Machine Learning Engineer jobs in New York, NY

Design, build, and operate production systems to detect and disrupt abusive behavior across the platform. Manage the end-to-end lifecycle of machine learning models, from prototype development to deployment and monitoring.

You will build and optimize large-scale machine learning systems for search, ads, and recommendations to improve the buyer and seller experience. This involves owning models end-to-end, from data pipelines through training and production serving, while validating impact via A/B experiments.

Design, implement, and scale machine learning models to protect users from harmful content and ensure regulatory compliance. Collaborate with cross-functional teams and leadership to set ML strategies and improve the organization's technical stack.

You will architect and operate scalable infrastructure for training and serving machine learning models, including LLMs, on GCP and Kubernetes. You will collaborate with Applied Scientists to remove friction from their workflows and ensure high-performance, reliable model serving for millions of users.

The role involves designing, training, and deploying large-scale models that power programmatic advertising and commerce media products, working within real-time bidding and pricing systems processing billions of daily events. Responsibilities include architecting high-performance models, productionizing scalable ML pipelines, extracting insights from massive datasets, and validating innovations through rigorous experimentation.

You will build systems that drive the training and deployment of large-scale machine learning models while collaborating with researchers and engineers. You will also participate in classroom-based training and engage in professional development sessions to support your growth.

You will lead the technical direction and strategy for foundational machine learning capabilities, including visual representation learning and multimodal content understanding. This involves driving high-impact scientific initiatives from research through to productionization and cross-functional adoption.

Lead the technical strategy and execution for SoundCloud’s machine learning systems, focusing on recommendation, ranking, and personalization. Mentor and grow a high-performing team while driving impactful data-driven products.

The Machine Learning Engineer will design and deploy LLM-powered knowledge systems and predictive models to optimize climate policy and renewable energy deployment. They will manage the full modeling lifecycle, including data infrastructure, causal analysis, and MLOps pipelines to support data-driven climate solutions.