Meet the Tinder Machine Learning Team: Carlos Gutierrez
Up next on the Machine Learning team is anti-abuse analyst, Carlos Gutierrez. Joining Tinder nearly three years ago, he uses his knowledge to sequence streams of information, translating his findings into insights that feed into business rules and strategies to fight abuse on the app. As an analyst his work is a natural progression from his engineer teammates.
Tell us three fun facts about yourself
- LA born and raised!
- Love to travel and can’t wait to get back to it
- Have been in the anti-abuse space for over a decade.
What are some accomplishments you’re proud of in your career?
Being able to make an impact in disrupting bad actor campaigns throughout my career. Keeping a learning mindset has helped me scale up to meet Tinder’s challenges.
What excites you most about your role?
The chance to tap into my creative side to come up with new ideas for heuristics and strategies to fight abuse. The adversarial nature of our work means we must aim to stay two steps ahead of bad actors in order to protect our members. The idea of leveraging tech and data to do good — that really does it for me.
What is a ‘day in the life’ as an Engineer at Tinder
As an analyst focused on converting insights into actions, I feel like there is never a dull moment. Typically my day consists of analyzing new trends, sizing up opportunities and prioritizing the projects that will move the needle.
What might surprise engineers about working here?
The autonomy to figure out the how part along with world-class tech and the support from team members that are keen to help you ship code that will go a long way towards improving the member experience.
I feel like our T&S team goes “hard in the paint” because we are just so passionate about the mission. Our cross-functional team partnerships provide the resources needed to move quickly and seize opportunities, which speaks to the company’s commitment to truly making Tinder the safest place to meet people.
Working on the ML team at Tinder as an analyst, how did you join the team?
With the work I was doing, it made sense for me to join the Machine Learning team at Tinder. It’s great because we now have a tightly knit team that’s dedicated to fighting abuse, and we’ve been able to consolidate efforts and create feedback loops that feed insights into our models, as well as finding ways to maximize their value.
What do you enjoy most about working on the ML team?
The impact that you have is so great because of Tinder’s global scale. Our work– preventing bad actor behavior on the platform– directly impacts the experience of our members. From who members are able to view to how we restrict bad actors and harassment, our work ultimately goes into shaping what the product is. I also really enjoy my team. The group is very supportive and we all are about the work.
Interested in solving problems and working with a dynamic team of engineers? We’re hiring!