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Software Engineer / Machine Learning Researcher

Place of work
Bratislava
Contract type
full-time
Wage (gross)
From 2 200 EUR/month
*The final basic wage component can be increased accordingly to individual skills and experience of the selected candidate.

Information about the position

Job description, responsibilities and duties

You’ll be responsible for research and development of ML approaches used for direct detection of malicious threats, anomaly detection and risk assessment. The position involves data gathering, transforming, prototyping ML models and finally seeing them deployed in production - protecting our customers.

We are looking both for people who want to contribute more in research field, experimenting, playing with data as well as for people who want to work more on production part, developing and producing quality code.

Where does Software Engineer / Machine Learning Researcher work?
The position offered is a part of Core Research and Development Department located in Bratislava, member of Threat Detection and Machine Learning Research team. Our team of 8 works with large amounts of domain-specific data, and constantly tries to improve not only our automated threat detection capabilities – be it ML based and non-ML based, but also internal tooling for our colleagues to make their lives easier while analyzing newly appearing threats.

Technologies used in the job:
Python, TensorFlow/Keras, Scikit, Pandas, Hadoop/Hbase, Spark, Impala, Kafka, C/C++, SQL, JIRA, Confluence, Git

The advantages:
You’ll be creating something that really helps to protect millions of users worldwide, from large enterprises to individual home consumers. You’ll also have the opportunity to constantly learn something new as well as apply ML approaches in cyber security field, mastered only by a handful of people.

Employee perks, benefits

• Support in personal and professional development - opportunities to attend various trainings, courses, conferences or meetups
• Attractive financial bonus paid twice a year based on your performance
• Financial support in case of life milestones (wedding, childbirth)
• Complementary retirement savings contributions
• Fully covered 5 EUR/per day meal vouchers
• Wide range of benefits in sport, healthcare, culture, education and other areas
• "Refer a friend" benefit - the opportunity to receive a financial bonus when referring a friend for an open vacancy
• Available home-office days - 12 days per month (in SR)
• Fully-paid 3 sickdays
• Loyalty program - extra vacation days and financial bonus after working at ESET for 5 and more years
• Mind & Soul program - free helpline and counselling in personal and professional development
• Sport activities support – possibility to participate in various races, bike cages, bikes for rent
• Fresh fruit, tea, coffee, non-alcoholic beverages - you can find them all in every kitchen
• Casual, friendly, open culture with no dress code
• Participating in company events
• Opportunity to use company common areas (terrace, relax zone, library) for a chill time and meetings with colleagues
• Volunteering and opportunity to participate in various CSR activities

Requirements for the employee

Candidates with education suit the position

University education (Bachelor's degree)
University education (Master's degree)

Educational Specialization

IT

Language skills

English - Intermediate (B1)

Other knowledge

Python - Skillful
Apache Kafka - Basic

Number of years of experience

2

Personality requirements and skills

Are you cut out for the job?

As this is applied research position, we are looking for people with university education - Master's or higher degree either in machine learning related field or in cybersecurity. People with Data Scientist, Computer Science, Data Mining or Statistics background are welcome, ideally with previous work experience in the field. This position is also suitable for experienced software engineers that have at least some experience with machine learning or data science.

We are looking for people with advanced programming skills especially in Python, as we strive for quality code that can be understood easily, and not quick fix-and-forget schemes. Of course, for ML prototypes, it’s expected to produce not-so-nice code, but once a prototype turns out to be successful, a proper rewrite with peer code review should take place.

A big advantage is to have experience with ML frameworks and data science (eg. tensorflow, torch, scikit, pandas, etc.) and big data technologies (hadoop, spark, impala, kafka). Bonus points for a basic understanding of computer security, network security or even reverse engineering.

The appetite for drinks, beers, food and a great time will be saturated on several on- and off-site teambuilding activities, annual Christmas party and a big company party with a cover name 'Zranica'.

Advertiser

Brief description of the company

The beginnings of ESET date back to 1987, when two young programming enthusiasts, Peter Paško and Miroslav Trnka, wrote a program for the detection of one of the world’s first computer viruses. They did not know that they had created one of the most successful antivirus programs in the world – dubbing it NOD. In 1992, together with their mutual friend Rudolf Hrubý, they formally established ESET.

What started as the brainchild of a few friends has evolved into the most valuable international brand of any Slovak company. Today ESET’s NOD32 technology protects over 100 million users across the world.

This success did not come overnight. The company’s global success and growth was given a boost in 1998 with its first “VB100” award from the prestigious Virus Bulletin magazine. Since then, we’ve received this accolade more than 100 times.

Today, over 1,800 employees around the world drive the company’s success – a telling increase from 3 in 1987 and 135 in 2006. Almost 900 of them are based in Slovakia, the home of ESET headquarters.

Throughout the company’s expansion, we have stayed true to the principles on which we were founded, and we remain independent in order to continue to meet new challenges.

Number of employees

1000 and more employees

Contact

Contact person: Ing. Denisa Velebná
E-mail: send CV
ID: 4201632  Dátum zverejnenia: 11.11.2021  Základná zložka mzdy (brutto): 2 200 EUR/month