Machine Learning Engineer at International Startup

OneSec; Fatih; On-site; TRY 4,382,000 - 7,303,000; Full time

Benefits offered by this job

Stock option package

Job summary

OneSec, Istanbul, is seeking talented Machine Learning engineers to join our team. We are building advanced autonomous drone technology with a 3D foundation model trained on a massive image dataset.

Responsibilities include designing model architectures, optimizing hyperparameters, and developing GPU training pipelines, as well as generating datasets using open-source models and synthetic data techniques. You will work in a bold, fast-paced startup environment.

Qualifications

• Deep learning expertise with practical CV experience.
• Experience with CNNs and ResNet architectures.
• Proficiency in PyTorch; CUDA and OpenCV a plus.

Responsibilities

• Machine learning: developing model architectures, tuning hyperparameters, training infrastructure.
• Dataset generation: generating pseudo labels, synthetic images, and filtering data for training.

Skills

Deep learning

Computer vision

PyTorch

Tools

CUDA

OpenCV

Job description

OneSec is a Swiss-American startup that has opened an R&D center in Istanbul.

We are looking for talented Machine Learning engineers to join our Team.

OneSec is an AI & Robotics company, working on the next generation of Autonomous delivery drones.

You can find more info on our website: OneSec.com

About this job

OneSec is building a 3D-Foundation model, in one of the largest machine learning projects in the robotics industry. Using a dataset of more than 150 million images, and modern machine learning techniques, we are building a frontier-level foundation model for autonomous drone navigation.

Your job will consist of 2 main elements:

• -Machine learning: Developing model architectures, tuning hyperparameters, working on GPU training infrastructure, etc.
• -Dataset generation: Using open source AI models to generate pseudo labels for internet images, generating synthetic images using geometrical transformations, filtering datasets for valuable training data etc.

Requirements

• -Strong expertise in deep learning
• -Experience with computer vision and CNNs (resnets etc)
• -Experience with Pytorch (and ideally CUDA, OpenCV, etc)
• -Attractive salary & stock option package
• -Work in an exceptionally talented team
• -State of the art development tools & training infrastructure