3D Deep Learning R&D Engineer

JOB DESCRIPTION 

We are currently building & deploying our product for large energy customers across the UK and Europe. As a 3D Deep Learning R&D Engineer, you will contribute to the product development efforts of the team. The different activities include – 

  • Understand and familiarize with the Deep Learning models developed within SAMP for panoptic semantic segmentation, as well as the characteristics of the available datasets
  • Train the models and work on the full pipeline to deploy it in production.
  • Design and optimize the performance of ML algorithms for specific 3D sensors, hardware and stack of software technologies
  • Investigate the industrial and academic technological trends on 3D Machine Learning and 3D Deep Learning, sensor intelligence, and related technologies
  • Investigate design approaches, prototype new technology, and evaluate technical feasibility for state-of-the-art ML and DL algorithms
  • You are interested in working with Computer vision problems involving 3D Point Clouds, Images and Mesh datasets 

TECHNICAL SKILLS AND EXPERIENCE 

  • PhD in 3D Computer Vision or Deep Learning related topics
  • You are proficient in Python and can implement algorithms using relevant Machine Learning libraries (TensorFlow, PyTorch, Keras etc.)
  • 3D Deep Learning and Machine Learning algorithms
  • Optimization of GPU algorithms
  • (Optional) Industrial experience in ML development and production level deployment.
  • You have any knowledge about Robotics, 3D Vision for Autonomous cars, Object segmentation or proficiency in C++ (this is a plus, not required)
  • You are proficient in English 

PROFILE AND CULTURE 

  • You are interested in building the first foundations of a fast-growing tech start-up – You have an entrepreneurial culture, willing to take on new challenges with a mission that can evolve quickly over time 
  • You are very curious and you learn fast 
  • You are autonomous and very proactive in proposing solutions 
  • You are open to strong feedback and can adapt quickly 

RECRUITMENT PROCESS 

  • Start date: March 2021 onwards 
  • Duration: CDI 
  • Location: 75013 Paris, Station F 
  • Education Level: PhD
  • Possible partial remote
The personal data collected by means of the forms on this website will be kept and processed by Samp, for reasons of recruitment purposes only. Such data will be kept for a duration of maximum 24 months and processed in accordance with the provisions of the General Data Protection Regulation (GDPR) and any compulsory provisions of applicable data privacy laws. The data will be kept and processed on France. The www.samp.ai website users can exercise their data subject rights by contacting the privacy officer of Samp at privacy@samp.ai
SAMP SAS
Station F
5 Parvis Alan Turing
75013 Paris
France

ABOUT SAMP

Samp is a deep tech startup that helps large industrial facilities successfully go through constant modernization required to meet the fundamental challenges of safety and sustainability.
At Samp, we believe that our ability as a society to collectively transition to a sustainable world first and foremost depends upon how we will manage our large industrial facilities.
We provide software solutions that capture and exposes a reliable 3D model of the facilities to all players, a “Digital Twin”.
We are backed by one of Europe’s leading VC firm – Entrepreneur First – and are based in Station F.

Laurent, our CEO, has a PhD and 15 years of experience in the Energy industry. He has held important positions in companies like ENGIE and Wood Plc. Most recently he was
Technical Director at Dassault Systèmes, in charge of the solutions for the Energy & Materials division.

Shivani, our CTO, has a PhD in Machine Learning from CEA Saclay.
Our team is mentored by a team of advisors composed of senior academic and business experts having occupied executive positions in large energy companies.

SAMP SAS

Station F
5 Parvis Alan Turing
75013 Paris
France