Machine Learning β’ Data Engineering β’ Data Analytics β’ Artificial Intelligence β’ Data Science
51 - 200
October 3
πΊπΈ United States β Remote
β° Full Time
π‘ Mid-level
π Senior
π€ Machine Learning Engineer
π½ H1B Visa Sponsor
Machine Learning β’ Data Engineering β’ Data Analytics β’ Artificial Intelligence β’ Data Science
51 - 200
β’ 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. β’ 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. β’ 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. β’ 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.
β’ At least 3 years of experience in the machine learning field, with a proven track record of implementing ML models or solutions. β’ 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). β’ For the LLM path: Experience using transformer architecture models for NLP tasks and familiarity with PyTorch/TensorFlow and Hugging Face. β’ For the MLOps path: Familiarity with ML model deployment, CI/CD pipelines, and tools like Docker and Kubernetes. β’ Understanding of machine learning algorithms, data pipelines, and software engineering principles. β’ Proficiency in production-grade Python code and basic understanding and experience in Backend Development. β’ Hands-on experience with cloud platforms (AWS, Azure, or GCP). β’ Ability to communicate technical concepts clearly and collaborate effectively with cross-functional teams. β’ Excellent written and spoken English communication skills and the ability to have in-depth technical discussions with both the engineering team and business people.
β’ Factored will pay a monthly stipend to all program participants to cover living expenses during the accelerator program. β’ Factored does not charge any upfront fees to enroll and participate in the program. β’ 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. β’ 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.
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