Machine Learning SW Engineer

About the Role

Senior Machine Learning Engineer will be responsible for the development for advanced car driver state analysis systems.

What You Will Do

• Work with state of the art neural network models for computer vision and biometrics (face ID, landmark detection, facial embeddings, etc).
• Work with biosignals such as heart rate/ECG
• Work with big car data from a multitude of sensors
• Select statistical, machine learning and artificial intelligence algorithms to solve filtering, clustering and classification problems.
• Handle large-scale data sets and organization of relevant data
• Working closely with other senior machine learning researchers and engineers in autonomy
• As part of a matrix organization work with engineers, designers, testers and managers as needed to help integrate, evaluate and productize your solutions
• Work with architects, engineers, designers, testers and managers in multiple locations as needed to help integrate and productize the solution
• Perform code reviews and other activities to ensure high-quality results
• Elicitate, analysis, write and adapt software requirements

What You Need

• Bachelor's Degree or higher in Physics, Mathematics, Computer Science or related field combined with software engineering and data science experience;
• 2-4 years experience working in the field of machine learning for computer vision;
• Hands-on experience in applied Machine Learning along with deep learning experience with frameworks such as Tensorflow lite, Theano, Keras or Caffee;
• Proficient in one or more relevant programming languages: C++, Python, C;
• Enterprise level documentation skills;
• Experience in software development for real-time embedded software with C or/and C++;
• Basic ASPICE/SOTIF knowledge;
• Experience in requirement management tools e.g. Doors, Polarion;
• Good spoken English.

What is Nice to Have

• Experience in 1D signal analysis, anomaly detection;
• Hands-on experience with CNNs, 3D CNNs, multi-task neural networks;
• Understanding of statistics with the usage of the programming language R;
• Advanced knowledge of big data technologies such as Hadoop, Spark, Mahout, ELK;
• Background in Human Factors and globally distributed teams;
• Strong analytical skills together with high self-learning capabilities.

What Makes You Eligible

• Be willing to travel domestically and internationally;
• Be willing to work in our R&D center in Nizhny Novgorod.

What We Offer

Work in our international team on brand new projects and using cutting edge technologies. Our employees get soft skills’ and technical trainings. We grant a package of additional benefits, such as flexible working time, medical insurance, English classes, HARMAN and Samsung products’ discount program, sport and event programs. We also grant Relocation package for candidates from other cities, composed of monetary bonuses and organizational assistance.