Factored is looking for a Senior Machine Learning Engineer who is passionate about building state-of-the-art recommender systems and leveraging Generative AI. The position is fully remote and is a complete engagement job. This role is aimed at engineers who want to work on advanced machine learning projects for U.S. companies.
What Factored Does and Who It Hires
Factored was founded in Palo Alto by Dr. Andrew Ng and Israel Niezen. The company helps U.S. companies build and scale world-class AI, ML, and Data teams. It does this by tapping into the top 1% of LATAM talent. The company's stated purpose is to empower brilliant humans, unleash their potential, and amplify their impact in the world.
At Factored, engineers join a community that values learning, ownership, and authenticity. The company says growth is personal and ideas matter. It describes itself as transparent, curious, and collaborative. Factored strives for excellence, celebrates diversity, and encourages curiosity to build an environment where people can truly thrive.
Why This Machine Learning Engineer Role Matters
This is a senior role, which means Factored is looking for someone with deep experience. The engineer will focus on recommender systems — the technology behind personalized suggestions on platforms like streaming services, e-commerce sites, and social media. The role also involves Generative AI, which is one of the fastest-growing areas in tech today.
The mention of Databricks in the job title signals that the engineer will work with a popular data platform used for big data processing and machine learning. Databricks is widely used by data teams to build and deploy ML models at scale. Combining recommender systems with Databricks suggests the role involves both model building and data infrastructure work.
The job is fully remote, meaning the engineer can work from anywhere. This fits Factored's model of connecting U.S. companies with top talent across Latin America. The complete engagement structure means this is a full-time, dedicated position rather than a short-term contract.
Our Take: A Strong Opportunity for Senior ML Engineers
In our view, this role reflects a growing trend: U.S. companies are increasingly looking beyond their borders to find top machine learning talent. Factored's model of connecting U.S. firms with the top 1% of LATAM engineers is a smart way to fill the talent gap in AI and ML.
For senior machine learning engineers in Latin America, this is a strong opportunity. The role combines two high-demand skills — recommender systems and Generative AI — with a widely used platform in Databricks. Engineers who can work across these areas are in short supply, and this position offers a chance to work on cutting-edge projects from anywhere.
To put it plainly, if you are a senior ML engineer with experience in recommender systems and want to work remotely for U.S. companies, this Factored role is worth a serious look. The combination of remote work, senior-level responsibility, and exposure to Generative AI makes it a compelling opportunity in today's job market.
