About the Role:
Our R&D team builds cutting-edge visual intelligence for the global retail industry, analyzing complex in-store scenes and dense shelf environments across major markets worldwide. We combine deep learning, modern Vision-Language Models (VLMs), and generative AI to extract real-time understanding from retail imagery at massive scale.
Recently, we expanded into Augmented Reality (AR) - merging machine learning, 2D/3D geometry, and computer graphics to deliver interactive, spatial experiences directly onto edge devices. As an AI Researcher on this team, you will focus on solving non-trivial algorithmic challenges, developing visual and multimodal architectures, and shipping production-grade solutions deployed across thousands of stores globally.
Requirements:
Key Responsibilities:
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Model Development & Optimization: Train, fine-tune, and evaluate deep learning models and Vision-Language Models (VLMs) tailored for fine-grained retail scene understanding and product recognition.
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AR & Spatial Solutions: Design and implement features bridging computer vision and computer graphics, applying 2D/3D geometric principles to power interactive Augmented Reality workflows.
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Edge & On-Device Deployment: Profile, optimize, and quantize non-trivial algorithms for latency- and memory-constrained edge hardware (e.g., mobile devices and embedded systems).
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VLM & Generative AI Innovation: Work hands-on with multimodal LLMs, VLMs, and advanced prompting techniques to create next-generation automated recognition tools.
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Algorithm Refinement & Scaling: Enhance and optimize existing algorithms to ensure high efficiency, robustness against varying store conditions, and global scalability.
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Benchmarking & Rigorous Evaluation: Systematically benchmark, test, and evaluate ML models against real-world retail datasets to ensure top-tier accuracy and reliability.
Requirements & Qualifications:
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Experience: 3+ years of hands-on experience developing and deploying Machine Learning and Deep Learning models in production or applied R&D environments.
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Computer Vision & Math Foundations: Strong understanding of classical and modern computer vision, along with the linear algebra, calculus, and mathematical foundations required for 2D/3D geometry and spatial graphics.
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Multimodal & Generative AI: Practical experience working with modern LLMs/VLMs and prompt engineering techniques.
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Core Tech Stack: High proficiency in Python and deep learning frameworks (Keras, Tensorflow, Jax preferred).
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Research-to-Product Mindset: Strong problem-solving ability to take complex academic/R&D concepts and adapt them into robust, non-trivial production features.
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Communication: Comfortable collaborating daily in English, both written and verbal, in a distributed international team.
Nice to Have:
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Experience with Augmented Reality frameworks (e.g., ARKit, ARCore) or computer graphics pipelines (OpenGL, WebGL, or game engines).
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Edge Computing: Familiarity with optimizing models for edge devices and inference runtimes (e.g., CoreML, or TFLite).
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Prior domain experience in retail analytics, planogram compliance, or fine-grained object recognition.
What We Offer:
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Full remote or hybrid work from our cozy office in Krakow.
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The option to enroll in a medical package on preferential terms.
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Subsidized English language courses.
- Company-provided work equipment.
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Opportunities for internal growth and career development.
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Access to internal learning resources.
Compensation: 25,000 - 35,000 PLN per month. Exact compensation may vary depending on skills, experience, and location within Poland.
City:
Kraków
About FORM:
FORM powers the world’s two billion mobile workers as they change companies and industries for good, with mobile technology that improves execution from the frontline. FORM solutions include the AI-enabled task management platform GoSpotCheck, Trax’s image recognition technology, and FORM OpX, all of which activate and connect teams in the field – with leaders, missions, and each other – so they can deliver success in the enterprise. With more than 25 years of experience, FORM supports 100,000+ global users from some of the world’s more recognizable global brands in 45 countries.