Aktuelle Jobs im Zusammenhang mit Staff Machine Learning Engineer, CV - Wien, Wien - Snap Technology GmbH
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Computer Vision/Machine Learning Engineer
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Machine Learning Operations Engineer
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Staff Machine Learning Engineer, CV
vor 2 Monaten
About Snap Technology GmbH
Snap Technology GmbH is a leading technology company that specializes in developing innovative products and services that enhance the way people live and communicate. Our mission is to empower individuals to express themselves, learn about the world, and have fun together.
Job Summary
We are seeking a highly skilled Senior Machine Learning Engineer to join our R&D team in Vienna, Austria. As a key member of our engineering team, you will be responsible for developing state-of-the-art machine learning technologies to straddle the boundaries between the real and virtual worlds with the next generation of Snap's wearable computing devices.
Key Responsibilities
- Hold a core position in cross-functional engineering team.
- Develop novel technologies for the next generation of wearable AR devices.
- Follow cutting-edge research, explore and advance state-of-the-art machine learning and computer vision algorithms.
- Prototype, develop, and deploy new machine learning models.
- Work together with our engineering and research teams in computer vision, machine learning, and graphics.
Requirements
- Very deep understanding of machine learning principles, state-of-the-art solutions, and frameworks to develop networks and models for computer vision tasks.
- Ability to understand, debug, and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.
- A genuine passion to drive tasks, lead efforts, help colleagues improve, and learn new things.
- Strong communications and interpersonal skills.
Preferred Qualifications
- MSc or PhD in related field (Computer Vision, Machine Learning).
- Experience in geometric computer vision such as multi-view 3D reconstruction, SLAM, tracking, depth estimation, etc.
- Experience with neural network optimization (pruning, quantization, distillation) to deploy efficient models to resource-constrained devices.
- Experience with CV/ML engineering for a SW/HW product.
What We Offer
At Snap Technology GmbH, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. We offer a comprehensive benefits package, including paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success.
Equal Opportunity Employer
Snap Technology GmbH is an equal opportunity employer and is committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.