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Peakflo (YC W22) Logo

Machine Learning (ML) Engineer Intern - (India/Remote)

Peakflo (YC W22)

Salary not specified
Aug 1, 2025
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Peakflo is looking to solve the problem of resource-intensive customer collections and vendor payment processes for high-growth SMBs and startups in SE Asia, by streamlining their invoice-to-cash and procure-to-pay processes.

Requirements

  • Machine learning
  • Python
  • Deep Learning
  • Natural Language Processing
  • Extensive experience in Python programming
  • 0.5 - 2 years of industry experience with Machine Learning, Statistics and / or LLM fine-tuning and prompt engineering
  • Experience with leading LLMs (e.g., Google's Gemini, OpenAI's GPT series, Anthropic's Claude)

Responsibilities

  • Craft voice‑optimized prompt flows: Design conversational flows that account for natural speech patterns—pauses, interruptions, intonation—with goal‑oriented multi‑turn dialogue optimized for voice-only interactions.
  • Implement agentic architecture and hierarchical workflows: Build finance AI agents that coordinate sub‑agents—for example, a Research Agent to fetch financial data, a Finance Agent to analyze transactions, and an Editor Agent to craft reports.
  • Continuous prompt refinement & iteration: Use LLM feedback loops or 'self‑reflection' to score outputs, detect hallucinations, and improve prompts over time.
  • Grounding & retrieval true‑fact enhancement: Integrate RAG (retrieval-augmented generation) with enterprise knowledge bases or financial APIs to avoid misinformation or drift—especially for task‑sensitive use cases like invoicing or AR follow-ups.
  • Voice integration & prompt‑tech stack collaboration: Collaborate closely with engineering teams to integrate prompts with speech recognition, intent extraction, LiveKit voice infrastructure, and telephony APIs.
  • AI Solution Development - Develop and optimize complementary AI components such as advanced customizable OCR models, intelligent chatbots, and automated approval systems to support financial workflows.
  • Maintain a strong understanding of and stay current with the latest advancements, research, and best practices in large language model (LLM) technologies and AI to drive continuous innovation.

Other

  • Bachelor's or Master's degree in Statistics, Machine Learning, Data Science, or a related field
  • Excellent written and verbal communication skills in English
  • US citizenship/visa not required
  • Internship position