Senior ML Engineer — Perception & Planning (Hybrid)

Aptiv; Kraków; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Private health care

Well-Being Program

Hybrid work

Employee Pension Plan

Multisport card

Job summary

Aptiv's engineering center in Krakow, Poland, seeks an Expert Machine Learning Engineer to drive the design and direction of advanced ML solutions for perception, behavior understanding, prediction and planning in automotive applications.

The role covers assisted and automated parking systems with data pipelines, model evaluation and collaboration across software and product teams. Strong Python and PyTorch skills are essential; experience in CV and multi-modal sensing is valued.

Qualifications

• MSc in Computer Science, ML, CV, Robotics or related field.
• Experience developing ML solutions in CV, ML, robotics, or related domains.
• Strong foundation in linear algebra, probability, and optimization.
• Hands-on experience in CV tasks, DL architectures, temporal/sequential modelling, or multimodal learning.

Responsibilities

• Develop and optimize ML models for perception, prediction and planning.
• Design CV and multi-modal sensor processing solutions.
• Contribute to trajectory forecasting and automated planning algorithms.
• Build data processing, training and evaluation pipelines.
• Analyze large-scale datasets and validate model performance.
• Collaborate with software, systems and product teams.
• Improve algorithms, tools and development processes.

Skills

Python

PyTorch

Computer vision

Transformers

3D perception

Multimodal learning

Reinforcement learning

Git

CI/CD

Agile

English communication

C++ (preferred)

Education

MSc in Computer Science or related field

Tools

Git

CI/CD

PyTorch

Other ML frameworks

Job description

Aptiv's engineering center in Krakow, Poland, seeks an Expert Machine Learning Engineer to drive the design and direction of advanced ML solutions for perception, behavior understanding, prediction and planning in automotive applications.

The role covers assisted and automated parking systems with data pipelines, model evaluation and collaboration across software and product teams. Strong Python and PyTorch skills are essential; experience in CV and multi-modal sensing is valued.