Machine Learning Engineer
Mountain View · USD 227,000-277,000 · 3+ years experience · Hybrid · Posted Oct 1, 2026
At a glance
- Experience
- 3+ years experience
- Workplace
- Hybrid
- Location
- Mountain View
- Salary
- USD 227,000-277,000 · Base salary
About EarnIn
- As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
- We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
About the role
- EarnIn is looking for a Machine Learning Engineer to build the next generation of AI-powered experiences that help millions of people access their pay and improve their financial well-being.
- This role involves building high-quality systems and agent-driven GenAI workflows while taking significant ownership in a fast-moving culture.
Responsibilities
- Build and ship agent-driven chatbot and GenAI workflows that deliver real customer impact.
- Own meaningful features end-to-end, from definition through design, all the way to implementation, evaluation, and impact measurement.
- Work hands-on with modern AI development tools (e.g., Cursor, Codex, Claude-style assistants).
- Collaborate with product, ML, and engineering teams in a fast-moving, ownership-driven culture.
- Continuously explore better ways to design, iterate, and improve how we build with AI.
Requirements
- 3+ years of experience in software engineering
- A bachelor's, or equivalent industry experience
- A strong foundation in software engineering and thoughtful system design.
- Experience writing code that is reliable, durable, and easily maintained.
- Experience in proactively identifying problems, learn quickly, and taking the initiative.
- Curiosity and a growth mindset with a focus on and experience stretching beyond what you already know.
- Excitement about GenAI, agents, and the future of AI-assisted software development.
Preferred qualifications
- Hands-on experience with GenAI, agents, and the future of AI-assisted software development.
- Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs).
Benefits
- equity
- benefits
Workplace
- This is a hybrid position in Mountain View, requiring in-office work 2 days a week.
Skills
- Cursor
- Codex
- Claude-style Assistants
- Copilot
- LLMs
- GenAI