Full-Time Sr. Applied Machine Learning Engineer

We’re on a mission to democratize AI by building the definitive AI data development platform.

As an Applied Machine Learning Engineer, you’ll research and utilize established and state-of-the-art machine learning (ML) techniques to successfully deliver solutions to our customers.

You’ll engage new ML use cases through hands-on customer problems and help generalize learnings into the core Snorkel Flow platform.

Main Responsibilities:

• Assist customers with the delivery of a Machine Learning project from beginning to end, including business case definition and scoping, data aggregation and exploration, algorithm selection, and model deployment to deliver business impact to the organization
• Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials
• Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more
• Serve as the voice of our customers for new ML paradigms, data science workflows, and share customer feedback to product teams

Preferred Qualifications:

• 7+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field
• 1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services
• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Transformers, Scikit-learn, NumPy, Pandas), and an obsession with thorough ML evaluation
• Experience building and maintaining large scale, production data pipelines for machine learning applications
• Ability to work in a fast-paced environment and strong technical communication skills

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