Applied ML Engineer working on AI - driven insights at Kaseya. Collaborating with product teams to enhance features with machine learning and data analysis.
About the role
- Manager, Machine Learning Engineering at Affirm leading ML projects and mentoring engineers. Designing and implementing advanced ML solutions to drive decisioning and optimize applications.
Responsibilities
- Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects.
- Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes.
- Collaborate across teams in the product development lifecycle by partnering with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
- Develop talent by providing feedback and guidance, and leading by example.
Requirements
- Bachelors in a technical field with 8+ years of industry experience, including 3+ years managing engineers
- Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML.
- Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture
- You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
- This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Benefits
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
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