Machine Learning Engineer at International Startup

OneSec; Fatih; On-site; TRY 260,000 - 420,000; Full time

Benefits offered by this job

Stock options

Job summary

OneSec is seeking talented Machine Learning engineers to join our Istanbul team. We are building autonomous delivery drones and a state-of-the-art 3D foundation model for navigation, using a large dataset and modern ML techniques.

You will work on model architectures, GPU training infrastructure, and dataset generation, including synthetic data and pseudo labeling with open-source AI models, in a fast-moving startup environment.

Qualifications

• Strong expertise in deep learning.
• Experience with computer vision and CNNs (ResNets etc).
• Experience with PyTorch (and ideally CUDA, OpenCV, etc).
• Willingness to work in an AI & robotics startup environment.

Responsibilities

• Develop model architectures and tune hyperparameters for GPU training.
• Generate and curate datasets, including pseudo labeling and synthetic data generation.

Skills

Deep learning

Computer vision

CNNs

PyTorch

CUDA

OpenCV

Tools

None

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