Position: Machine Learning Engineer with Computer Vision
Company: ITS
Category: Other
Experience required: 2y
English level: intermediate

ITS develops products powered by the Internet of Things (IoT) technologies. Our development effort is behind the success of one of the World’s best internet connected cameras, Arlo.

As a computer vision / machine learning engineer at Arlo Technologies, you will design and develop algorithms, detection models, and software for advanced video and audio analytics features for Arlo’s Smart Home devices. This area comprises both deep learning and traditional machine learning or computer vision techniques and algorithms. Specific areas of interest include motion detection, object detection and tracking, action recognition and video understanding, facial and biometric recognition, reidentification, audio recognition, natural language, and others. 

**Required skills and experience:**
Expertise in computer vision and machine learning. 
Working experience in software development in company or startup. 
Advance knowledge of TensorFlow, PyTorch, MXNet frameworks. 
Experience in using OpenCV. 
Familiarity with state of the art for computer vision. Strong knowledge of at least one of the following approaches: CNNs and deep learning, SVM, Bayesian Networks, boosting, feature based detection (SIFT/SURF family), object tracking, video analytics, audio analytics.
Strong fluency in C++ and/or Python. 
Experience in using development tools such as GIT. 
Good verbal and written communication skills. 
Ability to work independently.

**Your responsibilities will include:**
Designing models for achieving specific video or audio analytic goals. 
Performing model training and optimization. 
Designing and implementing algorithms for performing a variety of computer vision or audio related tasks. 
Creating/modifying software and tools for implementing your algorithms and models on cloud infrastructure and edge devices. 
Working with data engineers to wrangle datasets to train and test your models. 
Working with a team of software and hardware engineers to deploy the software and tools that you have developed. 
Working with product marketing teams to help productize product features in a compelling fashion, understand customer feedback and define new iterations of product features.

**Why you will be interested in our company:**
You can work in a "live" project
Flexible work schedule, no time tracking in JIRA, etc.
Fast recruitment process without test tasks and endless interviews.
Individual professional growth plan
Interesting technical challenges and experience with Silicon Valley standards; 
Trips to other offices of the company to exchange experiences 
Quarterly awards for achievements 
Paid sick leave, annual leave 
Free English language training 
Access to training platforms, compensation for additional courses, conferences, meetups and everything that you need for your personal development.  

**If our project responds to you, send a resume and we will be happy to tell you about the details.**
See you!