Machine Learning Engineer II (AI)

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

Salary: $145,000–$175,000/year base salary plus bonus and equity

Company

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

What you will do

• Manage the full AI/ML project lifecycle from data acquisition and prototyping through deployment, optimization, and maintenance.
• Build MLOps capabilities covering data collection, training pipelines, deployments, 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 experimentation and A/B testing frameworks to improve model performance.
• Design and maintain reliable, scalable production systems and microservices supporting AI/ML applications.

Requirements

• 3+ years of industry experience developing and deploying production-grade AI/ML systems.
• 2+ years building AI/ML models in ads, relevance, ranking, recommendation systems, or search.
• 3+ years building distributed, low-latency, high-throughput batch and online ML services.
• 3+ years deploying and maintaining production ML pipelines, including feature engineering and model monitoring frameworks.
• 2+ years of Python experience plus proficiency with Spark, Hadoop, SQL, and cloud infrastructure.
• 2+ years working with TensorFlow or PyTorch, scikit-learn, and Spark ML.
• Ability to work effectively in a fast-paced, multifunctional, rapidly evolving environment.

Nice to have

• 3+ years building models for ads, search, or recommender systems, including CTR/CVR prediction, ad selection, keyword bidding, or Learning to Rank.
• 2+ years building and deploying online experimentation frameworks at scale.
• 2+ years building ad-selection frameworks with reinforcement learning or contextual bandits.
• Experience fine-tuning LLMs.
• 1+ year 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.
• Comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401(k) matching.
• Summer Fridays, catered lunches, stocked kitchen, social teams, happy hours, and corporate retreats.
• Employment in the New York office; no third-party recruiters or unsolicited agency resumes.