Machine Learning Software Engineer
Builds production machine learning capabilities for autonomous vehicle perception, prediction, and planning systems. The role requires deep learning expertise, strong C++ or Python skills, and at least three years of production software experience.
About the job
Responsibilities
- Design and implement capabilities and workflows for cutting-edge real-world perception or planning and prediction systems.
- Leverage Applied Intuition products to build the software and infrastructure foundation for machine learning development.
Requirements
- Experience with the end-to-end development cycle of deep learning models.
- Expertise in modeling, input pipelines, evaluation, deployment, and model optimization.
- 3+ years of experience building production software using modern software practices.
- Fluency in C++, or fluency in Python with intermediate experience in C++.
- Deep understanding of the concepts and methods behind frameworks and libraries used.
- Experience with production-level machine learning and deep learning perception algorithms for autonomous vehicles.
Nice-to-haves
- MSc or PhD in machine learning, ideally applied to perception, prediction, planning, or a closely related field.
- Experience building and shipping software frameworks or tools.
- Experience with driver assistance or autonomous driving systems.
- Experience evaluating and improving system-in-the-loop model performance.
- Hands-on expertise in algorithms or methods such as non-linear optimization, computational geometry, numerical analysis, or distributed systems.
Benefits
- 30 days of paid vacation per year.
- €19 lunch budget and €19 dinner budget, plus free breakfast, snacks, and drinks in the office.
- €965 annual learning and development budget.
- €580 annual fitness budget.
- Subsidized Wellpass membership with access to gyms, studios, and wellness facilities across Germany.
- €25 monthly contribution to the Deutschlandticket.
- Generous parental leave in addition to statutory parental leave.
Skills
Machine Learning, Deep Learning, C++, Python, Perception Algorithms, Modeling, Input Pipelines, Model Evaluation, Model Deployment, Model Optimization, Autonomous Vehicles, Non-Linear Optimization, Computational Geometry, Numerical Analysis, Distributed Systems
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