Applied ML Engineer: Personalization & Content Discovery

Kindredventures; Palo Alto (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Pantera Capital is seeking an Applied ML Engineer to design, build, and iterate on advanced AI models that drive personalization and content discovery. You will leverage your extensive machine learning experience to solve key challenges and collaborate with cross-functional teams. Ideal candidates have 5+ years of impactful ML/AI model development, strong software engineering skills, and a deep understanding of emerging technologies. This role is hybrid based in Palo Alto, California, and offers an innovative work environment.

Qualifications

• 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products.
• Deep expertise in deep learning, LLMs, information retrieval, content summarization, recommendation systems, and ranking.
• Strong software engineering skills and collaborative development experience.

Responsibilities

• Apply ML and LLM techniques for personalization, query understanding, and content discovery.
• Evaluate models with both offline and online techniques, designing experiments.
• Own the model lifecycle from research to production, including A/B testing.

Skills

Machine Learning

Artificial Intelligence

Deep Learning

Python

NLP

Software Engineering

Education

BS, MS, or PhD in Computer Science, Engineering, or related field

Tools

PyTorch

TensorFlow

JAX

Job description

Pantera Capital is seeking an Applied ML Engineer to design, build, and iterate on advanced AI models that drive personalization and content discovery. You will leverage your extensive machine learning experience to solve key challenges and collaborate with cross-functional teams. Ideal candidates have 5+ years of impactful ML/AI model development, strong software engineering skills, and a deep understanding of emerging technologies. This role is hybrid based in Palo Alto, California, and offers an innovative work environment.