TL;DR

Senior Machine Learning Engineer (AI): Building and deploying ML models for domain search including ranking, personalization, and generative domain name creation with an accent on integrating large language models and scalable search infrastructure. Focus on designing ranking algorithms, personalization approaches, and ensuring search quality at scale through robust evaluation and experimentation.

Location: New York City, hybrid work format

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

Company

%hirify_global% is a design-driven platform empowering millions of customers worldwide to build brands and businesses online with a suite of products including websites, domains, ecommerce, and marketing tools.

What you will do

Design, build, and deploy ML models for domain search, including ranking, personalization, and generative domain name creation.
Integrate and fine-tune large language models and hybrid ML systems for contextual and internationalized domain suggestions.
Develop and evaluate ranking algorithms optimizing for relevance, uniqueness, brandability, and business goals.
Implement personalization using user, account, and demographic data to tailor search results.
Collaborate with cross-functional teams to translate product ideas into scalable ML solutions.
Own end-to-end ML lifecycle including feature engineering, training, deployment, monitoring, and iterative improvement.

Requirements

Location: Must be able to work in New York City (hybrid)
6+ years of machine learning engineering experience with at least 2 years at senior/lead level.
Strong background in search, ranking systems, or recommendation engines.
Experience with NLP, large language models, and ML frameworks like TensorFlow and PyTorch.
Proficiency in Python, Spark, SQL, and deploying ML models at scale.
Familiarity with A/B testing and online experimentation methodologies.

Culture & Benefits

Medical plans with option for 100% covered premiums.
Fertility, adoption, and family care benefits.
Flexible paid time off and 12 weeks paid parental leave.
Retirement benefits with employer match.
Education reimbursement and employee donation match.
Dog-friendly workplace, free lunch and snacks, private rooftop, and hack weeks twice per year.