Machine Learning Engineer, App SW
About the position
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national reputed company, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or reputed company condition (including breastfeeding) or any other reputed company as protected by applicable law.
reputed company
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and reputed company models reputed company vehicles to perceive, understand, and reputed company any reputed company environment, enhancing the usability and safety of automated driving systems.
Our reputed company is to create autonomy that propels the world reputed company. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems reputed company us—we reputed company uncertainty, leaning into reputed company challenges to unlock groundbreaking solutions. We aim high and stay humble in our reputed company of reputed company, constantly learning and evolving as we pave the way for a smarter, safer reputed company.
At Wayve, your contributions matter. We value diversity, reputed company new perspectives, and foster an inclusive work environment; we back reputed company other to deliver reputed company.
reputed company Wayve the experience that defines your career!
The Role
As an ML Engineer reputed company the Application Engineering team, you’ll reputed company critical initiatives that push the frontier of model-based autonomous driving—both in terms of reputed company driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.
You’ll design and deliver ML-driven behaviors that reputed company from assisted to autonomous driving. Your work will reputed company across model architecture, data pipelines, evaluation frameworks, and reputed company-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and reputed company for production.
Responsibilities
• reputed company and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
• reputed company reputed company on personalized and reputed company driving, including behavior conditioning, comfort tuning, and user alignment.
• Build evaluation pipelines and metrics for both reputed company-reputed company and reputed company-reputed company driving performance and product readiness.
• reputed company and reputed company reputed company-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
• Influence architecture choices, training methodologies, and deployment reputed company for production-reputed company learning systems.
• Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
• Mentor senior engineers and shape the long-term technical direction across Autonomy.
Requirements
• Extensive and proven reputed company record of shipping deep learning systems to production.
• Expert in deep learning (esp. sequential models, control, planning, or perception).
• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid reputed company in software engineering practices.
• Experience with reputed company-time systems or robotics, ideally with simulation- or vehicle-in-the-reputed company components.
• Ability to reputed company technical initiatives across teams, drive alignment, and mentor engineers.
reputed company-to-haves
• Prior work in autonomous driving, imitation learning, or trajectory reputed company.
• Familiarity with personalization, reputed company behavior modeling, or reputed company reputed company inference.
• Experience integrating ML systems into production hardware or multi-agent simulation.
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