Machine Learning and Computer Vision Engineer

Arion Recruitment Ltd; Lunds kommun; On-site; SEK 412,147 - 650,759; Full time

Job summary

Arion Recruitment Ltd is looking for a Machine Learning and Computer Vision Engineer in Lunds kommun, Sweden. The role involves developing and optimizing algorithms for object detection that enhance automotive safety. Candidates should possess a degree in Computer Science or Electrical Engineering and have strong experience with machine learning frameworks like TensorFlow and PyTorch. Expertise in computer vision and familiarity with data annotation techniques are essential. A background in the automotive sector, especially in ADAS, is a plus.

Qualifications

• Proven experience in machine learning and computer vision, particularly with model training and data preprocessing.
• Proficiency with ML frameworks like TensorFlow and PyTorch.
• Familiarity with auto-labeling tools and techniques like active learning.

Responsibilities

• Develop and optimize machine learning models and algorithms for real-time object detection.
• Implement and improve auto-labeling and data annotation processes.
• Collaborate with cross-functional teams to integrate models into ADAS.

Skills

Machine Learning

Computer Vision

Data Preprocessing

Real-time Applications

Analytical Skills

Education

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field

Tools

TensorFlow

PyTorch

OpenCV

Job description

Machine Learning and Computer Vision Engineer

Company Overview

A leading innovator in automotive safety and advanced driver assistance systems (ADAS) is seeking a skilled Machine Learning and Computer Vision Engineer to join their development team. This company focuses on cutting-edge sensor technology, laser scanning, and AI-driven perception systems that improve urban traffic safety and reduce collisions with vulnerable road users.

Role Overview

This role will be crucial to developing and refining perception algorithms and machine learning models that drive next-generation automotive systems. The ideal candidate will bring a blend of technical expertise in machine learning and computer vision, coupled with experience in managing large datasets for training and validation.

Responsibilities

• Develop and optimize machine learning models and algorithms for computer vision, focusing on real-time object detection and tracking.
• Use machine learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV) to preprocess image and video data.
• Implement and improve auto-labeling and data annotation processes, using techniques like active learning or weak supervision to efficiently manage large-scale datasets.
• Collaborate with cross-functional teams to integrate perception models into complex ADAS and autonomous systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
• Proven experience in machine learning and computer vision, particularly with model training, data preprocessing, and real-time applications.
• Proficiency with ML frameworks (TensorFlow, PyTorch) and vision libraries (OpenCV).
• Familiarity with auto-labeling tools, active learning, and weak supervision techniques.
• Strong analytical and problem-solving skills.
• Experience in the automotive industry is a plus, particularly in ADAS or autonomous driving.