CellarTracker · 2 days ago

Senior Applied Machine Learning Engineer

Seattle, WA

Full-time

Remote

Senior Level

5+ years exp

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CommunitiesFood and Beverage

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Responsibilities

Analyze large and complex datasets to extract meaningful insights that drive product decisions

Design, develop, and implement machine learning models, including generative AI models, to enhance our platform's capabilities

Work closely with product managers, engineers, and designers to integrate machine learning solutions into consumer-facing products

Continuously refine models for improved performance, scalability, and cost-effectiveness

Create clear and compelling visualizations to communicate findings to stakeholders

Keep abreast of the latest developments in AI and data science to ensure our technologies remain cutting-edge

Take responsibility for the quality and timely delivery of data projects, acting as an owner throughout the process

Qualification

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Data ScienceMachine LearningGenerative AIPythonRPandasNumPyScikit-learnTensorFlowPyTorchSQLStatistical MethodsModel DeploymentData VisualizationMaster's

Required

5+ years of experience in data science, with a strong focus on machine learning and applied AI

Proficient in programming languages such as Python and R, and experienced with data science libraries like Pandas, NumPy, and scikit-learn

Hands-on experience with generative AI models (e.g., transformers, GANs) and deep learning frameworks like TensorFlow or PyTorch

Strong skills in SQL and experience working with large-scale databases

Solid understanding of statistical methods and their application in real-world scenarios

Experience deploying and optimizing machine learning models in production environments, with attention to scalability, reliability, and cost-efficiency

Excellent verbal and written communication skills, capable of distilling complex data into actionable insights

Proven ability to work effectively in a team environment, valuing empathy and collaboration

Demonstrated bias for action with the ability to drive projects independently

Ability to navigate ambiguous situations and develop innovative solutions

Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field