Rethink recruit
Machine Learning Lead
Rethink recruit, Stanford, California, United States, 94305
About FEDML
FEDML is an AI research and development company with a focus on Generative AI Platform at Scale. FEDML provides the generative AI platform and foundation models to enable developers and enterprises to build and commercialize their own generative AI applications easily, scalably, and economically. Its flag product, FEDML Nexus AI, provides unique features in enterprise AI platforms, model deployment, model serving, AI agent APIs, launching training/Inference jobs on serverless/decentralized GPU cloud, experimental tracking for distributed training, federated learning, security, and privacy.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
FEDML's HQ is located at The Lucky Building, 165 University Ave, Palo Alto, CA. Join us in shaping the future of technology.
Our Benefits
Floating holidays Medical, Dental and Vision for employees and family members Truly competitive salary and equity 401(k) (U.S. specific) Machine Learning Engineer Lead
About The Role
As a Machine Learning Engineer Lead, you will be instrumental in driving the development of our GenAI platform at scale. Your contributions will not only include foundational research and product development but also enhancing our platform's features and algorithms to improve usability and user experience. You'll engage with cutting-edge or mature technologies, participate in or lead design reviews, and provide insightful feedback on code to uphold best practices. Your efforts will help shape the future of AI, making generative AI more scalable and efficient.
Responsibilities
Play a key role in the end-to-end design and implementation of our product which is a platform for powering use cases across training and serving of generative AI models Work closely with both ML researchers in the company and customers to identify key areas of development for our generative AI platform Have strong end-to-end product ownership, translating product requirements into user interfaces and backend distributed system design as well as own the implementation of these designs Design and build the core platform infrastructure that supports our customer-facing product features Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product We Look For
5+ years of full time industry experience Strong software engineering skills Experience building large-scale distributed systems Experience building ML platform systems for applications in the ML model development lifecycle such as model training, data preparation, model evaluation, and model serving Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.
FEDML is an AI research and development company with a focus on Generative AI Platform at Scale. FEDML provides the generative AI platform and foundation models to enable developers and enterprises to build and commercialize their own generative AI applications easily, scalably, and economically. Its flag product, FEDML Nexus AI, provides unique features in enterprise AI platforms, model deployment, model serving, AI agent APIs, launching training/Inference jobs on serverless/decentralized GPU cloud, experimental tracking for distributed training, federated learning, security, and privacy.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
FEDML's HQ is located at The Lucky Building, 165 University Ave, Palo Alto, CA. Join us in shaping the future of technology.
Our Benefits
Floating holidays Medical, Dental and Vision for employees and family members Truly competitive salary and equity 401(k) (U.S. specific) Machine Learning Engineer Lead
About The Role
As a Machine Learning Engineer Lead, you will be instrumental in driving the development of our GenAI platform at scale. Your contributions will not only include foundational research and product development but also enhancing our platform's features and algorithms to improve usability and user experience. You'll engage with cutting-edge or mature technologies, participate in or lead design reviews, and provide insightful feedback on code to uphold best practices. Your efforts will help shape the future of AI, making generative AI more scalable and efficient.
Responsibilities
Play a key role in the end-to-end design and implementation of our product which is a platform for powering use cases across training and serving of generative AI models Work closely with both ML researchers in the company and customers to identify key areas of development for our generative AI platform Have strong end-to-end product ownership, translating product requirements into user interfaces and backend distributed system design as well as own the implementation of these designs Design and build the core platform infrastructure that supports our customer-facing product features Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product We Look For
5+ years of full time industry experience Strong software engineering skills Experience building large-scale distributed systems Experience building ML platform systems for applications in the ML model development lifecycle such as model training, data preparation, model evaluation, and model serving Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.