Senior ML/Computer Vision Engineer (вакансія неактивна)

We are looking for an ambitious and motivated Senior ML/Computer Vision Engineer to join product development for our client from the USA.
This platform aims to create a service that will perform object detection on the road. The service will identify various objects and conditions encountered during a trip and send appropriate notifications about these detections. The goal is to enhance road safety and provide real-time information to users about potential hazards or important events that occur while driving.

Requirements:

• Strong Machine Learning Background: Deep understanding of various machine learning algorithms such as CNN, RNN, LSTM, Transformer, and Reinforcement Learning. Proven experience in end-to-end training of deep-learning models
• Project Experience: Hands-on experience with modern deep learning frameworks like Pytorch and Tensorflow
• Computer Vision Expertise: Proficiency in applying computer vision techniques
• Programming Skills: Proficient in Python and Linux. Additional knowledge of C++ and CUDA is a plus, along with experience using AWS
• Mathematical Foundations: Solid grasp of Linear Algebra, Optimization, Statistics, and Algorithms
• Python Development Ecosystem: Familiarity with libraries such as OpenCV, NumPy, SciPy, pandas, and scikit-learn. Comfortable with development in both Linux and Windows environments
• English level — Upper-Intermediate or higher
• Team-work attitude with great communication skills

Responsibilities:

• Working on datasets for models, including data collection, cleaning, and preparation.
• Writing, refining, and training machine learning models to achieve optimal results.
• Building benchmarks to review and analyze model results.
• Working on expanding object detection capabilities, including adding new object classes and improving accuracy.
• Performing other project-related tasks that may arise during work.

We offer friendly working conditions with competitive compensation and benefits including:

• Comfortable working environment
• Friendly team and management
• Free English classes
• Flexible working hours
• 100% paid vacation, 4 weeks per year
• 100% paid sick-leaves
• Medical insurance (50% is paid)
• Corporate and team building events