Lead AI Optimization Specialist
2 days ago
We are seeking a skilled Lead AI Optimization Specialist to join our team at Pixis, a cutting-edge technology company revolutionizing the marketing industry with accessible AI. As a key member of our team, you will be responsible for optimizing deep learning models to achieve unparalleled performance and efficiency.
The ideal candidate will have extensive experience in deep learning, particularly in computer vision and natural language processing. Your expertise in software engineering, deep learning architectures, and performance optimization techniques will enable you to fine-tune models and integrate the latest advancements in deep learning into our projects.
This is an exciting opportunity to work on state-of-the-art deep learning projects, pushing the boundaries of AI technology. If you're passionate about improving model performance and have a proven track record of success, we encourage you to apply.
Key Responsibilities:
- Optimize deep learning model inference runtime and quality for high-performance computing environments.
- Work with cutting-edge deep learning models such as Stable Diffusion, ControlNet, and LAMA, focusing on computer vision tasks.
- Utilize inference frameworks like TensorRT, ONNX, and ONNXRuntime to accelerate and streamline model deployments.
- Implement fine-tuning strategies to improve model performance on specific datasets or tasks.
- Collaborate with the AI research and development team to integrate the latest advancements in deep learning into our projects.
- Conduct rigorous performance testing and benchmarking to ensure that models meet the required efficiency and accuracy standards.
- Provide technical guidance on best practices for deep learning model optimization and deployment.
Requirements:
- Deep Learning and Machine Learning: Extensive experience with PyTorch and familiarity with TensorFlow. Understanding of deep learning architectures and ability to implement efficient models.
- Inference Frameworks: Proficiency in using TensorRT, ONNX, and ONNXRuntime for model optimization and deployment.
- Model Optimization: Strong knowledge of techniques for optimizing model inference runtime and quality, including quantization, pruning, and knowledge distillation.
- Computer Vision Models: In-depth understanding of modern computer vision deep learning models like Stable Diffusion, ControlNet, and LAMA.
- Software Engineering: Excellent programming skills in Python and experience in writing high-quality, maintainable code.
- Performance Engineering: Expertise in profiling, benchmarking, and optimizing software and algorithms for maximum performance.
- Integration: Understanding of Python API Frameworks such as FastAPI. Capability to build robust and fast synchronous or asynchronous APIs. Experience working with queuing systems and caching systems.
- Fine-Tuning: Knowledge of strategies for fine-tuning deep learning models to improve performance on specific tasks or datasets.
What We Offer:
- A competitive salary of $120,000 - $180,000 per year, depending on experience.
- A dynamic and supportive work environment.
- Opportunities for professional growth and development.
About Pixis:
Pixis is a US-based codeless technology company that develops accessible AI to empower brands to scale their performance marketing efforts and augment their decision-making seamlessly. With a strong focus on innovation and customer satisfaction, we strive to create a positive impact on the marketing industry. Our talented team of 300+ professionals from over 14 geographies is dedicated to building transformative AI products to help customers get the most out of their marketing and demand generation efforts.
How to Apply:
Please submit your resume and a cover letter explaining why you would be a great fit for this role. We look forward to hearing from you
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