineering and product teams to ensure seamless integration of machine learning services into Underdog’s data platform

Collaborate with the data science and quant teams to deploy ML models into production systems

Mentor junior engineers, lead technical initiatives, and drive results in a fast-paced, dynamic environment

Lead code reviews, provide constructive feedback, and evangelize best practices to maintain code and data quality

Research and keep up to date on emerging ML technologies and trends and focus on iteratively implementing them into Underdog’s engineering systems

Qualification

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Machine LearningCloud Environment AWSCloud Environment GCPCloud Environment AzureML Libraries TensorFlowML Libraries PyTorchML Libraries scikit-learnContainerizationOrchestration Technologies DockerOrchestration Technologies KubernetesOrchestration Technologies ECSData Streaming Frameworks Apache KafkaData Streaming Frameworks Apache FlinkData Streaming Frameworks KinesisGo Programming LanguagePython Programming LanguageOOP LanguagesSQLDevOps PracticesCI/CD PipelinesInfrastructure-as-Code TerraformInfrastructure-as-Code CDKProblem-SolvingLeadershipCommunicationInfluenceCollaborationSports KnowledgeSimulation SystemsInference Systems