Fully remote | Complete engagement job
Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.
At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.
Our Program:
The Factored AI Machine Learning & GenAI Residency is a full-time, paid professional residency designed for experienced engineers who want to operate at a higher level of responsibility, complexity, and impact. This residency is not a course or a traditional training program. It is a selective, execution-driven environment where engineers validate and elevate how they build and operate real Machine Learning and Generative AI systems in production.
Residents work within real constraints, alongside peers who meet the same engineering bar, on systems that matter.
Highlights
- A full-time, paid residency with clear professional expectations
- Work on real production systems, not academic exercises or toy projects
- Ownership of system-level decisions across architecture, performance, reliability, and cost
- Continuous technical evaluation through real execution, not exams
- Exposure to the standards used to build and operate AI systems for U.S. companies
This residency is designed to function as a professional validation layer for senior engineers.
Structure & Support
The residency operates as a structured professional track focused on execution.
- Residency Period: 12 to 16 weeks, depending on readiness and scope
- Time Commitment: Full-time (approximately 45 hours per week)
- Environment: Hands-on execution, technical reviews, system-level discussions
- Compensation: Paid, reflecting the professional nature of the residency
Residents are supported with access to infrastructure, peer feedback, and senior technical guidance aligned with Factored’s engineering standards.
Qualifications
We are looking for engineers who already have strong foundations and real production experience.
Required background:
- 4+ years of experience building and deploying Machine Learning systems in production
- Strong Python proficiency, writing production-grade code
- Solid understanding of Deep Learning fundamentals, including model architecture, optimization, and training dynamics
- Experience working with NLP and modern ML frameworks such as PyTorch, TensorFlow, or Hugging Face
- Backend experience building APIs with FastAPI or Flask
- Experience with containerization and cloud deployment (AWS, Azure, or GCP)
- Familiarity with production MLOps practices, including CI/CD, model versioning, monitoring, and infrastructure as code
- Strong written and spoken English, with the ability to communicate technical decisions clearly
- Must be based in LATAM
This residency is not designed for beginners or engineers without prior production exposure.
Program Logistics
- Start Date: Ongoing for the first quarter of 2026
- Program Type: Full-time, paid residency
- Focus: Execution-first, production-grade AI systems
- Duration: 12 to 16 weeks
Factored does not charge upfront fees to participate. Any contractual terms related to participation and long-term engagement are communicated transparently during the process.
Admission Process
The admission process is designed to evaluate real-world readiness and system-level thinking.
- Online Assessment: Evaluation of core technical foundations and problem-solving ability
- Talent Interview: Assessment of communication, clarity of thought, and professional alignment
- Technical Interview: Deep dive into prior production experience and decision-making
- System Design Interview: Evaluation of architecture thinking, trade-offs, and cultural fit
Admission is selective by design.
Our Benefits:
- Ownership through equity participation.
- Annual company retreat.
- Education bonus for continuous learning.
- Company-wide winter break.
- Paid time off.
- Optional in-person events and meetups.
- Tailored career roadmaps.
- High-performance culture.
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 are 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.
