• Full-time Position
  • IT Department
  • No Remote Working
  • Zurich, Switzerland Location
  • 80k to 120k Salary
  • 0.5% to 5% Equity
  • deep learning, High Performance Parallel Computing, Machine leanring, Python, TensorFlow Needed Skills

Your responsibilities:

Develop new deep learning architectures. Optimize real-time highly-parallelized machine learning pipelines. Orchestrate data collection on a large scale to address specific research needs.

Your skills:

• TensorFlow, Python. • Be up to date with the latest ML/DL techniques and practices. • Desirable: Knowledge of both, the software and the hardware behind running deep learning efficiently.

What you'll get:

• Work on challenging problems with direct industrial application. • Access to our advisory board in ETH and of industry experts. • You'll have as much responsibility and ownership as you can handle. • Access to high-performance workstations with top-of-the-line GPUs and Nvidia Jetson family. • Get into a start-up with lot of potential, which has all the positive signals going for it:

  • Won prizes
  • Renown industrial & academic partners
  • Cool team and location
  • Generous equity offering

This position can be filled as full-/part time. Co-founder position still available.

Apply for this position

To apply for this position contact the creator of the job: Message Alex Garcia

About AI Retailer Systems

Can you imaging to go shopping any time of the day or night without having to queue at the checkout and to pay with a simple click? That's our ultimate goal, to improve the shopping experience while helping retailers to expand their opening hours, increasing revenues and reducing operational costs.

To achieve our goal, we are developing a solution which relies on computer vision and machine learning. We use installed surveillance cameras to monitor in real time the products customers are picking up. In addition to enabling the payment of purchases, we provide retailers with insights only available in the e-commerce industry.

We have won two prizes and received very positive feedback from the market and investors. Now we are growing the team to reach the next milestones. Are you ready?