Autonomous Driving Software Engineer (Machine Learning Eng.)

ADASTEC Corp.; Fatih; On-site; TRY 300,000 - 550,000; Full time

Job summary

ADASTEC Corp. in Türkiye is hiring an Autonomous Driving Software Engineer who will work as a Machine Learning Engineer to train, evaluate, and deploy perception models across 2D camera detection, monocular 3D detection, LiDAR 3D, and camera–radar fusion.

You will build automated training/labeling pipelines, monitor model drift, run experiments, and export models for onboard deployment. 3+ years in ML required, English fluency essential.

Qualifications

• Bachelor’s or master’s degree in computer science, AI, electrical/electronics, robotics, or related field.
• 3+ years of professional ML engineering experience.
• Strong knowledge of ML and deep learning fundamentals.

Responsibilities

• Train and fine‑tune deep learning models for 2D/3D object detection.
• Develop and evaluate models across camera, LiDAR, and camera–radar fusion.
• Build and maintain automated training and auto-labeling pipelines.
• Run evaluation, error analysis, and experiment tracking.
• Monitor model drift and domain shift; feed insights back to data/training.
• Export and validate models for onboard deployment.

Skills

English fluency

3+ years ML engineering

PyTorch expert

2D/3D object detection

LiDAR/camera fusion

Experiment tracking

Model evaluation

CUDA/GPU training

Education

Bachelor’s or Master in CS/AI/EE/Robotics

Tools

ONNX

TensorRT

MLflow

Weights & Biases (W&B)

Docker

CUDA tooling

Job description

ADASTEC delivers SAE Level-4 Automated Driving Software Platform for commercial vehicles to enable OEMs to develop modern, automated, shared, and connected commercial vehicles. ADASTEC flowride.ai SAE Level-4 Automated Driving Software Platform integrated buses are on public roads in 14 countries in Europe & North America.

flowride.ai is designed with the fusion of different high-precision sensors available in the global market and complies with safety standards and regulations.

ADASTEC has an HQ and operation office in Michigan, USA, an EU Operations office in the Netherlands, Germany, and an R&D Office in Türkiye. For more information, visit www.adastec.com

We are hiring a Autonomous Driving Software Engineer who will work as a Machine Learning Engineer, to train, evaluate, and deploy perception models across 2D camera detection, monocular 3D detection, LiDAR 3D detection, and camera–radar fusion; to work with dataset and annotation owners on automated training and labeling, and on watching model drift and domain shift.

RESPONSIBILITIES

• Training and fine-tuning deep learning models for 2D and 3D object detection
• Developing and evaluating models across camera, LiDAR, and camera–radar fusion
• Building and maintaining automated training and auto-labeling pipelines
• Running evaluation, error analysis, and experiment tracking
• Monitoring model drift and domain shift and feeding findings back into data and training
• Exporting and validating models for onboard deployment

QUALIFICATIONS

• Bachelor’s or master’s degree in computer science, AI, Electrical & Electronics Engineering, Robotics, or a related field
• Excellent command of English, both written and spoken
• Minimum 3 years of professional experience as a Machine Learning Engineer
• Strong understanding of machine learning and deep learning fundamentals
• Hands-on PyTorch experience with model training, validation, and evaluation
• Experience with object detection and transfer learning
• Comfort with at least two of: 2D detection, monocular 3D, LiDAR 3D, multi-modal fusion
• Good understanding of evaluation metrics and performance analysis
• Excellent command of English, both written and spoken.
• 2D and 3D object detection on camera, LiDAR, or radar
• Camera–radar or other multi-sensor fusion
• Experiment tracking (W&B, MLflow, or similar)
• Model export and optimization (ONNX, TensorRT, or similar)
• Dockerized GPU training and distributed training
• Automated training or labeling pipelines