ML Ops Engineer

HUMAN was founded in 2012 in a Brooklyn sci-fi bookstore by Tamer Hassan, Michael Tiffany, Dan Kaminsky, and Ash Kalb. Our humble beginnings led to the creation of the Human Defense Platform, the backbone of all our products that safeguards enterprises from sophisticated bots, fraud, and account abuse. Today we verify the humanity of more than 20 trillion interactions per week for some of the largest companies and internet platforms.

Our hacker roots still permeate everything we do. You will be a part of the HUMAN front line in our commitment to protecting companies (and in turn, their customers) from both revenue and reputation risk caused by digital attacks. However, HUMAN is not the center of this story. Humans like yourself are. We firmly believe in putting people first. This approach spans our extensive total rewards package, inclusive of competitive compensation, benefits, stipends - as well as our day-to-day culture - to ensure every human is empowered to do the best work of their life. We want to hear about the marathon you’re training for. We want to see pictures of your pets. We want to know your favorite robot (we have many).

Even if you’re not a conventional “hacker” we can assure you that you are a hacker in your own right. We want to work with people like you who break down problems to build up better solutions. That’s what makes us HUMAN. You’ll be joining us at an exciting moment in the HUMAN story: we joined forces with PerimeterX in a market-changing merger, as well as recently acquired clean.io to enhance the Human Defense Platform. Together under the HUMAN brand, we will disrupt the economics of cybercrime. We hope you can join us in that mission.

We’re looking for a strong ML engineer to join our team and help lead the development of our ML infrastructure. If you’re passionate about ML, Python and high-scale big-data environments, come join the team!
What you'll do:
Lead the development of our ML Ops infrastructure, creating processes that support ML projects in the company from their development phase until their deployment to production and beyond.
Build and support an infrastructure for real-time model inference at scale, serving billions of requests each day.
Implement data-based processes and solutions processing massive amounts of data as part of our ML pipelines.
Work closely with our data scientists to deliver new projects, define processes and coding standards and gather requirements to further develop our infra.
Design and implement pipelines integrating ML models and prediction results into our core products.
Be the go-to person for any Python or ML Ops related question or idea, being a focal point for both our Research and engineering teams.
Who you are:
5+ years of backend development in Python.
Has experience developing ML Ops processes or supporting ML models in production.
Experienced with big-data, high-scale environments.
Familiar with cloud vendors concepts and tools, preferably working on top of one in prior positions.
Team player with good verbal and written communication skills.
Passionate about technology, fast learner and eager to lead and take ownership of big projects end-to-end.
Prior experience working with GCP - advantage.
Golang knowledge and experience - advantage.
Experience with Vertex AI and Kubeflow pipelines - advantage.
HUMAN prides itself on being an equal opportunity workplace. We firmly believe in putting people first regardless of who you are, where you come from, how you identify, or who your favorite robot is (we have many). We are on a mission to protect the integrity of the internet for everyone, so we welcome all individuals to come to share their unique experiences and perspectives as we fight against cybercrime together!

With Humans located in all parts of the world, we’ve fully embraced our diversity of thought and are always looking for innovative ways to connect with one another - even in virtual reality! Although New York City is our HQ, we have teams in Tel Aviv, Israel; London, UK; Victoria, Canada; San Mateo, CA; Miami, FL; and Virginia.

We trust our Humans in choosing where they work and how they work. The total rewards package we provide reflects our commitment to our Humans’ personal career development, which includes annual stipends for home office setup, wellbeing, and learning & development. We also offer weekly lunches, flexible time off, no-meeting Fridays (for our U.S. and Intl. based HUMANs), HUMAN days, and so much more.

We’re constantly trying to anticipate the needs of our Humans to ensure each one of us is equally prepared to do some of the best work of our life. Taking care of one another is part of the HUMAN experience and how we build true HUMAN connections.

If you are an individual with a disability or special need that requires accommodation, please contact us directly.