Anomalo · 2 days ago

Applied Machine Learning Engineer

United States

Full-time

Remote

Senior Level

$210K/yr - $250K/yr

5+ years exp

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Data ManagementInformation Technology

Growth Opportunities

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Responsibilities

Solve Complex Problems: Take the vast problems of data quality and solve them using Machine Learning methods, breaking them down from first principles to deliver innovative solutions.

Drive Product Evolution: Lead the development of features at the heart of Anomalo. Your work will directly empower our customers to swiftly identify, triage, and resolve data quality issues, enhancing their operational efficiency.

Enhance ML Accessibility: Elevate Anomalo’s capabilities in Large Language Models (LLMs) and broaden our feature set, democratizing data quality monitoring for all users, not just the technically adept.

Pioneer in ML: Own and enhance a suite of interpretable ML tools, leveraging your expertise to make significant advancements in how algorithms are applied and understood.

Visualize Success: Craft bespoke visualizations that make complex ML findings clear and actionable, enabling customers to easily grasp and act on data insights.

Advance Data Integrity: Innovate in monitoring and validating data at scale, developing new methodologies that minimize false positives and expand our automated anomaly detection capabilities.

Iterative Excellence: Iterate and roll out new models to continuously improve in the three dimensions: quality, performance, cost. Your contributions will not only advance our technology but also ensure it remains at the cutting edge of efficiency and effectiveness.

Customer-Centric Development: Engage directly with users to gather feedback on your features, seeing firsthand the impact of your solutions and refining them for even greater impact.

Cross-Domain Innovation: Apply your ML prowess across diverse sectors—healthcare, finance, consumer goods—creating robust solutions that excel in varied data environments.

Qualification

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Machine LearningStatistical ModelingTime Series AnalysisData VisualizationsPythonPandasSQLTranslating Complex ConceptsMathematicsStatisticsComputer ScienceData Quality ManagementAnomaly DetectionData AnalyticsLarge Language ModelsFull-Stack EngineeringProblem-SolvingAnalytical Thinking

Required

5+ years of experience applying ML in real-world settings, outside of academia, with a knack for statistical modeling, time series analysis, and meaningful data visualizations.

Proficient in Python, pandas, SQL, with a strong foundation in translating complex ML concepts into clear, actionable insights.

A degree in Mathematics, Statistics, Computer Science, or a related field, or equivalent practical experience, underpinning your technical expertise.