# Deep Learning Engineer

**Company**: Shield AI
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/shieldai/adcb212a-b83c-4da1-a9d4-91b91fdd6155?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_519bd8eb-1ab

## Description

Join Our Team: Shape the Future of Perception Technology!

Are you ready to revolutionize the world of perception capabilities for both autonomous and non-autonomous platforms?

At the forefront of innovation, we are pushing the boundaries of what’s possible, turning cutting-edge insights into real-time, deep-learning-based solutions to solve practical perception challenges on the edge. Your skills will play a key role in driving transformative solutions that redefine the future.

Be part of a dynamic team where innovation meets impact. Let’s shape the future together!

## What you'll do:

- Research, design and implement state-of-the-art perception capabilities, taking ideas from conception into world-class field solutions

- Work with and deploy our AI stack to edge devices

- Work in collaboration with the other deep learning engineers to architect and develop tools help to scale up our deep learning operations

- Stay abreast with the literature and actively involve in various R&D project(s)

## Required qualifications:

- Demonstrable experience in delivering deep-learning-based solutions to solve computer vision problems with industry-based experience between 3 – 5 years

- Strong understanding of using convolutional neural networks and/or transformers for object classification, recognition or segmentation

- Experience working with recent Foundation Models

- Experience with implementing novel deep learning network architectures using existing frameworks (TensorFlow, Caffe, PyTorch or similar)

- Relevant tertiary qualifications (Bachelors/Master/PhD in Computer Science or related fields)

## Preferred qualifications:

- Publication(s) in world-leading Computer Vision/Artificial Intelligence/Machine Learning conferences/journals (i.e., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, PAMI, JMLR)

- C++ and/or Python development experience

- In-depth understanding of the latest deep learning network architectures for computer vision and image processing

- Experience with any of the following: object detection and target tracking, simultaneous localisation and mapping (SLAM), 3D reconstruction, camera calibration, behaviour analysis, foundation models, vision language models, large multi-modal models, automated video surveillance and related fields

- Experience deploying deep learning models in an embedded production context, including experience of structured and unstructured pruning, network quantization and performance tuning

- Experience in maintaining and/or setting up MLOps systems and services

- Experience in mentoring junior engineers/researchers in the related fields

## Additional Information

#LI-FB1 #LD Help us redefine what’s possible in AI-driven perception , apply today!

## Skills

### Required
- deep-learning-based solutions
- computer vision problems
- convolutional neural networks
- transformers
- object classification
- recognition
- segmentation
- recent Foundation Models
- novel deep learning network architectures
- TensorFlow
- Caffe
- PyTorch
- Python development experience
- in-depth understanding of the latest deep learning network architectures

### Nice to have
- publication(s) in world-leading Computer Vision/Artificial Intelligence/Machine Learning conferences/journals
- C++ development experience
- vision language models
- large multi-modal models
- automated video surveillance

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/shieldai/adcb212a-b83c-4da1-a9d4-91b91fdd6155?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)