Peakflo is hiring Machine Learning Engineer Intern | Remote | 50k/month

Role Overview:
As a Machine Learning (ML) Engineer Intern, you will design and optimize AI-driven finance solutions, develop LLM-powered workflows, and integrate advanced voice and RAG capabilities to enhance product performance. You will work closely with engineering teams to ensure low-latency, high-accuracy financial AI interactions while continuously refining prompt and model performance.

Key Responsibilities:

• Design conversational flows optimized for voice, considering speech patterns, pauses, and pronunciation clarity
• Build finance AI agents with agentic architectures and hierarchical workflows
• Implement continuous prompt refinement, A/B testing, and performance QA for financial AI use cases
• Fine-tune and optimize LLMs (e.g., Google Gemini, OpenAI GPT, Anthropic Claude) for finance operations
• Integrate retrieval-augmented generation (RAG) with financial APIs and enterprise knowledge bases
• Collaborate on voice integration with speech recognition, intent extraction, LiveKit, and telephony APIs
• Architect LLM systems with third-party tool integrations for email and chat interfaces
• Develop complementary AI components like OCR models, intelligent chatbots, and automated approval systems
• Stay up to date with LLM and AI research and best practices

Education Requirement: Bachelor’s or Master’s degree in Statistics, Machine Learning, Data Science, or related field

Experience Required: 0.5 – 2 years in Machine Learning, Statistics, LLM fine-tuning, or prompt engineering

Skills Required: Python, Google Cloud, Python back-end development, LLM fine-tuning, prompt engineering, natural language processing, NLP libraries, RAG integration, speech recognition, intent extraction, OCR, chatbot development, version control (Git), AI system optimization

Benefits:

• Competitive stipend
• Performance-based conversion to full-time role
• Benefits package upon full-time conversion
• Career growth and skill development opportunities
• Collaborative and innovative work environment
• Flexible hours and remote work

Why Join Us:
Join a fast-growing startup that is transforming financial operations for businesses across Asia. You will work on cutting-edge AI technologies, gain hands-on experience with industry-leading tools, and be part of a collaborative environment where your contributions directly impact real-world products.