Senior Machine Learning Engineer (AdTech)

Location: United States — New York; hybrid work environment, with candidates local to the posting location required

Company

hirify.global provides mobile advertising and consumer experience technology connecting telecoms, OEMs, advertisers, publishers, and users.

What you will do

• Design, build, and deploy large-scale ML systems for ad ranking, click-through and conversion prediction, bid optimization, and next-best-action recommendations.
• Build and operate production ML pipelines covering feature engineering, distributed training, deployment, retraining, and monitoring.
• Develop real-time decisioning solutions using device-level data and features from across the product portfolio.
• Optimize distributed training and inference for CPU/GPU utilization, latency, and cost while processing billions of events.
• Partner with Data Science, Data Engineering, and product teams to ship models and run online experiments that improve business metrics.
• Apply current ML research to advertising, ranking, and audience modeling.

Requirements

• 8+ years of experience building and deploying production ML systems at scale, ideally in AdTech, recommender systems, search/ranking, or real-time bidding.
• Strong software engineering fundamentals in data structures, algorithms, and system design, with proficiency in Python.
• Hands-on experience with PyTorch, TensorFlow, or JAX and distributed systems such as Spark, Beam/Dataflow, or Flink.
• Experience with feature stores, data versioning, model monitoring, and automated retraining.
• Demonstrated success shipping models that improved product or business metrics such as CTR, CVR, or ROAS.
• Master’s or Ph.D. in computer science, machine learning, or a related field, or equivalent practical experience.

Nice to have

• Experience with real-time, low-latency model serving and online learning.
• Familiarity with Databricks, Unity Catalog, semantic layers, or feature platforms.
• Experience applying LLMs and agentic systems to audience insight or optimization.
• Experience with Java, Scala, or C++.

Culture & Benefits

• Work in a hybrid environment from the New York posting location.
• Collaborate across data science, data engineering, product, and advertising teams.
• Contribute to an AI-first transformation centered on a unified, first-party device-level data platform.
• Join an international company with offices in the United States, United Kingdom, Germany, Singapore, Israel, and other locations.
• Work in an environment focused on diversity, inclusion, and equitable collaboration.