Machine Learning Engineer (Infrastructure)
Greece
Applications have closed
HUMAN
HUMAN Security is a cybersecurity company that safeguards enterprises and internet platforms from sophisticated bot attacks, fraud, and account abuse.Our hacker roots still permeate everything we do. You will be a part of the HUMAN front line in our commitment to helping protect companies (and in turn, their customers) from both revenue and reputation risk caused by malicious bots. 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 benefits and day-to-day culture in order for every human 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).
The HUMAN R&D team is pivotal to our mission to protect the heart of the internet by disrupting the economics of cybercrime. They are the ones uncovering and fighting bot operations like PARETO, ICEBUCKET, 3ve, and Methbot. HUMAN supports our R&D humans by strongly valuing deep work and flexibility. Company-wide meeting-free Fridays give you uninterrupted time to work on your projects. Additionally, this team is encouraged to participate in R&D Research Friday - a designated half-day each week dedicated to trying new ideas and personal career development. HUMAN is fully committed to flexible working arrangements, or as we call it, work from anywhere, anytime. All of this is to ensure our humans are able to do the best work of their lives. We want to work with people like you who break down problems to build up better solutions. That’s what makes us HUMAN.
In this role, you will be part of a detection team of highly skilled data scientists, ML engineers, hackers, threat analysts and software engineers that build the brain inside our products. The data is big, the adversaries are smart and the opportunity for innovation is beyond imagination. You should be an experienced software engineer with genuine interest in Machine Learning. You must use your technical skills to manipulate internet-scale data.
What you'll do:
- Work with ML researchers / Data Scientists to build scalable ML infrastructure and frameworks from experimentation to production.
- You will maintain, improve and extend our MLOps processes to facilitate ML experimentation
- Work with different teams across HUMAN to productionize your solutions and translate ambiguous business requirements to well defined OKRs and smaller units of work (i.e. epics, user stories).
- You will provide feedback, generate movement, help the team and the company to improve how it operates.
Who you are:
- You are a Software Engineer. You consider yourself a software engineer, you love to code, you love to develop and run software.
- You know Python. You speak Python as a second language. You love the language and have opinions on what is "Pythonic" and what isn't.
- You are an MLOps enthusiast, you like to keep up with the latest advancements in the domain and you use this knowledge to improve the performance of our production systems
- You love automation and you hate busywork. That is, the idea of repeating the same task twice horrifies you.
- You have a sound understanding of systems architecture
- You have at least two years of experience with Cloud technologies (AWS, GCP, Azure)
- You have a very good understanding of SQL and databases concepts
- You are familiar with ML Pipelines, Model Deployment, Training pipelines, Distributed training, GPU acceleration or Big Data pipelines. ( MLFlow, TFX, Sagemaker, Vertex AI)
- A basic understanding of Machine Learning will be considered a plus
- You know that everything is possible, and you're excited about assuming different roles and working on different things. However, you're experienced enough to identify good ideas from bad, and you protect your precious time in order to focus on building what matters.
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, with teams in London, Virginia, and Victoria, we trust our
Humans in choosing where they work and how they work. The benefits package we provide reflects our remote-first culture and 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, HUMAN days, sabbatical programs, 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Data pipelines Economics GCP GPU Machine Learning MLFlow MLOps Model deployment Pipelines Python R R&D Research SageMaker SQL VR
Perks/benefits: Career development Flex hours Flex vacation Home office stipend Lunch / meals
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