Machine Learning Engineer (LLMs)

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 worldwide, 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 highly skilled Machine Learning Engineer with specialized experience in Language Models (LLMs) to join our team. As an MLE with expertise in LLMs, you will be responsible for developing, implementing, and optimizing cutting-edge natural language processing (NLP) solutions to tackle complex problems in various domains. #LI-Remote

What you will be doing:

• Design, implement, and train LLMs to address specific NLP tasks such as text generation, sentiment analysis, named entity recognition, text summarization, question answering, and more.
• Train LLMs on large-scale datasets using state-of-the-art techniques and frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Conduct research to enhance existing LLMs or develop novel models tailored to specific applications.
• Analyze model performance, identify areas for improvement, and iterate on the development process to achieve desired outcomes.
• Collaborate with software engineers and developers to deploy LLM-based solutions into production environments.

What you must bring:

• 5+ years of experience in machine learning and deep learning, with a focus on NLP.
• In-depth understanding of LLMs and their architectures, including hands-on experience with transformer-based models (e.g., BERT, GPT).
• Strong knowledge and practical experience in training Deep Neural Networks.
• Strong proficiency in programming languages such as Python, along with experience using libraries and frameworks like TensorFlow, PyTorch, scikit-learn, and NLTK.
• 2+ years fo experience with Convolutional Neural Networks (CNNs) or Vision Transformers for image processing.
• Solid understanding of machine learning principles and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with Ray Serve and openness to adopt other distributed serving technologies (Kubeflow, BentoML, Triton, etc).
• Understanding of distributed systems and their application in machine learning.
• Knowledge and practical experience in implementing CI/CD pipelines for machine learning projects.
• Strong communication skills in English.

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.