Machine Learning Engineer @ Keystone AI | Jobright.ai
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Machine Learning Engineer jobs in Bellevue, WAH1B Visa Sponsored Machine Learning Engineer jobs in Bellevue, WA
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Keystone AI · 1 week ago

Machine Learning Engineer

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Comp. & Benefits

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Responsibilities

Collaborating with cross-functional teams to identify business challenges and opportunities for applying machine learning techniques.
Designing, implementing, and testing machine learning models to extract valuable insights from large and complex datasets
Conducting thorough data analysis and pre-processing to ensure high-quality input for the models
Integrating machine learning solutions into existing systems and processes and scaling them for real-world applications
Contributing to the development of proprietary machine learning models/tools and frameworks
Continuously improve CI/CD and testing frameworks
Continuously researching and staying updated on the latest advancements in machine learning and AI technologies

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonRJavaMachine LearningTensorFlowPyTorchScikit-learnCloud ComputingDistributed ComputingEconometricsTime Series AnalysisOptimization TechniquesVirtualizationCluster ManagementDockerKubernetesSystem ArchitectureEngineering Best PracticesModel DeploymentInfrastructure DevelopmentPipeline AutomationEnd-to-End Solutions DeliveryStakeholder Value RealizationComputer ScienceEconomicsProblem-SolvingCommunicationTeamworkIndependence

Required

Possess expert knowledge in system architecture and engineering best practices
Proficiency in programming languages such as Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Minimum 4 years of experience as a Machine Learning Engineer, Software Engineer, Data Scientist, or a similar role, with a focus on developing and deploying ML models, as well as building the corresponding infrastructure for model scaling and pipeline automation
Familiarity with cloud computing platforms and distributed computing frameworks
Familiarity with the implementation of econometrics methods including double machine learning, time series analysis, and optimization techniques
Experience with virtualization and cluster management tools, including Docker & Kubernetes
Demonstrated performance of delivering of end-to-end ML solutions that realized meaningful value to stakeholders
Strong problem-solving skills and the ability to work independently in a dynamic environment
Excellent communication and teamwork skills to collaborate effectively with diverse stakeholders
A strong academic background with a degree in Computer Science, Engineering, or a related field. Additional study or degrees in Economics is preferred

Preferred

Additional study or degrees in Economics is preferred

Benefits

401k contribution
Annual discretionary bonus
Competitive benefits package

Company

Keystone AI

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Keystone is an innovative strategy, economics, and technology consulting firm delivering transformative ideas and novel solutions to global brands and law firms on leading-edge challenges in technology, business, consumer goods, and science.

H1B Sponsorship

Keystone AI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (11)
2022 (23)
2021 (20)
2020 (15)

Funding

Current Stage
Growth Stage
Total Funding
$100M
Key Investors
RLH Equity Partners
2021-07-29Private Equity· $100M

Leadership Team

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Greg Richards
CEO & Co-Founder
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Bartley Tablante
Principal
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Company data provided by crunchbase
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