Lead Machine Learning Engineer (AdTech)

Location: New York, US; based in the New York office

Base salary: $240,000–$260,000 per year, plus bonus and equity.

Company

hirify.global operates a global Native Search advertising marketplace integrated with web browsers, Buy Now Pay Later apps, and AI chat surfaces, using vector search to connect consumers with brands, products, and offers.

What you will do

• Manage the end-to-end lifecycle of AI/ML projects, from data acquisition and prototyping through deployment, optimization, monitoring, and maintenance.
• Build and champion MLOps practices covering data collection, training pipelines, model deployment, monitoring, alerting, and QA.
• Make model architecture decisions using machine learning, deep learning, and reinforcement learning techniques.
• Develop feature engineering pipelines and ML services optimized for low latency and high throughput.
• Build A/B testing and experimentation frameworks, translate research papers into production code, and improve model performance.
• Collaborate across product, business, and engineering teams while mentoring junior engineers and driving engineering excellence.

Requirements

• PhD with 5+ years of experience, or MS with 5–8+ years of industry experience, developing and deploying production-grade AI/ML systems.
• 2+ years of experience building AI/ML models in at least one of: advertising, relevance, ranking, recommendation systems, or search.
• 3+ years of experience building distributed, low-latency, high-throughput batch and online ML services.
• 3+ years of experience deploying and maintaining production ML pipelines, including feature engineering and model monitoring frameworks.
• 2+ years of Python experience and proficiency with distributed frameworks such as Spark and Hadoop, SQL, and cloud infrastructure.
• 2+ years of experience with TensorFlow or PyTorch, scikit-learn, and Spark ML.
• Ability to work effectively in a fast-paced, multifunctional, rapidly changing environment.

Nice to have

• 5+ years of experience building ML models for advertising, search, or recommender systems, including CTR/CVR prediction, ad selection, keyword bidding, or Learning to Rank.
• 2+ years of experience building and deploying online experimentation frameworks at scale.
• 2+ years of experience building ad selection frameworks using reinforcement learning or contextual bandits.
• Experience fine-tuning LLMs.
• 1+ years of experience building products with Generative AI-powered autonomous agents.

Culture & Benefits

• Collaborative culture based on Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness.
• Continuing education, management training, company-wide lunch-and-learns, and defined career paths.
• Healthcare, wellness programs, paid time off, commuter benefits, and 401(k) matching.
• Summer Fridays, catered lunches, stocked kitchen, sports teams, happy hours, and corporate retreats.

Hiring process

• No third-party recruiters or unsolicited agency resumes are accepted.