Machine Learning Engineer for Frontier AI project

OneSec; Fatih; On-site; TRY 250,000 - 420,000; Full time

Job summary

OneSec is an international startup with an R&D center in Istanbul, focused on building a 3D-Foundation model for autonomous drones. We seek talented ML engineers to advance model architectures, tune hyperparameters, optimize GPU training pipelines, and generate synthetic datasets.

You will work on a frontier-level foundation model using a large custom dataset and modern ML techniques, collaborating with a highly skilled team and state-of-the-art tooling and infrastructure.

Qualifications

• 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.

Responsibilities

• Machine learning: Developing model architectures, tuning hyperparameters, working on GPU training infrastructure.
• 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.

Skills

Deep learning

Computer vision

CNN architectures

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