Pear VC
AI / ML Engineer - Known
About this role
The AI/ML Engineer role at Known involves leading the development of machine learning systems for a compatibility-driven dating platform, where you'll design personalized matching algorithms and natural language interactions. This hands-on position requires collaboration with the founding team to establish data and ML foundations that enrich user experiences.
What you'll do
- Design multi-stage matching systems for compatibility scoring and personalization
- Develop ML pipelines for data ingestion and model training
- Prototype and productionize workflows for natural-language interactions
- Deploy and monitor ML models with performance safeguards
- Run experiments to assess engagement and match success
- Collaborate with engineers and designers to integrate AI effectively
What they're looking for
- 3+ years in applied ML or data science roles
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow)
- Experience with LLMs and embeddings
- Knowledge of A/B testing methodologies
- Familiarity with ANN search systems
- Understanding of MLOps tools
- Interest in safe and fair AI development
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Pear VC
Pear VC invests in and supports AI-driven enterprise software companies building automation platforms, compliance systems, and specialized tools across industries like financial services, insurance, and software development. The portfolio companies are hiring founding and senior engineers to design core infrastructure, build AI systems, and develop scalable backend platforms alongside their leadership teams.
View all jobs at Pear VCLikely interview questions
- Walk us through a recommendation or matching system you've built end-to-end—how did you approach retrieval, ranking, and online evaluation?
- Describe your experience with LLMs and embeddings. Have you deployed agentic workflows or conversational systems in production?