Lead Machine Learning Engineer

About Toughbyte

At Toughbyte we're changing the way companies and developers find each other. By having our own platform and a distributed team of recruiters, we're able to combine automation with a highly personalized service to both candidates and companies we work with. This, together with our culture of experimentation and constant improvement and the promises we make to our clients, ensure that the candidates we work with find the job they want and the companies the talent they need as quickly as possible.

Position

Company

Skyfora combines scientific understanding of tropical storms with computer vision, machine learning and IoT technologies. Skyfora’s power pair of weather intelligence consists of the AI-empowered Tropical Storm Tracker and lightweight weather instruments StreamSondes.

Description

Tasks:

• Applying deep learning on forecasting of various weather phenomena from hurricanes to hyperlocal weather forecasts within a city
• Taking the leadership of such projects and being active in recruiting more talent to the company

Your qualification

• 3+ years of experience in ML
• Experience with Python, Deep Learning, CNN/RNN, PyTorch/Tensorflow
• Working with and building complex datasets
• Knowledge of cloud services such as AWS, GCP or Azure

Will be a plus

• ML frameworks such as SageMaker
• Experience of managing projects, products or teams
• Related work experience
• Interest in the topic and the natural science in general is necessary for you to have the right motivation, but no pre-skills are necessary as these can be learned from the team

What we offer

• Trial period: 6 months
• Flexible and pleasant work environment with a low-hierarchy team
• Fringe benefits
• Stock options

Additional details

Interview process:

1. Intro call with Toughbyte
2. Intro call with the company (30-45 -minutes)
3. The candidate can share some code samples if there are. After that, there might be either a test assignment if needed, or only further discussion