TL;DR

Founding Machine Learning Engineer (AI): Building the next generation of intelligent search experiences for domains, leveraging large language models and scalable ranking/personalization systems. Focus on designing, building, and deploying hybrid search systems balancing relevance, latency, and scale, and leading technical direction in retrieval or ranking.

Location: New York City headquarters (Hybrid)

Salary: $128,500 - $236,500 USD

Company

%hirify_global% is a design-driven platform helping entrepreneurs build brands and businesses online, offering tools for websites, domains, e-commerce, and marketing.

What you will do

Own key parts of retrieval or ranking scope as a founding Machine Learning Engineer.
Design, build, and deploy hybrid search systems (classical ML + genAI + rule-based) for generative domain name search.
Lead technical direction in retrieval (index design, query parsing, retrieval strategies) or ranking (learning-to-rank, multi-objective optimization).
Lead embedding model selection, post-training optimization, and evaluation for semantic retrieval and ranking features.
Collaborate with engineers, data scientists, and product managers to translate ambiguous product ideas into technical approaches.

Requirements

5+ years of professional experience in machine learning engineering, with at least 2 years focused on search, retrieval, ranking, or recommendation systems.
Experience building production search or ranking systems end-to-end, including standing up new systems or leading architectural shifts.
Depth in two or more of: retrieval (indexing, vector search), ranking (learning-to-rank, multi-objective optimization), or embeddings.
Comfort owning strategy to help shape the roadmap while building high-quality technical solutions.
Strong architectural judgment, with an ability to evaluate tradeoffs and communicate decisions clearly.
Proven ability deploying and operating ML systems at scale, ensuring reliability, performance, and quality under high traffic volumes.

Nice to have

LLM integration experience.

Culture & Benefits

Choice between medical plans with an option for 100% covered premiums, fertility, and adoption benefits.
Access to supplemental insurance plans and a Headspace mindfulness app subscription.
Retirement benefits with employer match.
Flexible paid time off, 12 weeks paid parental leave, and family care leave.
Education reimbursement and employee donation match to community organizations.
Dog-friendly workplace with free lunch, snacks, a private rooftop, and hack week twice per year.