Machine Learning and Computer Vision Engineer (вакансія неактивна)

Project Description:

Specifically, we use aerial imagery and spectral image processing to monitor crop variables. The primary delivery mechanism for imagery is a web application that allows customers to view the imagery of their fields over time. We help farmers use this data to improve crop management practices like fertilizer application, irrigation schedules, stress/problem detection, and other applications.

Job Description:

We are seeking a ML/CV engineer with 3+ years of science based experience to help the image processing team improve existing workflows and develop new tooling to optimize this platform. The person in this role will work to provide infrastructure to enable rapid iteration and will incorporate new scientific products into production pipelines. They will do so by working closely with local and international engineers and scientists to design, develop and deploy new solutions. It will entail contributing to and working with our machine learning, computer vision, data collection, and distributed systems code bases. Initial projects include but are not limited to automated image masking to remove clouds from individual images, improving image georegistration outputs and developing better land cover models.

Responsibilities:

• Develop new tools to simplify and streamline workflows to increase productivity.
• Support ongoing developments by making them easier and scalable.
• Apply advanced knowledge of data extraction/processing and build complex modeling features.
• Maintain clear communication with team members to ensure user and technical issues are resolved promptly.

Requirements:

Required competencies:

• At least 3 years of relevant development experience
• Proficiency in Python
• Strong knowledge and proven experience with Machine Learning
• Expertise in using computer vision and deep learning tools: PyTorch/Tensorflow, OpenCV, etc.
• Familiar with AWS/Google Cloud-based (S3/EC2/EMR and Compute/Storage/Dataproc) tooling for data science and ML pipelines
• JupyterHub
• Strong communication skills

Nice To Have:

• Understand photogrammetric processing
• GIS knowledge
• Experience with QGIS /ArcGIS software

Employee benefits:

• Comfortable office within walking distance of a metro station
• Flexible schedule: 8-hour work day with opportunity to work remotely
• Two weeks of paid vacation
• Competitive salary and regular performance reviews
• Work closely with an international team

Are you a good fit? Send us your CV in English. We are waiting to hear from you!