Research Scientist (Deep Learning)

BLACK SESAME TECHNOLOGIES (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A pioneering AI company in Singapore seeks a Research Scientist to develop cutting-edge perception algorithms for autonomous driving applications. The ideal candidate will possess a Master's Degree or PhD in Computer Science or Electrical Engineering, alongside 3+ years of experience in computer vision and machine learning development. Responsibilities include innovating network architectures, deep network compression, and contributing to research publications while collaborating with leading researchers in the field.

Qualifications

• Master's Degree or PhD in Computer Science, electrical engineering, or a related field.
• 3+ years of experience in computer vision/machine learning development.
• Proficient programming skills in Python (C++ knowledge is advantageous).

Responsibilities

• Develop deep learning-based perception algorithms for autonomous driving.
• Innovate network architectures and training methodologies.
• Execute deep network compression tailored for ASIC platforms.
• Contribute to patent and research publications.

Skills

Deep learning algorithms

Computer vision

Python programming

Object detection

Machine learning development

Mathematical optimization

Education

Master's Degree/PhD in Computer Science or Electrical Engineering

Job description

Position Overview:

Black Sesame Technologies is a rapidly expanding artificial intelligence company backed by substantial VC funding, dedicated to pioneering algorithms and chips for artificial intelligence and image processing. As a Research Scientist in this role, you will collaborate closely with leading researchers to forge cutting‑edge perception algorithms aimed at tackling real‑world challenges in autonomous driving and beyond. The primary focus of perception is to identify and comprehend the surrounding environment of autonomous vehicles, supporting L2 and L3 automated driving capabilities. This involves constructing a real‑time virtual representation of the local environment by processing input data predominantly from cameras, alongside data from complementary sensors such as radars, IMU, and ultrasonic sensors.

Job Description:

• Develop deep learning‑based perception algorithms encompassing object detection, lane detection, segmentation, depth estimation, and other related tasks.


• Innovate state‑of‑the‑art network architectures and training methodologies, assessing their efficacy in addressing vision‑related challenges.


• Execute deep network compression tailored for ASIC platforms.


• Stay abreast of the latest advancements in deep learning and computer vision literature, proactively proposing novel concepts.


• Contribute to patent and research paper publications.

Job Requirements:

- Master Degree/ PhD in Computer Science, electrical engineering, or a related field.

- Possess 3+ years of experience in computer vision / machine learning development.

- Demonstrated expertise in research and development within one or more of the following domains:

• Deep network development, particularly with visual data.


• Object detection and tracking.
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• Stereo / optical flow / depth estimation.


• Multi-view geometry and 3D computer vision.


• Structure from motion.


• Network compression and optimization.


• Network-based sensor fusion.


• Mathematical optimization.


• Proficient programming skills in Python (knowledge of C++ is advantageous).