Here at Ailytics, we’re building AI solutions to envision a safer world. By combining computer vision and predictive analytics, we enable organizations to proactively identify risks, optimize processes, and ultimately save lives. Our platforms are currently deployed all over the world, covering more than 300 million square meters!

As aComputer Vision Research Engineer, you’ll push our boundaries and expand what we’re capable of. Your role will extend beyond mere research and optimizations, it’ll involve the full spectrum of the research lifecycle, with a focus on ensuring practical feasibility.

This opening is for our Hong Kong office, located at HKSTP – Hong Kong Science and Technology Park.

What You Will Be Doing

• Innovative AI Research and Development:Spearhead cutting-edge research in AI, focusing on groundbreaking developments in areas such as Vision-Language Models, Zero-Shot learning, Cross Modal learning etc.
• Computer Vision Research:Lead in the research and development of robust AI and computer vision algorithms. Engage in rigorous benchmarking to assess and enhance performance continuously by seeking innovative ways to refine algorithms, improve efficiency, and ensure scalability.
• Optimization of AI Technologies:Focus on the refinement and optimization of AI models and algorithms for superior performance and applicability. Ensure the research findings are effectively translated into actionable insights and technologies, enhancing the efficacy and application of AI solutions.
• Leadership in AI Research:Offer mentorship and insight to a team of researchers and technical staff, nurturing an environment of learning and growth. Drive the research agenda forward, aligning with the company’s vision and fostering a culture of innovation and excellence in the AI domain.
  
  
  

Our Ideal Requirements

• PhD in Computer Science, Electrical Engineering, or related fields, emphasizing the theoretical foundation and research methodologies.
• Ideally at least 4 years of dedicated research and development experience, showcasing a strong foundation in advancing the field of visual recognition technologies.
• Strong foundation in algorithms (DSA), linear algebra, and statistical models.
• Proven track record of publishing research at top computer vision or machine learning conferences (e.g., CVPR, NeurIPS, ICCV, ECCV).
• Ability to prototype concepts rapidly and evaluate them for potential product integration.
• Proficient in Python and in using deep learning frameworks like PyTorch and TensorFlow.
• Hands-on experience in optimizing deep learning models through techniques such as quantization, pruning, and converting model formats, including ONNX and TensorRT.
• Demonstrated expertise in conceptualizing, developing, and refining computer vision pipelines, with a focus on novel algorithmic approaches.
• Solid understanding of data structures, algorithms, and software design principles.
• Excellent communication abilities and ability to articulate research findings and technical challenges to both technical and non-technical stakeholders.
  
  
  

Why Work At Ailytics?

• This is an opportunity to create lasting impact and explore the intersection of AI and safety.
• We’re a start-up that’s still in its early stages. If you’re looking for an environment where you can really make an impact, this is it.
• We value strong standards, high transparency, and low egos. Let us know if this sounds like you.

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