Senior/Staff Machine Learning Engineer

Moonhub is building the world's first AI recruiter. Moonhub powers the world's fastest-growing organizations by helping hire and place talent with our AI recruiter trained on billions of people datapoints. Our AI works in conjunction with human experts to deliver end-to-end recruiting and rapid feedback loops, while allowing hiring managers and organizations to personalization and control into their hiring process.

Core to our solution are large language models and conversational AI features that power our AI recruiter. Our team consists of ex Stanford Computer Science PhDs and MBAs, highly cited NLP researchers on ground-breaking papers like Bloom / Superglue / etc, papers, ex Twitter Cortex and Meta ML leads and more world-class AI and HR experts.

This is a fast-paced role with extensive growth potential for a world-class ML engineer to tackle our hardest ML challenges in a startup environment. You will be on the core ML team and work closely with our leadership, partners, and customers to build tools used by people to automate recruiting. We are a company driven by our positive mission and social impact.

For this role, we are looking for individuals with broad and deep ML knowledge and has industry experience building ML systems that have shipped to production. On any given day, you may be working on end to end delivery of new ML features alongside product and full-stack engineering, refactoring our current ML tooling layer to support new product needs, or curating eval sets.

How we approach ML at Moonhub: At Moonhub, you will have a front row seat in redefining what work looks like with AI, starting with recruiting. We believe in drawing from wisdom from ML research and industry through keeping up with papers and the latest frameworks. While we are product-focused, we believe in grounding ML feature development with evals and feedback loops, and allocating time to experiment with new techniques.

-Tackle our hardest ML product challenges at the crux of unlocking truly agentic flows in recruiting, from prototyping and experimentation with LLMs and self-hosted models alike to incorporating and maintaining them in existing and new ML systems.

-Help shape our technical MLOps stack to meet our ML and product needs.

-Write production ready code with speed, cost, and usability in mind.

-Stay close to the ground and hands on keyboard. No task is too small, whether it’s fixing unit tests or curating datasets. 

-A Masters in ML (or equivalent domain experience) and 4+ years of work experience building ML systems directly powering customer experiences, or equivalent ML experience.

-Extensive experience building complex machine learning systems and have driven execution from ideation to production implementation

-You can take a high-level goal and achieve a shippable solution. You are able to draw from a toolkit of methods, and know when to prompt engineer with black box LLMs and when to finetune a custom model.

-Strong product sense. You are passionate about applications that are driven by user feedback and end user experiences.

- The minimum and maximum salary for this position is $120,000 to $200,000 in the US;

- This position is eligible for significant equity

- This role is eligible for benefits including 100% covered premium health + dental insurance, company offsite trips, work-from-home stipend, 401k, and more.