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Data Scientist

Reads like a ML Engineer role: putting models into production.

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Implement a machine learning algorithm that generates floorplan layouts inside a given shape

  • Conduct research to improve the algorithms currently in use

  • Develop quantitative benchmarks to evaluate algorithm quality

  • Create research roadmaps with budgeting

  • Keep up with state-of-the-art machine learning technology

From the employer’s posting
Implement a machine learning algorithm that creates floorplan layouts automatically inside a given shape.
conducting research that will lead to improvement of algorithms currently being used
develop quantitative benchmarks that will help evaluate quality of algorithms
creating research road maps with budgeting
staying up to date with state of the art machine learning technology

What you’ll bring

All qualifications

Core experience

  • Master's degree from a top university or a PhD
  • Math skills in geometry and numerical analysis
  • Machine learning expertise
  • Computational complexity theory
  • Python with PyTorch or sklearn
Qualification wording
You need to have a Masters from an outsdanding university or a PhD to apply to this position.
math (geometry and numerical analysis)
machine learning
computational complexity theory
python / pytorch / sklearn
Education & alternatives
QUALIFICATIONS: You need to have a Masters from an outsdanding university or a PhD to apply to this position. Additional Information
Apply at Visuary

Posting record

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Open 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 3, 2026126 days ago
Recorded sightings
44
Last seen by us
Nov 5, 2026
Employer says posted
Dec 29, 2022

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 126

Up longer than most. Similar jobs usually come down between day 6 and day 70.

From 4,523 similar postings that came down. Coming down is not always a hire.

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  • Python
  • PyTorch
  • scikit-learn
Where the posting names them
- computational complexity theory - python / pytorch / sklearn YOUR RESPONSIBILITIES:

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Job Description

MISSION:
- Implement a machine learning algorithm that creates floorplan layouts automatically inside a given shape.
There has been some research around this topic and there is existing literature.

YOUR COMPETENCES:
- math (geometry and numerical analysis)
- machine learning
- computational complexity theory
- python / pytorch / sklearn

YOUR RESPONSIBILITIES:
- participating in the creation of a tool that changes the way we build new flats
- creating research road maps with budgeting
- staying up to date with state of the art machine learning technology
- conducting research that will lead to improvement of algorithms currently being used
- develop quantitative benchmarks that will help evaluate quality of algorithms
- proactively seek opportunities to improve various aspects of our business by applying scientific approach

 

Qualifications

QUALIFICATIONS:
You need to have a Masters from an outsdanding university or a PhD to apply to this position.

Additional Information

HOW TO APPLY:
Please explain in a few sentences how you intend to implement the algorithm.

We are a startup with ambition, and therefore flexible on working conditions but demanding on the quality of work.

Daily meetings at 10AM UTC. There will be technical tests.

Company Description

VISUARY (visuary.com) is a Paris based start-up aiming to make the construction and personalization of new homes accessible and easier. For this, we are developing a platform that allows buyers to view and personalize their accommodation online and provides insights to the constructors.

We are a team of twelve working fully remote.
You will join a dynamic and international team for a mission where you will have an impact.

We are looking for autonomous and qualified people, wishing to take part in the adventure from its inception, and experience the growth of the company.

Source details

View original posting ↗

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Pay

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Location & working pattern

Paris, IDF, France

VISUARY (visuary.com) is a Paris based start-up aiming to make the construction and personalization of new homes accessible and easier. For this, we are developing a platform that allows buyers to view and personalize their accommodation online and provides insights to the constructors. We are a team of twelve working fully remote. You will join a dynamic and international team for a mission where you will have an impact.
Work authorization

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