AI / Machine Learning Researcher
Warsaw
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Contract — employment source
Employment type Contractor
Employment type in the employer’s posting: Contractor
From the employer’s posting
What you’ll work on
Full postingRun applied research on home design problems using 2D/3D data and visual understanding
Work with raw, unstructured data such as images, point clouds, text and video
Design and build prototypes and MVPs to validate ideas before production
Train, evaluate and iterate on machine learning and deep learning models
Work with engineers to turn research prototypes into production-ready solutions
From the employer’s posting
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)
Design and implement prototypes and MVP solutions, validating ideas before production implementation.
Train, evaluate, and iterate on machine learning and deep learning models.
Collaborate with engineers to translate research prototypes into production-ready solutions.
What you’ll bring
All qualificationsCore experience
- 4+ years of experience in AI/ML research or applied machine learning.
- Experience with 3D data processing (point clouds, meshes, spatial data).
- Solid understanding of machine learning and deep learning methods.
- Experience building or experimenting with AI agents or LLM-based systems.
- Experience working with real-world datasets, including data exploration, cleaning, feature extraction, and experimental validation.
- Experience training and fine-tuning neural networks.
Qualification wording
4+ years of experience in AI/ML research or applied machine learning.
Experience with 3D data processing (point clouds, meshes, spatial data).
Solid understanding of machine learning and deep learning methods.
Experience building or experimenting with AI agents or LLM-based systems.
Experience working with real-world datasets, including data exploration, cleaning, feature extraction, and experimental validation.
Experience training and fine-tuning neural networks.
Tools in this posting
- Python
- NumPy
- pandas
- PyTorch
- SciPy
- TensorFlow
Source — Tool mentions in context
- 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).
Benefits in the posting
Full benefits wording- 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!).
In the employer’s words · Read in context
Posting record
Report an errorOpen 6 monthsWe first saw this posting 197 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 15, 2026 · 197 days ago
- Recorded sightings
- 129
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Mar 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
About us:
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
- Unlimited free Planner5D subscriptions
Employment type
Contractor
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warsaw
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- Work authorization
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