DimensionLab
10/12/2024
Sme radi, že sme sa stali súčasťou Košice IT Valley a že sme mali možnosť odprezentovať našu firmu na skvelom večierku.
04/03/2024
Tento týždeň som prijal pozvanie do podcastu Grantup, kde ma vyspovedal Tomáš Pavlik a ja som prezradil pár zaujímavostí okolo DimensionLabu, produktu Siml.ai, ktorý vyvíjame, a čo to som prezradil aj o začiatkoch firmy, ako som "bootstrapoval" firmu s využitím kryptomien, ako som dal šancu grantovým výzvam pre náš malý výskumný tím, a všeobecne čo ma inšpirovalo k ceste, na ktorú som sa vydal.
https://grantup.sk/podcast-84-zamestnancom-plati-v-kryptomenach-preco-zmenil-nazor-na-granty/
1️⃣ Apple Podcasts https://buff.ly/3rsvJ0u
2️⃣ Google Podcast https://buff.ly/3rVXeOk
3️⃣ Spotify https://buff.ly/38dnI6b
4️⃣ Youtube https://buff.ly/3uWdmp9
Podcast 84 | Zamestnancom platil v kryptomenách. Prečo zmenil názor na granty? Mišovi už počas štúdia nechýbala podnikavosť, keď vytvoril pre svojich učiteľov matematickú aplikáciu. Po škole založil firmu, ktorú financoval systémom „out of box“ a dnes…
01/07/2022
Yesterday, our founder Michal Takáč attended Slovak University Startup Cup 2022 awards ceremony, where we won AI category with SIML.ai together with StorePredictor and we also took home 1st place overall! If you're interested in how AI can speed-up your physics and CFD simulation more than 1000x, join our private beta waitlist! https://www.siml.ai/
At DimensionLab, our vision is to build tools for discovery, learning and a deep understanding of how the world around us work. We are on a mission towards inventing a next-generation engineering and scientific software products. Engineering and science are fundamental in the evolution of the society. Our goal is to create an unmatched user experience with real-time, interactive experimentation during design and research in product and technology development.
We are looking for an expert in machine learning (mostly deep learning) that is coming from industry or academia with proven track record of exceptional work in this field. You will lead all the processes from data preprocessing, to training models and deploying them to production. You will complement our team and your work will help us create a fundamental architecture for easy-to-use platform for training numerical simulation models used in computational fluid dynamics, structural mechanics and other fields where high-performance numerical simulation is key component for research and development. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
- Understanding engineering and scientific objectives and developing models that help to achieve them, along with metrics to track their progress
- Analyzing recent machine learning and deep learning scientific papers and benchmarking the provided code
- Analyzing the deep learning algorithms that could be used to solve engineering and scientific problems
- Building graph-based deep learning algorithms for use in high-performance numerical simulation
- Building data preprocessing pipelines that transfer simulation timeseries data or real-time data from sensors into graph representations
- Verifying data quality, and/or ensuring it via data cleaning
- Supervising the data acquisition process
- Defining validation strategies
- Defining the preprocessing or feature engineering to be done on a given dataset
Training models and tuning their hyperparameters
- Setting up parallelized and distributed training pipelines leveraging GPUs or TPUs
- Analyzing the errors of the model and designing strategies to overcome them
- Deploying models to production
Skills:
- Proficiency with a PyTorch, experience with PyTorch Lightning is a great bonus
Proficiency with Python and basic libraries for machine learning
- Experience with PyTorch Geometric and other graph-based ML libraries
- Expertise in visualizing and manipulating big datasets
- Familiarity with Linux and Docker
Ability to to optimize ML training and inference pipelines
- 3+ years of industry experience in machine learning or related field, OR 5+ years of academia experience with 3 or more high-impact scientific papers.
- We are looking for proven record of doing exceptional work instead of relying on university degrees or certificates, although having Master’s or a PhD would definitely be great to have under your belt!
You should have strong programming skills and also have an active GitHub profile where you showcase your work which you are proud of!
𝗪𝗵𝘆 𝘆𝗼𝘂 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝘂𝘀:
- Ambitious software product
- Challenging tech-stack
- Startup atmosphere
- Work at the intersection of research and industry
- Work with an experienced team of experts
- Regular code-reviews
- Challenging tech-stack
- Available as fully remote position
- 25 vacation days
We’re working remotely but we will be opening our own offices with coworking space and a hackerspace in the heart of Košice (January 2022), so you’re encouraged to meet in-person whenever you like!
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Kosice
04001