Cluj-Napoca, Romania · On-site
Company Description Life at Grab At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humilit…
Skills: PyTorch, Edge AI Deployment, Computer Vision, Video Action Recognition, Multi-Task Learning
Cluj-Napoca, Romania · Hybrid
Overview At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible. We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our cur…
Skills: Machine Learning, Deep Learning, Large Language Models, Knowledge Graphs, Python
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Lead the development of multi-task learning models and video action recognition systems for edge devices. Deploy computer vision algorithms onto embedded Android platforms using Qualcomm SDKs while optimizing for power and thermal constraints.
Requires a Bachelor's degree in Computer Science or Electrical Engineering with at least 5 years of experience in computer vision and Edge AI. Deep expertise in PyTorch and experience with resource-constrained environments and model optimization are mandatory.
At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we create economic empowerment for the people of Southeast Asia.
The Data Science (Geo Vision) team at Grab focuses on improving the maps and building map-based intelligence such as localization, routing, travel time estimation, and traffic forecasting. We use Computer Vision and conventional machine learning methods on a variety of signals—specifically utilizing edge device footage—to understand our locations and road networks.
We are looking for a Lead Data Scientist / Edge AI Engineer to lead edge development for our edge devices. A key focus will be Multi-Task & Action Recognition Development, where the successful candidate will be responsible for developing and refining multi-task learning models and video action recognition systems for our edge devices.
You will work onsite and will report to the Head of Data Science based in the Cluj Office.
We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity sexual orientation, and other attributes that make each Grabber unique.
Drive Southeast Asia Forward with us.
Grab is Southeast Asia’s leading superapp, offering a suite of services consisting of deliveries, mobility, financial services, enterprise and others. Grabbers come from all over the world, and we are united by a common mission: to drive Southeast Asia forward by creating economic empowerment for everyone. At Grab, every Grabber is guided by The Grab Way, which explains our mission and the operating principles on how we can achieve it together. We call these principles the 4Hs: Heart We work together as OneGrab to serve communities in Southeast Asia Hunger We work to understand ground truths and drive improvements, big and small Honour We keep our word and steward our resources wisely to build and sustain trust Humility We are a constant work-in-progress, and we never stop learning to get better
Offices: 3 Media Close, Grab HQ #01-03/06, Singapore, Singapore 138498, SG · 28 Sin Ming Lane, Midview City #01-143, Singapore, Singapore 573972, SG · 12th Floor Grab Office Wilcon, IT Hub 2251 Chino Roces Ave, Makati, Metro Manila 2251, PH · Unit TB-12, Level 12, Tower B Plaza 33, No 1, Jalan Kemajuan, Seksyen 13, Petaling Jaya, Selangor 46200, MY · H-08-01, Empire City, Menara PHB (Menara H), Empire City, No 8, Jalan Damansara, PJU 8, Petaling Jaya, Selangor 47820, MY
There are currently 22 open science & research positions in Cluj-Napoca, Romania listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Eurofins Viracor, Bosch, Grab, PrimeVigilance, BIOCODEX, among others. Browse the listings above to see every active employer.
Yes — 12 of the 22 open science & research positions offer remote or hybrid work (5 remote, 7 hybrid).
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