This range is provided by People In AI. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more.
Base pay range
$215,000.00/yr - $230,000.00/yr
Principal Machine Learning Engineer - On-Site (NYC)
$215,000-$230,000 base + equity
Hybrid NYC
Build the Future of AI-Powered Behavioral Modeling
My client is seeking a Principal Machine Learning Engineer to lead the development of large-scale ML models powering cutting-edge behavioral modeling and personalization systems. If you have deep expertise in self-supervised learning, embeddings, sequencing, and large-scale data systems, this is an opportunity to drive innovation in a fast-moving environment.
Responsibilities:
- Develop and optimize ML models for behavioral modeling, predictive analytics, and personalization.
- Work on representation learning techniques, embeddings, and sequence modeling to improve user intent understanding.
- Architect scalable ML pipelines for model training, deployment, and evaluation in production environments.
- Improve feature engineering, embeddings drift detection, and model retraining strategies.
- Implement and maintain data orchestration, build systems, and experiment tracking.
- Collaborate with engineering and product teams to integrate ML solutions into business-critical applications.
Qualifications:
- 8+ years of experience in machine learning, applied AI, or large-scale data systems.
- Experience working with big data pipelines and large-scale ML systems.
- Ability to work across the full ML pipeline, from data processing to model deployment.
- Strong problem-solving skills and an ability to contribute to product discussions.
This is an on-site role based in New York City. If you're passionate about building high-performance ML systems and solving complex real-world challenges, we'd love to connect.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering, Marketing, and Research
Industries
Retail, Advertising Services, and Research Services
J-18808-Ljbffr