Machine Learning Engineer (RAGs)

Factored in Latin America

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. ​We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.

We are seeking a skilled Machine Learning Engineer to join our team, with a specialized focus on Retrieval-Augmented Generation (RAG) models. The ideal candidate will have experience in designing, developing, and deploying advanced machine learning models that integrate retrieval and generation capabilities to create powerful AI-driven applications. #LI-Remote
At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.

We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth is available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing.

We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business, but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business, and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts. In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission.  When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.
    • Design, develop, and optimize RAG models that combine retrieval-based and generation-based approaches to solve complex problems.
    • Enhance the performance of RAG models through innovative algorithmic techniques and fine-tuning.
    • Fine-tune and adapt LLMs for specific tasks and domains within the RAG framework.
    • Work with cross-functional teams to integrate RAG models into production environments and ensure seamless deployment.
    • Utilize machine learning methods and advanced techniques like LLMs to create effective AI solutions.
    • Design, deliver, and maintain features such as predictive analytics, automated risk assessments, intelligent data extraction, and personalized insights.
    • Write well-designed, maintainable, and testable code. Create clear and comprehensive design documentation.
    • Prioritize customer needs and experiences in all development efforts.
    • Designed and developed frameworks for GenAI products, such as search interfaces, bots, and summarizers.
    • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
    • 3-4 years of hands-on experience in developing and deploying machine learning models.
    • Strong Python skills are required.
    • 3+ years of experience with production NLP and deep learning models using PyTorch/TensorFlow.
    • Proven experience utilizing cutting-edge methodologies such as Retrieval-Augmented Generation (RAG) and other innovative techniques to enhance model performance and create sophisticated AI solutions.
    • Proficiency in various prompting techniques with a clear understanding of the tradeoffs between prompting and fine-tuning.
    • Experience with cloud computing platforms (AWS, GCP) or equivalent on-premise platforms.

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