
Senior Backend Software Engineer (Machine Learning Training & Serving)
Affirm
New York, NY • 16m ago • On-site
Senior
On-site
195,000 - 225,000 USD/yr
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Potential salary for Senior Backend Software Engineer (Machine Learning Training & Serving) role
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$195,000 – $225,000/year
Quick Facts
Role: Senior Backend Software Engineer (Machine Learning Training & Serving)
Focus: Infrastructure for ML training and model serving
Work style: Remote-first with flexibility
Description
Own and deliver backend systems that enable machine learning models to be trained and served at scale. Lead through ambiguity, collaborate with product, design & analytics, and drive reliability through metrics, escalation, and quality standards.
Responsibilities
Own quarterly team goals and guide engineers through open-ended problems
Collaborate in the product development lifecycle by articulating technical constraints, risks, and trade-offs
Proactively identify project, process, technology, or business issues and lead solutions
Ensure operational availability of team artifacts using metrics, escalation, and on-call support
Set or improve code review and design standards; advocate for them beyond the team
Provide feedback and guidance to develop talent; lead by example
Requirements
4+ years of experience designing, developing, and launching backend systems at scale using Python or Kotlin
Experience building highly available distributed systems using AWS, MySQL, and Kubernetes
Ability to define a technical delivery plan for significant features/components with elegant, simple, extensible design
Ability to make significant changes in large codebases using safe tools and practices
Ownership and growth mindset supported by proactive feedback-seeking
Strong verbal and written communication for effective collaboration with a global engineering team
Bachelor’s degree in a related field or equivalent practical experience
Experience training and deploying production ML models (nice to have)
Benefits
Health coverage at no cost: 100% subsidized medical coverage for employees and dependents
Dental and vision coverage
Monthly stipends for tech setup and health/wellness options
Flexible time off and generous holiday calendar
Employee Stock Purchase Plan (ESPP) to buy stock at a discount
Inclusive interview process with accommodations for candidates with disabilities
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