Advanced Accelerator Program - LLMs & MLOps Specialization

October 3

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Factored

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Machine Learning • Data Engineering • Data Analytics • Artificial Intelligence • Data Science

51 - 200 employees

🤖 Artificial Intelligence

👥 HR Tech

☁️ SaaS

Description

• Who We Are: Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & machine learning engineers globally. • Our Program: Our Advanced Accelerator program focuses on guiding engineers to the pinnacle of their careers, whether in LLMs or MLOps. It outlines a robust progression path that develops deep expertise in these essential domains of AI. • Choose Your Path to Engineering Mastery: Engineers ready to advance their careers can specialize in either LLMs or MLOps, while developing strong foundational knowledge in software and ML systems design. • By the end of the advanced accelerator program, both LLM and MLOps engineers will be able to design scalable, high-performance ML systems and develop end-to-end solutions that integrate data pipelines and deployment.

Requirements

• At least 3 years of experience in the machine learning field, with a proven track record of implementing ML models or solutions. • At least one year of NLP experience (for candidates choosing the LLM path) or one year of experience in MLOps (for candidates choosing the MLOps path). • For the LLM path: Experience using transformer architecture models for NLP tasks and familiarity with PyTorch/TensorFlow and Hugging Face. • For the MLOps path: Familiarity with ML model deployment, CI/CD pipelines, and tools like Docker and Kubernetes. • Understanding of machine learning algorithms, data pipelines, and software engineering principles. • Proficiency in production-grade Python code and basic understanding and experience in Backend Development. • Hands-on experience with cloud platforms (AWS, Azure, or GCP). • Ability to communicate technical concepts clearly and collaborate effectively with cross-functional teams. • Excellent written and spoken English communication skills and the ability to have in-depth technical discussions with both the engineering team and business people.

Benefits

• Factored will pay a monthly stipend to all program participants to cover living expenses during the accelerator program. • Factored does not charge any upfront fees to enroll and participate in the program. • Participants will need to sign a loan agreement for an amount equal to the cost of their participation. This loan will be fully repaid and canceled after 2 years of full-time employment with Factored. • After the program, we will conduct a technical assessment by the end of the accelerator program. Factored will extend full-time employment offers to participants who successfully complete and graduate from the accelerator program.