Staff ML Engineer (AI Agent Lead)
Remote
Full Time Senior-level / Expert USD 150K - 200K
Moonhub
Moonhub: Revolutionizing the future of work with AI agents for recruiting. Discover Stella, your AI sourcing partner designed to simplify and streamline recruiting.
About Moonhub
We're on a mission to enable human potential.
Moonhub is building the AI for global talent. Moonhub powers the world's fastest-growing organizations with AI agents that source, engage, and hire talent at scale.
Core to our solution are large language models and AI agents that power hiring teams, engaging millions of candidates a month. 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 Figma, Meta, etc and more world-class engineers and industry leaders.
Your Role
This is a fast-paced role with extensive growth potential for a world-class ML leader to build a team tackling the hardest ML challenges in a startup environment. You will lead our core ML team, ship product yourself, and work closely with our leadership, partners, and customers architect our AI roadmap.
For this role, you must have extensive experience building production AI products. 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 shaping our company AI strategy.
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 to build world-class products.
What You’ll Do
- Build ML products and solve challenges that unlock truly agentic flows in recruiting, from prototyping and experimentation with LLMs and self-hosted models to incorporating and maintaining 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.
Skills & Qualifications -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.-Deep understanding of the rapidly evolving AI world and ability to architect AI and product vision -Extensive experience building complex machine learning systems. -Ability to take a high-level goal and achieve a shippable solution. -Strong product sense.
US Applicants
- The minimum and maximum salary for this position is $150,000 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.
Moonhub is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.
We're on a mission to enable human potential.
Moonhub is building the AI for global talent. Moonhub powers the world's fastest-growing organizations with AI agents that source, engage, and hire talent at scale.
Core to our solution are large language models and AI agents that power hiring teams, engaging millions of candidates a month. 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 Figma, Meta, etc and more world-class engineers and industry leaders.
Your Role
This is a fast-paced role with extensive growth potential for a world-class ML leader to build a team tackling the hardest ML challenges in a startup environment. You will lead our core ML team, ship product yourself, and work closely with our leadership, partners, and customers architect our AI roadmap.
For this role, you must have extensive experience building production AI products. 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 shaping our company AI strategy.
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 to build world-class products.
What You’ll Do
- Build ML products and solve challenges that unlock truly agentic flows in recruiting, from prototyping and experimentation with LLMs and self-hosted models to incorporating and maintaining 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.
Skills & Qualifications -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.-Deep understanding of the rapidly evolving AI world and ability to architect AI and product vision -Extensive experience building complex machine learning systems. -Ability to take a high-level goal and achieve a shippable solution. -Strong product sense.
US Applicants
- The minimum and maximum salary for this position is $150,000 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.
Moonhub is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.
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Tags: AI strategy Computer Science Core ML Engineering LLMs Machine Learning MLOps NLP Prototyping Research
Perks/benefits: Career development Equity / stock options Health care Home office stipend Insurance Startup environment
Region:
Remote/Anywhere
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