Machine Learning Engineer

At HubX we build mobile apps, used and loved by millions all around the world.

We have a track record of building and growing mobile apps on various verticals that reached over 100 million users across 6 continents and 160 countries.

We are looking for a talented “Machine Learning Engineer” to join our energetic and highly motivated team.

As a talented “Machine Learning Engineer” you’d probably land an interview with many companies if you wanted to, so why choose us?

First, we offer you an opportunity to make a huge impact in the lives of millions of users through our products, and even the mobile app industry at large in the next years to come.

• Development of efficient mobile and web models
• Prototyping algorithms and applications in Python, C/C++
• Understanding the constraints of mobile and web systems and use that understanding to deliver feasible and efficient algorithms
• Identifying areas of differentiation and innovation around the mobile camera by leveraging new and existing AI, vision, and deep learning algorithms and vision-based user interfaces
• Deployment and maintenance of ML models on the web and mobile devices securely
• Developing computer vision and machine learning technologies for prototyping and deployment on cloud, mobile devices, and web
• Bringing machine learning models developed in PyTorch, Keras, Tensorflow and/or others from large-scale application to production
• Development of visual ml models like Semantic segmentation, Landmark detection, and object detection
• Productizing the CV/ML algorithms into product features, with support and guidance from other system engineering teams

• 5+ years of total work experience or Ph.D., MSc in Computer Science/Electrical Engineering/Computer Engineering with 2+ years of experience
• Understanding of mathematical optimization and underlying implementation of modern neural network architectures
• Strong math and research experience in computer vision, computer graphics, machine vision, or image/video processing
• Extensive experience in one or more deep learning frameworks
• Hands-on experience in one or more of the following areas: object detection/recognition/tracking, 3D vision, deep learning/CNN, semantic segmentation, GAN, optical flow/depth estimation, camera calibration, registration/reconstruction/modeling
• Experience in implementing efficient algorithms for CPU and GPU
• Experience in Python, OpenCV
• Experience in Keras/TensorFlow or Pytorch

We would like you to focus on what you do best, we take care of the rest.

• Huge impact: Your work can significantly impact our millions of users, and even the mobile app industry at large in the next years to come.
• A competitive compensation package: A competitive compensation package: Our total compensation package is very comprehensive; covering your cost of commuting for our headquarter as well as providing you with a meal card.
• A unique and top-notch office: Our well-designed office is in the tallest building in Izmir. Every day, you can enjoy the sunset over The Gulf of Izmir without leaving your deck.
• Our HQ Location: You can come to our office or work wherever you want. If you choose the on-site option, keep in mind that it’s still fine to sometimes work remotely.
• Unlimited coffee & green smoothies from XPresso: We’ve built our own café inside our office so you can grab your coffee from XPresso and start your day off on the right foot.
• Opportunity to take responsibility from day one: No one will micromanage you. Together with your team, you’ll be free to choose a direction, test, fail, and test the next idea.
• Flexible schedule: Our regular hours are 9-6 GMT+3, but this isn’t a “clock in, clock out” company. You’re fully trusted to create the right conditions for your own personal peak productivity.
• Continuous education:The more you want to improve your knowledge, the more we support you!
• Strong company culture: Our approach is always open communication & teamwork
• Private Medical Insurance: We go above and beyond for your health
• Gym Reimbursement: We support annual gym membership because we want you to be in tip-top shape psychically and mentally.
• A brand new Macbook