AI/ML Engineer

About the role

We're looking for a senior or staff AI/ML Engineer to design and ship production-grade AI features that transform how companies hire. You'll be one of the first AI/ML engineers at Gem, shaping both the technology and how we build.

Responsibilities

• Build multi-step reasoning systems that understand nuanced recruiter queries like 'senior ML engineers who've worked at YC companies and know PyTorch'
• Develop intelligent search that understands recruiter intent and surfaces the right candidates instantly
• Ship rapidly and iterate by moving from prototype to production, measuring performance, and refining based on live product data and user feedback
• Collaborate closely with product managers, designers, and engineers in our SF office to create cohesive AI-driven experiences
• Share ML expertise with teammates and help establish best practices for model development and evaluation

Requirements

• Core technical skills: Experience applying AI/ML in production environments, especially with LLMs
• Hands-on knowledge of retrieval and search systems, including query understanding, ranking, and relevance optimization
• Familiarity with vector databases and embedding models for AI applications
• Understanding of retrieval architectures and their implementation
• Pragmatic approach to AI. You find the right balance between cutting-edge techniques and scalable, maintainable solutions

How You Work

• Problem-solving: You approach problems holistically, starting with clear understanding of context. You navigate ambiguity well, decompose complex problems into clean solutions, and think critically about real-world impact
• Shipping quality products: You partner closely with product and design to craft experiences that feel effortless. You understand the balance between craft, speed, and business impact
• Communication and collaboration: You explain technical concepts clearly to both engineers and non-technical stakeholders. You engage thoughtfully in disagreements and compromise when needed
• Velocity and ownership: You're excited by quick experimentation and continuous improvement. You take pride in shipping features from start to finish
• User focus: You care about business impact and prioritize accordingly. You think critically about how your work shapes real people's daily workflows