Machine Learning Engineer Intern
Peakflo (YC W22)
Job Overview
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Job Description
About Peakflo
Finance operations at high-growth SMBs and startups often face resource-intensive customer collections and vendor payment processes. Peakflo simplifies these with a simple API and one-click accounting software integrations.
Current benefits include saving 2000 man-hours per month, getting paid 15-25 days faster, and cutting vendor bill payment time by 50%.
What We’re Building
At Peakflo, we are building finance AI solutions to streamline financial workflows for early-stage startups to unicorns in SE Asia. Our platform integrates advanced AI to improve invoice processing and vendor management.
Role: Machine Learning Engineer Intern
The Machine Learning Engineer Intern will develop and implement ML solutions, including:
- Designing voice-optimized prompt flows for natural speech interactions
- Implementing agentic architectures and hierarchical workflows for finance AI agents
- Continuous prompt refinement using LLM feedback loops
- Setting up A/B testing pipelines and performance QA for financial use cases
- Optimizing LLM systems including Google Gemini, OpenAI GPT, and Anthropic Claude
- Integrating RAG with financial data sources and APIs
- Collaborating with engineering teams on voice integration and ML product deployment
- Developing complementary AI solutions like OCR models and chatbots
Who We’re Looking For
Candidates should have a Bachelor’s or Master’s degree in Statistics, Machine Learning, Data Science or a related field, with 0.5 - 2 years of industry experience. Required skills include excellent communication, extensive Python programming, cloud platform proficiency (Google Cloud), and demonstrated expertise in ML production systems.
Preferred Qualifications
Candidates with multiple LLM platform experience, NLP familiarity, and robust knowledge of software engineering best practices will be highly considered.
Benefits
- Competitive stipend
- Performance-based conversion to full-time
- Comprehensive benefits package (post conversion)
- Growth and skill development opportunities
- Collaborative, innovative, and flexible work environment with remote options
Key skills/competency
- Machine Learning
- Python
- LLM
- Voice Integration
- NLP
- Cloud Platforms
- API Integration
- Prompt Engineering
- Data Analysis
- Software Engineering
How to Get Hired at Peakflo (YC W22)
- Customize your resume: Highlight Python and ML project experience.
- Research Peakflo: Understand their AI finance and API integrations.
- Emphasize prompt engineering: Detail experience with LLMs.
- Prepare practical examples: Showcase voice and NLP projects.
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