Machine Learning Engineer (Computer Vision)

Join Snap Inc. as a Machine Learning Engineer in Computer Vision

Snap Inc. is seeking a talented Machine Learning Engineer to join our Research & Development team in Vienna, Austria. This role is pivotal in developing cutting-edge machine learning technologies that bridge the gap between the real and virtual worlds through Snap’s next-generation wearable computing devices.

What You’ll Do

• Develop Novel Technologies: Work on the next generation of wearable AR devices by exploring and advancing state-of-the-art machine learning and computer vision algorithms.
• Model Development and Deployment: Develop and deploy machine learning models, collaborating with cross-functional engineering and research teams in computer vision, machine learning, and graphics.
• Collaborate Globally: Work closely with Snap’s hardware and software teams worldwide to integrate innovative solutions into our products.

Knowledge, Skills & Abilities

• Deep Understanding of Machine Learning: Expertise in machine learning principles, solutions, and frameworks to develop networks and models for computer vision tasks.
• Technical Proficiency: Ability to understand, debug, and improve existing code, as well as develop new algorithms using advanced computer vision and machine learning techniques.
• Communication Skills: Strong communication and interpersonal skills, with a passion for learning and helping colleagues improve.

Minimum Qualifications

• Educational Background: Bachelor’s degree in a technical field such as computer science, mathematics, or equivalent experience.
• Experience: 2+ years of research or engineering experience with machine learning approaches in areas such as object detection, hand/body tracking, object pose tracking, and scene understanding.
• Technical Skills: Experience with machine learning frameworks like PyTorch and TensorFlow, as well as cloud environments such as Google Cloud and AWS. Proficiency in software development using Python or C++.

Preferred Qualifications

• Advanced Degree: MSc in a related field (Computer Vision, Machine Learning).
• Optimization Experience: Experience with neural network optimization techniques such as pruning, quantization, and distillation for deploying efficient models on resource-constrained devices.
• Geometric Computer Vision: Experience in areas like multi-view 3D reconstruction, SLAM, tracking, and depth estimation.

Snap Inc. Culture

At Snap Inc., we believe in the power of diversity and inclusion. We are committed to creating a workplace where diverse backgrounds and voices are not only heard but celebrated. Our "Default Together" policy encourages in-person collaboration to foster a dynamic and innovative culture.

Benefits

Snap Inc. offers a comprehensive benefits package designed to support you and your loved ones. This includes paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and competitive compensation packages that allow you to share in Snap’s long-term success.

Join us in Vienna and be part of a team that is shaping the future of how people live and communicate through technology.