140 results for Machine Learning Engineer Jobs in 10007, New York, NY, US

About Rippling Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform. By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they n...

Work on a wide range of ML compilers, improve ML compiler optimization capabilities through benchmark analysis and profiling, innovate new ML compiler and optimization algorithms, upstream compiler algorithms to open-source compiler projects, and author research publications.

🚀 About PermitFlowPermitFlow’s mission is to streamline and simplify construction permitting in the $1.6 trillion United States construction market. Our software reduces time to permit, supporting permitting end-to-end including permit research, application preparation, submission, and monitoring.W...

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. W...

Engage in all stages of the ML lifecycle, implement and optimize information retrieval models for search and recommendation tasks, gather and preprocess data, develop and evaluate models, deploy and monitor performance. Collaborate within a team and ensure data security according to HIPAA guidelines...

Design, develop, and deploy AI/ML solutions, maintain automated deployment pipelines, optimize generative models for NLP applications, evaluate model performance, and communicate findings to stakeholders.

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, mult...

Responsible for designing and developing AI/ML product features and customer solutions, building scalable infrastructure, and integrating enterprise operational data. Involves determining suitable AI/ML approaches, developing models, and designing data collection and evaluation mechanisms.

Responsible for gathering requirements, refining product concepts, and implementing data modeling and algorithm development. Supports customer requests, creates and optimizes models and metrics, writes tests for machine learning models, and collaborates with team members across various functions to ...

Develops and deploys machine learning models to enhance buyer and seller experiences, collaborates with cross-functional teams, runs A/B tests, and implements advancements in machine learning.