5 дней назад
Applied Scientist (Computer Vision)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied Scientist (Computer Vision): Building and deploying scalable computer vision and machine learning solutions for data-driven real estate products with an accent on 3D computer vision, generative AI, and production-quality data pipelines. Focus on designing experiments, monitoring model quality, and translating ambiguous business priorities into reliable model-driven features.
Location: Remote-Germany
Company
is a real estate platform that helps people navigate buying, selling, financing, and renting.
What you will do
- Lead the end-to-end development of computer vision and machine learning solutions, from problem framing and data exploration through modeling and evaluation.
- Develop approaches using 3D computer vision and generative AI with image and video data.
- Design and analyze experiments that measure the impact of model-driven product features.
- Build, validate, and maintain reliable, reproducible data pipelines, features, and model artifacts.
- Monitor production model and data quality, investigate performance issues, and improve accuracy, fairness, and stability.
- Communicate technical findings and trade-offs to technical and non-technical stakeholders while sharing reusable components and mentoring colleagues.
Requirements
- Master’s degree in computer science, statistics, mathematics, engineering, data science, or a related quantitative field, or equivalent experience.
- 5+ years of relevant professional experience applying computer vision, statistical analysis, or machine learning to real-world data problems.
- Experience working with large or complex datasets using Python and common data and machine learning libraries.
- Experience with PyTorch, SciPy/NumPy, and Transformers.
- Experience collaborating cross-functionally to deliver analytical or model-based solutions.
- Must be based in Germany for this remote role.
Nice to have
- Expertise in 3D computer vision and generative methods.
Culture & Benefits
- Remote work from a physical location identified to the company.
- Distributed-work approach with flexibility to work from a productive location.
- Competitive base salary and potential equity awards based on experience, performance, and location.
- Inclusive workplace focused on innovation, professional growth, and customer impact.
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