ML Engineer Intern (Summer 2026)

What You'll Be Doing

• Research and develop machine learning models to process and enrich real-time B2B data
• Build retrieval systems, classifiers, and embedding models to handle multilingual, web-scale data
• Work on complex problems such as entity resolution, job title mapping, and technology detection
• Collaborate with the founding team to advance the research and engineering behind the core intelligence layer

Requirements

• Currently pursuing a Master's or PhD in Computer Science, Machine Learning, NLP, or a related field
• Strong fundamentals in NLP, information retrieval, or entity resolution
• Familiar with transformer architectures and have experience training or fine-tuning encoder models
• Experience building retrieval systems, classifiers, or embedding models
• Exposure to contrastive learning, metric learning, or representation learning
• Have used large language models (LLMs) for structured extraction, classification, or data generation
• Strong Python and PyTorch skills

Qualifications

• Previous experience with entity resolution or record linkage at scale
• Background in multilingual NLP or cross-lingual transfer
• Open-source contributions in NLP/IR
• Experience with distributed training on GPU clusters

Benefits

• $8,000–$14,000/month (above market rate for SF internships)
• Housing stipend for those relocating to San Francisco
• Direct mentorship from the founding team
• Your work ships to production and reaches real customers
• 30 min video call with the CEO
• 45 min technical deep-dive (ML systems design + paper discussion)
• Paid work trial on a real problem (~1-2 weeks)

Pay & Schedule

• $8,000–$14,000/month
• 12-week summer internship (June–August 2026)