Career Path - Clay Tyler, AI Researcher at Dianthus banner image

Career Path - Clay Tyler, AI Researcher at Dianthus

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What do the career path and the day-in-the-life look like for a AI Researcher at Dianthus?

We connected with Clay Tyler to find out!

Interested in learning more about Dianthus and their job openings?  Make sure to check out their company page on VentureFizz!

Where did you grow up?  What did your parents do for work?  

I grew up in the suburbs just outside of Atlanta. My mother stayed at home and my father worked in the tech industry. 

Where did you go to college?  What did you study and what were some of your initial jobs out of school?

Being an Atlanta native, I went to Georgia Tech. I studied Industrial Engineering for undergrad and Computer Science for my masters. While I was in school I was lucky enough to work for companies such as Uber and Coke. 

What has attributed to your success thus far and has helped propel you to the position you have now?

I often think of the quote: “Do your duty, and a bit more, and the future will take care of itself”; taking life a day at a time while gradually aiming for a higher set goal. 

Do you like where you are living currently? Where is your dream home?

I live in Boston now, but the dream is to probably be somewhere warmer–ideally on a beach: San Diego and Miami are some of my favorite cities in the US. Outside of the country, probably somewhere in Spain. 

Can you share the high-level responsibilities of your current position as a AI Researcher at Dianthus?

I’d say mainly making sure that the gap between what ideally needs to be done and what can be done is adequately bridged. In parallel, helping to think creatively and pushing the boundaries of possible solutions. 

Can you share your greatest professional accomplishment so far?

I was pretty proud of my work out of Coke. I was tasked to do predictive analysis on error detection in freestyle machines and helped save the company one-million cumulatively through their whole fleet. I got to see first hand how the field of Machine Learning was able to impact a real world problem the company was facing. 

Any tips for someone considering a career in your field?

Be able to cut through the noise and buzzwords surrounding it, knowing concepts in terms of first principles, being able to learn and adapt quickly. Understanding the limitations of all technical solutions and not falling into the trap of finding panaceas. The space of problems will always be greater than the space your solutions are able to cover–be wary of anyone who claims otherwise. 

Day in the Life

Coffee, tea, or nothing?


Breakfast in the morning?

If I have time, yes

How is the commute?

It’s a 30 minute walk to the office, so very pleasant

What time do you start working?

I usually get into the office a bit before 9 

What are three things that motivate you in your role?

Good culture, short term project successes, long term company goals 

Every day is different, but can you outline what a typical day looks like for you?

Walk to work, walk back, try to unwind by reading or working on other projects I’ve been thinking about

What time do you typically wrap up the work day?

Around 5-6

Do you log back in at night or do you shut it down completely when you go home? 

It depends on if I have any work lingering, but if not I usually try to relax and unwind

Any productivity hacks?

Lots of walks, coffee 

What are the 3 apps that you can’t live without?

Can I list twitter three times? 

What is your favorite tool for work?

Sublime Text is my go-to text editor, use it all the time

Who do you admire or call upon for professional advice?

I have a college advisor from high school who was a great mentor and I still keep in touch with him

Is there any advice you’d impart to someone who wants to follow in your footsteps?

Know your personal competencies and your interests and build from there. Do not get trapped in the prevailing dogma of industry or others opinions. Be curious and open to new things and experiences–all learning comes from that. 

Can you give me a brief summary of how you started as a Dianthus Intern?

  • How did you get that internship?

  • What was your role then?

  • What did you learn during this internship, and how did that translate into your full time at Dianthus?
  • Did you expect to be invited to work with Dianthus?

  • What was the transition like?

Like most people early on in the company, I had known Rob, and after I heard he was starting a company, I applied for an internship. The company was in a fledgling state so my role was commensurate with that; AI Researcher was the title and I helped lay some groundwork and imagine what an AI-first Ecommerce company would look like. I was able to learn a lot by virtue of seeing how a company goes from 0 to 1 so to speak, there was really a lot going on in the ramping up process. I was invited to work part time as I finished out school, so the transition to full time work was fairly natural–just involved more hours a week. 

About the

Dianthus is a tech meets ecommerce company with a suite of custom AI powered tools. We acquire Shopify and WooCommerce brands and rapidly grow them with AI and Machine Learning. 

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