Senior Computer Vision / Deep Learning / Custom LLMs Engineer

This is a position for a client of SIMBIZ.

Summary

We're hiring a Senior Computer Vision / Video Processing / LLM Engineer for a fast-moving startup working on next-generation AI solutions with real-world impact. This role offers the opportunity to lead and contribute to the development of advanced video-based AI/ML models, combining cutting-edge computer vision, deep learning, and LLM technologies in a highly technical and mission-driven environment.

Success in this role means driving key R&D efforts from concept to production, collaborating across teams, and helping shape intelligent systems that bridge video understanding and language modeling.

Responsibilities

• Lead the development of novel AI/ML solutions combining video processing and LLMs.
• Design and implement production-ready algorithms for object detection, action segmentation, 3D reconstruction, and more.
• Build hybrid solutions combining classic computer vision methods with LLM/vLLM models.
• Explore and solve challenges in multi-modal AI domains involving vision, language, and behavior understanding.
• Collaborate with cross-functional team members (engineering, product, and research) to deliver high-impact product capabilities.

Qualifications

Required Skills & Experience:

• Minimum 5 years of hands-on experience in computer vision & video processing:

1. Image preprocessing, feature extraction
2. Object detection & classification
3. Action segmentation and pose estimation
4. Emotion analysis and 3D reconstruction

• At least 5 years of experience with machine learning and deep learning methods.
• At least 1 year of experience working with or developing custom LLMs.
• Deep knowledge of modern DL architectures: CNNs, RNNs, Transformers, etc.
• Proven experience with supervised and unsupervised learning.
• Strong coding skills in Python and experience with frameworks such as PyTorch, TensorFlow, and Transformers.
• Familiarity with computer vision tools and libraries such as OpenCV, as well as point cloud and mesh processing.
• Experience working with cloud-based ML platforms (e.g., AWS SageMaker, Vertex AI).
• Experience with Docker/Kubernetes or other containerized environments is a strong plus.
• A strong academic background is required in Mathematics, Computer Science, Engineering, or a related scientific discipline.

Personal Qualities:

• Independent, curious, and thrives in fast-paced, ambiguous environments.
• Strong communication skills in English (written and spoken).
• Driven to build and iterate quickly toward impactful results.
• Team player with a passion for innovation and real-world applications.