Senior Software Engineer: Deep Learning Ref 2021/0013/001 (closed)

 

Salary Market Aligned

Location Singapore

Consultant Jun Lim (R1329913)

Job Ref 2021/0013/001

Date Posted 1 November 2021

Our client is a rapidly growing organisation focused on end-to-end AI engineering. Over the next few years, the Firm is focused on building a vast array of hardware and software products to cater to the growing demand for computer vision and AI applications in Smart Cities, Industry 4.0, defence and medical areas.

Headquartered in Europe, the Firm has clients across the European Union, Middle East, and India. It has operations throughout Asia and Europe and continues to expand globally.

The Role

The Firm is looking for a Senior Software Engineer: Deep Learning who has a passion for multiple exciting deep learning, machine learning, computer vision, and NLP real-world problems to be a part of its world-class team. For this role, you will be working closely with software, research, and product teams. The Firm will provide you with the latest high-end tensor core training infrastructure and edge devices; and you will enjoy access to large proprietary data, run experiments, learn, iterate, and ship.

Key Responsibilities

  • Build state-of-the-art high performing low latency deep learning, machine learning, computer vision and NLP algorithms on resource-constrained edge devices

  • Train, fine-tune, optimise, and customise perception DNNs and machine learning models in low precision (FP16/INT8) across multiple GPUs

  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models

  • Suggest, collect, synthesise requirements and create an effective feature roadmap

  • Optimise DNN and the associated pre/post-processing to run efficiently on edge devices

  • Apply low precision inference, quantization, and compression of DNNs

  • Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs and custom deep learning accelerators

  • Continuously improve inference latency, accuracy, and power consumption of DNNs

  • Develop and integrate functional and performance models of accelerators

  • Stay up-to-date with the latest research and innovations in deep learning, and implement and experiment with new ideas

Key Requirements

  • MS or PhD degree in Deep Learning, Machine Learning, Computer Vision, Computer Science, Computer Architecture, Electrical, Computer Engineering, or related technical field or equivalent experience

  • 1+ years (or 3+ years for senior) of work industry experience in developing deep learning and machine learning algorithms and using frameworks (e.g. TensorFlow, Keras, PyTorch, scikit-learn, Caffe, ONNX, etc.)

  • 1+ years (or 3+ years for senior) of work experience in software development

  • Strong Python and/or C/C++ programming skills and debugging skills

  • Solid understanding of DL, ML, computer vision and image processing

  • Solid technical foundation in CPU and GPU architectures, containers, numeric libraries, modular software design, multi-GPU training.

  • Deep knowledge of math, probability, statistics, and algorithms

  • Familiar with state-of-the-art DNN architectures such as CNN and LSTM

  • Experience with DNNs such as for object detection, segmentation, anomaly detection, ML classification/regression, activity recognition, NLP based image search

  • Experience with speech recognition AI models and software pipelines for low power edge computers

  • Ability to understand and code from the latest state-of-the-art research papers

  • Experience with Linux/Ubuntu, and containerization tools such as Docker

  • Willing to take action and drive with strong analytical skills

  • Strong time management and organization skills for multiple priorities, and implementing new technology and products into complex projects

Why Join the Firm

  • Be a part of a people-first company that nurtures and rewards employees

  • The best place to work on cutting-edge technologies and innovative products

  • Fast moving, challenging, and unique business problems

  • Flat organisation and commitment to personal development

  • Diverse work environment and highly collaborative team ethics

  • Opportunities for international relocation and transfer

  • Competitive salary and rewards

If you are interested to work at the cutting edge of technology for a high-growth organisation, we would like to talk to you.

Please click the APPLY NOW button and indicate your notice period in your CV. Data provided is for recruitment purposes only.

We thank you for your interest in this position and regret that only shortlisted candidates will be notified.