Great work environment that balances freedom and responsibility
We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year
Company computer equipment by request
English classes on our corporate platform
Offline company events in Lithuania and online team-building
Employment type
Contractor
From the employer’s posting.
About Planner5d
Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!).
Open 6 monthsWe first saw this posting 204 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
Apr 14, 2026204 days ago
Recorded sightings
139
Last seen by us
Nov 4, 2026
Employer says posted
Mar 16, 2026
Apr 14, 2026today
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 204
669
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
NumPy
pandas
PyTorch
SciPy
TensorFlow
Where the posting names them
- Experience working with real-world datasets, including data exploration, cleaning, feature extraction, and experimental validation.
- Proficiency in Python and common scientific/ML libraries (NumPy, SciPy, Pandas, etc.).
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Proficiency in Python and common scientific/ML libraries (NumPy, SciPy, Pandas, etc.).
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with computer vision or multimodal AI (images, video, 3D data such as point clouds and meshes).
Yes. We’ve followed one other AI / Machine Learning Researcher job there since April 2026. It is still up.
This jobUp 204 days so far, first seen Apr 14
WarsawStill up after 203 days, first seen Apr 15
Apr 14Today
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.
Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone.
Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users. Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market.
We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design.
We are searching for an AI / Machine Learning Researcher to join our AI team and focus on applied research for real-world product challenges. You will work with raw data, explore new approaches, formulate and test hypotheses, and build prototypes and MVP solutions that can later become production features within the Planner 5D platform.
You will:
Conduct applied research in AI/ML to solve real-world problems related to home design, 2D/3D data, and visual understanding.
Work with raw and unstructured data (images, 3D point clouds, text, video) to identify useful signals and formulate research directions.
Generate and test hypotheses through experiments, modeling, and data analysis.
Design and implement prototypes and MVP solutions, validating ideas before production implementation.
Train, evaluate, and iterate on machine learning and deep learning models.
Contribute to the development of AI-driven features, including computer vision systems and AI agents.
Collaborate with engineers to translate research prototypes into production-ready solutions.
Provide algorithm-level support for deployed models, improving and adapting them as new data or requirements emerge.
Requirements
4+ years of experience in AI/ML research or applied machine learning.
Strong background in mathematics and computer science, including statistics, optimization, linear algebra, and algorithms.
Solid understanding of machine learning and deep learning methods.
Experience working with real-world datasets, including data exploration, cleaning, feature extraction, and experimental validation.
Proficiency in Python and common scientific/ML libraries (NumPy, SciPy, Pandas, etc.).
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with computer vision or multimodal AI (images, video, 3D data such as point clouds and meshes).
Ability to independently formulate research hypotheses, design experiments, and evaluate results.
Strong analytical thinking and ability to solve complex problems with limited prior solutions.
Nice to have
Experience with 3D data processing (point clouds, meshes, spatial data).
Experience building or experimenting with AI agents or LLM-based systems.
Experience training and fine-tuning neural networks.
Interest in geometry, graph theory, or computational geometry.
What we offer:
- Great work environment that balances freedom and responsibility
- Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge
- We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year
- Company computer equipment by request
- Education courses for our team members, and we're willing to allocate funds toward your training expenses
- English classes on our corporate platform
- Offline company events in Lithuania and online team-building