Machine Learning Engineer, Model Customization, Generative AI Innovation Center
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
Track your applications on mobile The free Whileresume app, on iPhone and Android.
The role
Design and implement distributed training pipelines for large language models to enable scalable, efficient development.
Customize and fine-tune LLMs across languages, domains, and modalities through continued pre-training, fine-tuning, and RLHF.
Optimize AI models for deployment on cloud accelerators using SDKs and custom kernels for performance.
Collaborate with enterprise customers and foundational model providers to co-create tailored generative AI solutions.
Deliver end-to-end ML workflows, spanning data preparation, training, evaluation, and deployment at scale.
Partner with cross-functional teams to push the state-of-the-art in AI while delivering robust, secure, and compliant solutions.
Customize and fine-tune LLMs across languages, domains, and modalities through continued pre-training, fine-tuning, and RLHF.
Optimize AI models for deployment on cloud accelerators using SDKs and custom kernels for performance.
Collaborate with enterprise customers and foundational model providers to co-create tailored generative AI solutions.
Deliver end-to-end ML workflows, spanning data preparation, training, evaluation, and deployment at scale.
Partner with cross-functional teams to push the state-of-the-art in AI while delivering robust, secure, and compliant solutions.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inYou might also like these jobs
No closely matching jobs yet — here are the most recent ones.