![Red Cell Partners Logo](https://cdn.jobscollider.com/logo/red-cell-partners-aa12.webp)
Senior Applied Machine Learning Engineer
![Snorkel AI Logo](https://cdn.jobscollider.com/logo/snorkel-ai-7742.webp)
Snorkel AI
Summary
Join Snorkel AI, a company democratizing AI, as an Applied Machine Learning Engineer. You will research and apply machine learning techniques to deliver solutions to customers, engaging with new use cases and contributing to the Snorkel Flow platform. This role involves collaborating with customers throughout the entire project lifecycle, from initial scoping to model deployment. You will present findings to stakeholders and provide customer feedback to product teams. The ideal candidate possesses extensive experience in machine learning and working with customers, along with expertise in various ML frameworks and technologies. Snorkel AI offers a competitive salary, equity compensation, and comprehensive benefits.
Requirements
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
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
- 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
Benefits
- Comprehensive medical, dental, and vision plans for Snorkelers and their families
- A yearly wellness stipend
- 401k program
- Parental leave program lets new parents take up to 20 weeks of paid time off
- Workstation setup allowance
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