Machine Learning Architect for Predictive Planning
1 day ago
We are seeking an experienced Senior Machine Learning Engineer to join our team and contribute to the development of advanced trajectory planning systems for autonomous trucks. As part of this role, you will work closely with other teams to advance our capabilities in time-series forecasting, collaborating with data scientists and engineers to evaluate and improve model efficacy. You will also participate in all aspects of the software lifecycle, from defining requirements to deployment and maintenance.
Key Responsibilities
This role involves designing, developing, optimizing, and deploying machine learning models for trajectory planning, contributing to the research and development of new machine learning algorithms, and collaborating with other teams to align on objectives and deliverables. You will also be responsible for participating in technical discussions, brainstorming sessions, and team meetings to share progress and address any challenges.
Requirements
To succeed in this role, you will need:
- A Master's degree in computer science, computer engineering, or an equivalent field, along with 3+ years of relevant experience.
- A deep understanding of machine learning frameworks such as TensorFlow or PyTorch.
- Experience involving machine learning or related fields in a production environment.
- Hands-on experience with learning-based prediction, planning, and control.
- Excellent communication skills, able to articulate complex concepts to diverse audiences.
Benefits
We offer a range of benefits to support the well-being and career growth of our team members, including a flexible schedule, generous paid vacation, company-wide holiday office closures, AD+D, and Life Insurance. Our goal is to create a collaborative, energetic, and team-focused culture that fosters continuous learning and professional development.
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