Top Entry Level Machine Learning Jobs in NYC, NY

Work with product and engineering teams to analyze large datasets, build and deploy machine learning and statistical models, develop data pipelines and mining frameworks, generate predictive insights, and present actionable recommendations. May require nights/weekend availability and independent judgment.

This role involves developing AI and machine learning models for vaccine strain selection, integrating biological data, and validating models through rigorous benchmarking while collaborating with various scientific disciplines.

Quantitative Researchers will build models and strategies for pricing and trading financial instruments, collaborating closely with teams and using various techniques from statistical methods to deep learning.

Design and evaluate next-generation recommendation and ranking models using LLMs, RLHF, and preference learning. Build user understanding systems for conversion and value estimation at scale. Apply RL and optimization to bidding and real-time delivery. Run causal inference, A/B tests, and offline evaluations. Collaborate with engineering to productionize research and communicate results to technical and non-technical stakeholders.

The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.

The Machine Learning Engineer will build data pipelines, manage multi-GPU training infrastructure, optimize code, and deploy inference pipelines for LLMs.