ML Researcher for Frontier AI project

OneSec; Fatih; On-site; TRY 180,000 - 320,000; Full time

Benefits offered by this job

Stock options

Job summary

OneSec is an international startup with an R&D center in Istanbul, seeking talented Machine Learning engineers to work on a 3D-Foundation model for autonomous delivery drones. You will contribute to model architectures, hyperparameter tuning, and GPU training infrastructure, while also generating synthetic data and pseudo labels.

Join a highly skilled team and work with state-of-the-art tools in a rapidly advancing robotics-focused ML project.

Qualifications

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

Responsibilities

• Develop model architectures, tune hyperparameters, working on GPU training infrastructure.
• Dataset generation: using open source AI models to generate pseudo labels, synthetic data with geometric transformations, and filter datasets for training data.

Skills

Deep learning

Computer vision

CNNs (ResNet)

PyTorch

CUDA

OpenCV

Tools

PyTorch

CUDA

OpenCV

Job description

OneSec is an international startup that has opened an R&D center in Istanbul.

We are looking for talented Machine Learning engineers to work on our 3D-Foundation model.

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 custom dataset with over 120 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