Machine Learning Engineer II

Machine Learning Engineer II at adMarketplace in New York, NY (onsite) focuses on building and optimizing advanced AI/ML models for ultra-low-latency ad-serving and consumer-facing search.

Responsibilities

• Own the end-to-end AI/ML lifecycle: concept and data acquisition, prototyping, model development, deployment, optimization, and ongoing maintenance.
• Implement and champion MLOps best practices across data collection, training pipelines, deployments, monitoring, alerting, and QA for reliability and performance.
• Participate in model architecture decisions using state-of-the-art techniques across machine learning, deep learning, and reinforcement learning.
• Build feature engineering pipelines and ML services designed for low latency and high throughput.
• Design, build, and use A/B testing and experimentation frameworks to iteratively improve model performance.
• Create and maintain production software systems and microservices for AI/ML applications with emphasis on reliability, scalability, low latency, and high throughput.
• Communicate effectively and collaborate across the organization to build long-term relationships.

Requirements

• 3+ years of industry experience in AI/ML, developing and deploying production-grade ML systems.
• 2+ years building AI/ML models in at least one domain: 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 ML pipelines in production, including feature engineering and model monitoring frameworks.
• 2+ years with Python, distributed frameworks (Spark, Hadoop), SQL, and cloud infrastructure.
• 2+ years with ML packages such as Tensorflow or PyTorch, scikit-learn, and Spark ML.
• Ability to operate efficiently in a high-paced, multi-functional, rapidly evolving environment.

Technologies

• Python
• Spark
• Hadoop
• SQL
• Cloud infrastructure
• Tensorflow
• PyTorch
• scikit-learn
• Spark ML
• Microservices

Preferred Qualifications

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

Benefits

• Comprehensive healthcare
• Wellness programs
• Paid time off
• Commuter benefits
• 401k matching
• Summer Fridays
• Catered lunches
• A fully stocked kitchen
• ZogSports teams
• Happy hours
• Corporate retreats
• Robust continuing education program
• Management training
• Regular company-wide lunch and learns
• Well-defined career paths

Compensation

• Base salary: USD 145,000 - 175,000 per year
• Additional compensation: Bonus + Equity

Additional Information

• Named one of the best places to work in New York City by Built In and Crain’s (recognized the past three years straight).
• Triple digit growth; currently experiencing a strong expansion period.
• No third party recruiters: unsolicited agency resumes are not accepted, and adMarketplace is not responsible for fees related to unsolicited resumes.
• Salary range reflects low and high ends for the role in the New York office; final compensation varies based on professional and academic experience, training, responsibilities, and business needs. The range is one component of total compensation.