Machine Learning Engineer @ XOPS | Jobright.ai
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Machine Learning Engineer jobs in Pleasanton, CAH1B Visa Sponsored Machine Learning Engineer jobs in Pleasanton, CA
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XOPS ยท 1 week ago

Machine Learning Engineer

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Responsibilities

Design, develop, and implement machine learning models and algorithms that leverage graph databases, to solve complex business problems
Analyze and interpret complex datasets to extract meaningful insights and patterns.
Collaborate with cross-functional teams to define project requirements and objectives
Optimize and maintain graph databases, focusing on performance and data retrieval efficiency
Ensure the quality and reliability of machine learning models through rigorous testing and validation
Stay updated with the latest advancements in machine learning and graph databases and incorporate them into our products and solutions
Provide mentorship and guidance to junior machine learning engineers
Document and communicate research findings, methodologies, and results to internal and external stakeholders

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.

Machine LearningGraph AnalyticsGraph DatabasesNeo4jCypherPythonRTensorFlowPyTorchStatistical ModelingData AnalysisProblem-SolvingAnalyticalCommunicationCollaborationBig Data ProcessingHadoopSparkAWSCloud Platforms

Required

Ph.D. in Computer Science with expertise in Machine Learning, Graph Theory, and related fields
5+ years of experience in designing and implementing machine learning models and algorithms, with a focus on graph analytics
Expertise in graph databases, Neo4j preferred, and their query languages (e.g., Cypher)
Proficiency in programming languages such as Python or R, as well as machine learning frameworks like TensorFlow or PyTorch
Strong understanding of statistical modeling and data analysis techniques
Excellent problem-solving and analytical skills
Ability to work on complex problems and deliver innovative solutions
Excellent communication and collaboration skills

Preferred

Experience with big data processing frameworks (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS) is a plus

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Paid Time Off

Company

XOPS

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We believe in ITOps teams. Processes are broken, not people. We clean up the chaos with observability and runbook automation built for ITOps.

H1B Sponsorship

XOPS 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 (1)

Funding

Current Stage
Early Stage

Leadership Team

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Mayan Mathen
CEO
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Company data provided by crunchbase
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Orion

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