Become a Machine Learning Engineer, Generative AI & LLMs Expert jobs in United States
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Factored · 2 weeks ago

Become a Machine Learning Engineer, Generative AI & LLMs Expert

Factored is a company founded by Andrew Ng and a team of AI experts to address the global shortage of qualified AI engineers. They are seeking a Machine Learning Engineer who will focus on building Generative AI solutions and Large Language Models, while participating in a comprehensive training program to enhance both technical and soft skills.

Artificial Intelligence (AI)Machine LearningSoftware
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H1B Sponsor Likelynote

Responsibilities

Engage in a combination of asynchronous learning (self-paced online content) and synchronous sessions led by our Training and Talent teams, providing opportunities to share insights, discuss challenges, and receive expert guidance
Lead End-to-End ML Development: Design, develop, and deploy advanced machine learning models, with a strong focus on Retrieval-Augmented Generation (RAG), LLMs, and Generative AI solutions
Build Intelligent Systems: Create and implement intelligent systems that effectively integrate retrieval and generation techniques, significantly enhancing model performance and real-world usability
Model Optimization & Deployment: Implement and optimize complex NLP and deep learning models using frameworks like PyTorch/TensorFlow for robust, scalable production environments
Drive Innovation: Explore and apply cutting-edge methodologies, such as advanced prompt engineering, model fine-tuning, and AI agent automation, to push the boundaries of our solutions
Ensure Scalability: Work with cloud computing platforms (AWS, GCP) or equivalent on-premise solutions to guarantee reliable and scalable deployment of all AI systems
Cross-Functional Collaboration: Work closely with software engineers, data scientists, and product teams to seamlessly integrate AI solutions into real-world applications
Effective Communication: Clearly and effectively communicate complex engineering challenges and innovative solutions to both fellow engineers and business partner teams

Qualification

Machine LearningNatural Language ProcessingGenerative AIPythonPyTorch/TensorFlowRetrieval-Augmented GenerationCloud ComputingCommunicationCollaborationProblem Solving

Required

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
5+ years of hands-on experience in developing and deploying machine learning models, with 2+ years of direct experience working with production NLP and deep learning models
Excellent English communication skills
Strong Python skills and adherence to coding best practices
Deep proficiency with PyTorch/TensorFlow for deep learning and NLP applications
Expertise in Retrieval-Augmented Generation (RAG) and other techniques to enhance AI model capabilities
Hands-on experience with LLMs and Generative AI frameworks (e.g., Hugging Face, OpenAI API, LangChain)
Strong understanding of prompting techniques, including the trade-offs between prompt engineering and fine-tuning
Proficiency in developing AI agents and automation workflows
Experience with cloud computing (AWS, GCP) or equivalent on-premise platforms for model deployment
Excellent communication skills, with the ability to articulate complex engineering concepts clearly and effectively to diverse audiences

Company

Factored

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Factored helps companies build world-class, rigorously vetted data science, machine-learning, and AI engineering teams.

H1B Sponsorship

Factored has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (2)

Funding

Current Stage
Growth Stage
Total Funding
$2.5M
Key Investors
AI Fund
2020-04-15Pre Seed· $2.5M

Leadership Team

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Israel Niezen
Chief Executive Officer
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Company data provided by crunchbase