Machine Learning Engineer

Hiya!

Here at Kape Technologies, we help people around the world protect their digital privacy and stay safe online. The VPNs in our privacy division, CyberGhost, Private Internet Access and ExpressVPN are market leaders, always setting new standards in the industry.

Fueled by enthusiasm and determination, we aim to ensure anyone can be anonymous online, and we are proud to make the digital world a bit safer every single day.

We are looking for an ambitious colleague to join our mission of making privacy and security simple and accessible to anyone.

As a Machine Learning Engineer you will:

• Design, develop and implement specific ML algorithms;
• Design and develop ML Systems;
• Maintains ML back-end process;
• Analysis of complex databases to extract relevant information;
• Creates and implements new algorithms based on statistical data;
• Performs data science and data processing tasks;
• Research and implement the best techniques for improving the existing ML Infrastructure;
• Revise the technical and functional specifications of the information systems and implement them in the process of modifying or adapting the hardware and software solutions;
• Deploys and integrates ML solutions

Ideal Candidate

Must have:

• Minimum 2 years experience in a previous Machine Learning/Data Scientist role;
• Good knowledge of Python and OOP;
• Familiar with libraries and frameworks like pandas, NumPy, spacy, sci-kit-learn, and Keras
• Knowledge of MySQL or other relational database management systems;
• Has experience in using Unix based operating systems;
• Has good knowledge of Machine Learning algorithms(SVM, Naïve Bayes, RandomForest, etc.), analysis, and statistics;
• Knowledge of data structures, software engineering, and architecture;
• Experience with maintaining, monitoring, and updating models in production;
• Previous experience with clustering/data mining;
• Able to develop an end to end Machine Learning project;

Nice to have:

• Experience with models deployment using AWS or other cloud platforms;
• Knowledge of NoSQL databases;
• Published research papers for different Machine Learning topics;
• Previous experience with NLP

What we bring to the table: 

• A fun, flexible and relaxed work environment
• The chance to be part of an awesome, fun, high-performance team
• A fast-growing company environment, which also means huge personal growth potential and new, challenging projects to work on
• Support in adapting to the privacy and security industry and learning how to make the most of it
• Constant training, both in using tools and assimilating new knowledge
• Positive employee experience (online/indoor/outdoor events, social responsibility activities, etc.)
• Attractive salary package
• Wide range of benefits (medical subscription, flexible benefits, gifts, gym on the premises)
• A supportive and inclusive team, a pleasant working environment
• Central office location.

Hiring process

When it comes to hiring processes, “rigorous” and “opaque” are often mistakenly conflated. For us, it’s always a mutual exchange, so we think it’s important that candidates have a clear understanding of the process and what we’re looking for. Learn more about the hiring process by visiting our careers page.

Benefits

Health and happiness go hand in hand, and we make every effort to support our team members in all facets of their lives—both inside and outside the office. Learn more about our employee benefits by visiting our careers page.

Before you apply

• At the moment, we do not sponsor visas in the UK and the EU. For Hong Kong, we require at least two years of working experience and a university degree in a related field. For Singapore, we can only sponsor visas for mid-career or above.
• Please upload your resume as a PDF and do not include any salary or compensation information in it.

ExpressVPN is one of the world’s leading providers of online privacy and security services for consumers. Started in 2009, we’ve grown to have millions of active paying customers, a team of more than 700 people worldwide, and a brand recognized by hundreds of millions of people in 18 languages and more than a hundred countries. We see huge growth in our industry, and are gaining market share through strong execution.

Please note that all offers are subject to reference checks from one or more of your former managers/colleagues. For your current manager, we understand that every company has distinct HR practices, and will only speak with them at a mutually agreed-upon time that works for you