Job Description

Are you passionate about the frontier of AI and machine learning? Do you thrive on building systems that can perceive, understand, and respond to the complexities of the real world? As an ML Engineer - Perception Foundation Model, you will be at the heart of our mission to create cutting-edge AI systems that redefine the boundaries of perception.

In this role, you will be responsible for designing, developing, and optimizing foundation models that power visual and sensory understanding. Your work will enable transformative applications across industries—from autonomous systems and smart devices to next-gen digital assistants. Join a team of innovators where your ideas and skills will shape the future of AI!

???? What You’ll Do

• Architect Foundation Models: Design and develop large-scale neural networks for perception, ensuring efficiency, scalability, and adaptability across various domains.
• Enhance Multi-Modal Capabilities: Build models that integrate visual, sensory, and contextual data to achieve state-of-the-art performance.
• Optimize Pipelines: Improve the training, inference, and deployment processes for perception systems to deliver real-world impact.
• Collaborate on AI Research: Work closely with researchers to incorporate the latest innovations in ML, computer vision, and natural language processing.
• Solve Real-World Challenges: Deploy foundation models into practical applications, ensuring accuracy and robustness in diverse environments.

???? What We’re Looking For

• Educational Background: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field—or equivalent experience.
• Technical Expertise:
  • Proficiency in Python and ML frameworks like TensorFlow or PyTorch.
  • Experience with foundation models in perception, including vision transformers (ViT) and convolutional neural networks (CNNs).
  • Familiarity with multi-modal learning and data fusion techniques.
• Applied Experience: Proven ability to develop and optimize perception models for tasks like object detection, segmentation, and scene understanding.
• Creative Problem-Solving: A track record of addressing complex AI challenges with innovative solutions.
• Team Player: Strong collaboration skills and the ability to thrive in a dynamic, interdisciplinary environment.

???? Why Join Us?

• Innovative Work Environment: Be part of a team that values creativity, cutting-edge technology, and meaningful impact.
• Global Reach: Your work will drive transformative change across industries and geographies.
• Learning & Growth: Access resources, mentorship, and opportunities to grow as a leader in the ML space.
• Competitive Benefits: Enjoy a comprehensive package that includes health, wellness, and work-life balance perks.