Technical Vetting Lead

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 strategic and hands-on Tech Vetting Lead with a primary focus on Machine Learning to design, implement, and optimize the technical evaluation process for hiring world-class talent. While the core emphasis will be on ML, this role will also support vetting efforts across other Centers of Excellence, including Data Science, MLOps, Data Analytics, Data Engineering, and Software Engineering. You will play a pivotal role in shaping Factored’s technical recruiting standards, ensuring we assess the right skills with the right rigor across multiple disciplines.

This is a high-impact role requiring a deep understanding of technical domains and recruitment workflows. You will collaborate closely with technical leads, hiring managers, recruiters, and our talent operations team to scale a fair, effective, and scalable vetting process.

Functional Responsibilities:

• Design and Improve Vetting Frameworks: Lead the development and continuous improvement of standardized technical evaluation processes with a primary focus on Machine Learning roles. You will also support the refinement of vetting frameworks across other domains, including Data Science, MLOps, Data Analytics, Data Engineering, and Software Engineering.
• Lead and Develop Interview Teams: Recruit, train, and manage a high-performing team of technical interviewers; provide ongoing coaching to ensure quality and consistency.
• Ensure Process Consistency and Fairness: Build scalable tools and methodologies that promote consistency, objectivity, and fairness across all technical vetting processes and interviewers.
• Collaborate with Engineering Leadership: Partner closely with engineering leaders and domain experts to design assessments grounded in real-world scenarios and technical challenges.
• Uphold Quality and Alignment Standards: Ensure consistent alignment among technical interviewers on vetting criteria and evaluation standards, maintaining a high and uniform bar for technical assessment.
• Enable Recruiting Excellence: Work closely with the recruiting team to embed robust technical vetting standards into hiring workflows, raising the overall quality of technical hiring.
• Stay Current with Industry Best Practices: Monitor and implement best-in-class practices for technical interviewing, candidate assessment, and talent evaluation.

Qualifications:

• Proven experience in a technical role, ideally as a Machine Learning Engineer.
• Experience contributing to or leading technical hiring processes.
• Experience designing or administering technical assessments and interview formats.
• Excellent communication skills in English and the ability to effectively manage and align diverse stakeholders.
• Passion for talent development and commitment to high hiring standards.

 

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.