Staff ML Engineer at Moonhub

At Moonhub, we are on a mission to unlock human potential by building the AI for global talent. We provide the world's fastest-growing organizations with intelligent agents that source, engage, and hire candidates at scale. Our platform leverages large language models to assist hiring teams in connecting with millions of people every month. Our team is composed of world-class engineers and industry leaders, including former Stanford PhDs and researchers who have contributed to landmark projects like Bloom and Superglue. We are looking for someone who shares our passion for redefining the future of work through artificial intelligence.

What is this role?

We are seeking a Staff ML Engineer to join us in a full-time, remote capacity. This is a lead-level position designed for an experienced professional who wants to tackle complex machine learning challenges in a fast-paced startup environment. You will have the opportunity to lead our core ML team, work directly with our leadership and customers, and play a pivotal role in architecting our technical roadmap.

What will you do?

• Develop and deploy machine learning products that enable agentic workflows in recruiting, ranging from initial prototyping with LLMs to maintaining robust production systems.
• Refine and evolve our technical MLOps stack to ensure it meets our growing product requirements and performance needs.
• Write high-quality, production-ready code while balancing speed, cost, and usability, staying hands-on with everything from dataset curation to system architecture.

What makes you a great fit?

To be successful in this role, you should have a strong background in engineering and machine learning. We are looking for the following qualifications:

• A Master’s degree in Machine Learning or equivalent domain expertise, combined with at least four years of experience building ML systems that directly power customer-facing products.
• A deep understanding of the rapidly evolving AI landscape and the ability to translate high-level goals into shippable, effective solutions.
• Strong product sense and extensive experience managing complex machine learning architectures.
• Fluency in English and the ability to collaborate effectively within a remote, distributed team.

What's in it for you?

We offer a competitive compensation package and a supportive environment designed to help you thrive. The salary range for this position is $150,000 to $200,000+ for applicants based in the United States.

In addition to your salary, you will receive:

• Significant equity compensation.
• Comprehensive medical and dental insurance with 100% of premiums covered.
• Access to a 401k retirement plan.
• The flexibility of a remote work environment.