Deep Learning Research Engineer – Generative AI & Video (F/M)

Veesion is experiencing rapid growth following its successful Series B funding round. This expansion phase requires strengthening our technical foundation and scaling our development capabilities to meet increasing market demands.Veesion leads in retail theft prevention with AI-powered video analytics. We detect shoplifting in real-time and provide actionable data through our deep learning algorithms.

We’re now looking a Deep Learning Engineer to develop computer vision solutions, with emphasis on research skills and coding ability over video experience.

You’ll work independently with technical freedom, incorporating Generative AI in your workflow.

Strong research skills and coding ability matter more than previous video experience.

Missions

• Develop and evaluate innovative methods for detecting intricate human movements in videos.
• Create effective Deep Learning models that function under practical limitations such as noise, time constraints, and limited labels.
• Research multiple approaches through systematic comparison and rapid iteration.
• Code efficiently and strategically - prioritize tasks based on importance.
• Work alongside fellow researchers to determine and pursue develop the most promising scientific directions.

You’re a Great Match If

• You have at least 2 years of experience in Deep Learning (preferably in computer vision)
• You excel at Python and PyTorch
• You demonstrate a solid Deep Learning background (transformers, CNNs, attention, etc.)
• You’re perfectly able to formulate hypotheses, structure research, and explore efficiently.
• You’re comfortable with modern development tools (notebooks, version control, testing, GPU debugging…).
• You have a strong habit or interest in using generative AI as a coding copilot.

Nice To Have

• You’re interested in video or sequential model.
• You have Experience with time series or sequential data
• You’re familiar with video benchmarks (Kinetics, Something-Something, etc.)

Why This Role is a unique opportunity

• You’ll work on a real scientific challenge on real-world data, with strong innovation needs.
• You’ll be confronted to minimal technical constraints, high research freedom.
• You’ll have the ability to move fast and test ideas with low friction.
• You’ll evolve in a deep-tech environment with a dedicated R&D team.

Benefits

• Compensation: 50-70K€
• Swile meal voucher card to make your daily life easier.
• Transportation subsidy: 50% coverage of public transport costs.
• Comprehensive health insurance from day one.
• Inclusive and supportive culture that values diversity, equity, and inclusion.
• Fast-paced, motivating environment with growth opportunities.
• Prime office location in the heart of Paris (Beaubourg).
• Full remote from France.