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Machine Learning Engineer II

adMarketplace New York, NY

New York, NY

Today

$145k - $175k/yr Full time Artificial Intelligence Big Data Data Pipeline

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Job Description

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.

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