3D Computer Vision R&D Engineer

JOB DESCRIPTION

We are currently building & deploying our product for large energy customers across the UK and Europe. We are looking for a researcher-engineer in 3D Computer Vision who is excited to solve interesting challenges in the 3D algorithms and Machine Learning. You would be working with 3D Point clouds datasets of large industrial facilities. The deployment of AI workflows is an important cornerstone of the product. So this job includes regular interaction with the team of software engineers and customers. Moreover you would be provided with an opportunity to interact with the academic advisors. It is an excellent chance to deploy your knowledge to a product that would directly benefit the daily operations of the users.

As a machine learning Engineer, you will contribute to the product development efforts of the team. The different activities would include –

  • Develop innovative algorithms for various problems in 3D data processing ranging from 3D Template Matching to 3D Reconstruction.
  • Special focus on Scalability and adaptation of existing approaches to extremely large datasets.
  • Investigate design approaches, prototype new technology, and evaluate technical feasibility for state-of-the-art ML and DL algorithms.
  • Major focus on working with real industrial datasets in various modalities including Point clouds, CAD models and Images. 
  • Basic knowledge of 3D Deep Learning approaches and Graph Deep Learning architectures.
  • Investigate the industrial and academic technological trends on 3D Machine Learning and 3D Deep Learning, sensor intelligence, and related technologies.

PREFERRED EXPERIENCE

  • PhD in 3D Computer Vision and related topics
  • Primitive Fitting and Template Matching in Point cloud data (Methods like TEASER and RANSAC)
  • Rigid body transformations in Point cloud
  • 2D/3D robust feature tracking
  • Multi-sensor fusion
  • You are proficient in Python and can implement algorithms using relevant Machine Learning libraries (TensorFlow, PyTorch, Keras etc.)
  • Culture in 3D Deep Learning and Machine Learning algorithms
  • You are proficient in English

OPTIONAL SKILLS 

  • 3D perception and Error modelling on lidar sensor data
  • Industrial experience in development and deployments at production level

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 autonomous and very proactive in proposing solutions
  • You are open to strong feedback and can adapt quickly

ADDITIONAL INFORMATION

  • Contract Type: Full-Time
  • Start Date: March 2021 onwards
  • Location: Paris, France (75013)
  • 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