Internship in 3D Deep Learning

75013 Paris, Station F

JOB DESCRIPTION
We are currently building & deploying our prototypes for large energy customers across the
UK and Europe. As a machine learning engineer intern, you will report directly to our CTO
and support her in the development efforts towards our initial prototypes.
As an intern in our early stage start-up, you will be in charge of implementing and testing
algorithms for tasks related to deep learning. Depending on your interests & skills, these
tasks will include Data Collection, 2D-3D computer vision tasks, unsupervised learning and
scalability of machine learning algorithms. You will be working on images and cloud of points
datasets. As a deep tech start-up, we are looking for strong computer science skills and
passion for programming.

TECHNICAL SKILLS AND EXPERIENCE
  • You are currently obtaining or already have a Masters degree or a degree from a leading engineering school
  • You are proficient in Python, and can implement algorithms in Tensorflow
  • You understand the whats and hows of deep learning (CNNs, training procedure)
  • You are interested in working with Computer vision problems involving 3D Point Clouds, Images and Mesh datasets
  • You are interested in reading research papers and applying their principles to real world problems
  • 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 2020 onwards
  • Duration: 4-6 months
  • Location: 75013 Paris, Station F
Perks: Station F perks (tons of negotiated deals: gymlib, adidas, etc…), unlimited coffee,
huge budget for cloud computing)
If interested: please apply for this job specifying your start date with an attached resume and any link to your previous work (Github / Bitbucket / Kaggle…)

ADDITIONAL INFORMATION

Contract Type: Internship (Between 4 and 6 months)
Start Date: March 2020 onwards
Location: Paris, France (75013)
Education Level: Master’s Degree
Experience: < 6 months
Possible partial remote
Competitive Salary
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