AI Researcher

Job not on LinkedIn

đŸ”„ 8 minutes ago

đŸ‡”đŸ‡± Poland – Remote

đŸ’” zƂ25k - zƂ35k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

đŸ‘» Ghost score 0%

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Logo of TRAX

TRAX

51 - 200 employees

đŸ’Œ Consulting

📩 Logistics

🚀 Aerospace

Consulting ‱ Logistics ‱ Aerospace

TRAX is the undisputed leading provider of aviation maintenance mobile and cloud ERP solutions. Over 200 customers have purchased the eMRO, Trax M&E, and eMobility apps products for their fleets consisting of various types of aircraft including Airbus, Boeing, Bombardier, Embraer, and rotorcraft. Customers include defense and commercial airlines, as well as Maintenance, Repair, and Overhaul shops. TRAX eMRO and eMobility are positioned at the leading edge of industry developments with products that support digital signatures, paperless Workpacks and manuals, RFID-capable for logistics, Biometric security, off-line capability for mobile apps, web-based solutions, and the ability for its users to work anywhere with easy access to real-time information.

📋 Description

‱ Train, fine-tune, and evaluate deep learning models and Vision-Language Models for fine-grained retail scene understanding and product recognition ‱ Design and implement features combining computer vision and computer graphics for interactive Augmented Reality workflows ‱ Profile, optimize, and quantize algorithms for latency- and memory-constrained edge hardware ‱ Work with multimodal LLMs, VLMs, and advanced prompting techniques to create automated recognition tools ‱ Enhance and optimize algorithms for efficiency, robustness across varying store conditions, and global scalability ‱ Benchmark, test, and evaluate ML models against real-world retail datasets for accuracy and reliability ‱ Develop visual and multimodal architectures and ship production-grade solutions deployed across thousands of stores globally

🎯 Requirements

‱ 3+ years of hands-on experience developing and deploying Machine Learning and Deep Learning models in production or applied R&D environments ‱ Strong understanding of classical and modern computer vision ‱ Linear algebra, calculus, and mathematical foundations required for 2D/3D geometry and spatial graphics ‱ Practical experience working with modern LLMs/VLMs and prompt engineering techniques ‱ High proficiency in Python and deep learning frameworks; Keras, TensorFlow, and JAX preferred ‱ Strong problem-solving ability to adapt complex academic/R&D concepts into robust production features ‱ Comfortable collaborating daily in English, written and verbal, in a distributed international team ‱ Experience with AR frameworks such as ARKit or ARCore, or computer graphics pipelines such as OpenGL, WebGL, or game engines ‱ Familiarity with optimizing models for edge devices and inference runtimes such as CoreML or TFLite ‱ Prior experience in retail analytics, planogram compliance, or fine-grained object recognition

đŸ–ïž Benefits

‱ Full remote or hybrid work from the cozy office in Krakow ‱ Option to enroll in a medical package on preferential terms ‱ Subsidized English language courses ‱ Company-provided work equipment ‱ Opportunities for internal growth and career development ‱ Access to internal learning resources

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