Search the 22 jobs at Cintrifuse

The Senior Machine Learning Engineer focuses on developing algorithms and deep learning models for motion planning in autonomous vehicles, overseeing the full development cycle from ideation to production deployment. Responsibilities include designing robust software, mentoring junior members, and refining data-driven models based on real-world performance.

As a Principal Machine Learning Engineer, you will lead R&D initiatives to enhance autonomous vehicle performance. Responsibilities include defining team direction, advising on technology solutions, architecting and deploying innovative machine learning models, and mentoring junior staff, all aimed at advancing self-driving vehicle technology.

The Principal Engineer will lead the ML training platform team, overseeing the development of new processes for ML training and evaluation, and ensuring successful project execution. Responsibilities include building scalable data processing solutions, optimizing model performance, and managing technical risks while inspiring a high-performing team.

As a Senior Machine Learning Engineer, you will work on autonomous vehicle technologies, leading projects to enhance safe driving capabilities, define team direction, prototype and implement solutions, and mentor junior engineers. Your role involves collaborating on advanced algorithms focusing on perception and prediction systems for self-driving vehicles.

The Senior Software Engineer/Data Scientist will analyze autonomous vehicle performance using statistical and machine learning methods, develop new metrics from large data sets, mentor team members, and promote data-driven decision-making across the organization.

Lead a team of engineers in building and maintaining large scale data processing pipelines for autonomous vehicle data. Responsibilities include project management, system design, and high-quality code writing to ensure scalable data access. Provide mentorship and align team efforts with user and stakeholder needs.

The Principal Engineer will lead a team focusing on building and maintaining scalable data processing pipelines for autonomous vehicle logs. Responsibilities include mentoring engineers, managing timelines, designing cloud ETL solutions, and writing maintainable code for large data sets.

The Senior Machine Learning Engineer will contribute to motion planning systems by developing algorithms for autonomous driving, improve deep learning algorithms, and mentor junior members, focusing on deployment in real-world scenarios.

The Principal Engineer will lead the ML training platform team, focusing on developing scalable ML data processing and model training solutions. Responsibilities include optimizing model performance, managing technical risks, and ensuring the team's cohesion in delivering on key initiatives related to autonomous driving software.

The Senior Software Engineer/Data Scientist will analyze autonomous vehicle performance using statistical and machine learning methods, develop new metrics, and mentor other team members. Responsibilities include establishing correlations between data sets, driving insights, and promoting data-aware decision-making.

You will lead R&D initiatives for autonomous vehicles, guide technology solutions, and conduct research on state-of-the-art systems. Responsibilities include mentoring engineers, defining team direction, and deploying solutions to vehicle fleets.

As a Senior Machine Learning Engineer, you will lead projects focused on developing technology solutions for autonomous vehicles, including problem formulation, prototype development, and collaboration with other engineers, while mentoring junior team members and driving project impact.

The Senior Motion Planning Engineer will research and develop algorithms, build software for autonomous vehicle navigation, integrate motion planning with perception systems, and mentor junior team members. They will also ensure robust software practices within the team.

As a Senior Machine Learning Engineer, you will impact autonomous vehicle technology by defining team directions, architecting solutions, and deploying ML algorithms. You will collaborate with engineers, tackle complex problems, and mentor junior staff while driving project-level impacts for safe and efficient self-driving solutions.

As a Senior Motion Planning Engineer, you'll research and develop algorithms for autonomous driving, integrate evaluation methods for motion planning and prediction, and build a robust codebase. You'll also mentor junior team members and enhance software practices within the team.

As a Principal Engineer for the ML training platform, you'll lead a team to develop and optimize platform processes, manage technical risks, and ensure efficient model training and evaluation. Your role includes hands-on software development, collaboration with cross-functional teams, and driving initiatives that enhance autonomous vehicle performance.

The Senior Motion Planning Engineer will research, develop algorithms, and build software for autonomous vehicles. Responsibilities include developing motion planning algorithms, integrating evaluation techniques, designing scalable codebases, and mentoring junior engineers.

As a Principal Machine Learning Engineer, you will lead R&D initiatives for autonomous vehicles, providing technical direction and mentoring. Responsibilities include designing solutions using ML algorithms, deploying systems for real-world applications, and driving business impact through technology innovation.

The Principal Engineer will lead a team focused on building and maintaining large-scale data processing pipelines for autonomous vehicle logs. Key responsibilities include mentoring engineers, managing project timelines, designing scalable data solutions using cloud ETL technologies, and ensuring high-quality code for data processing.

The Senior Machine Learning Engineer will contribute to motion planning systems using machine learning and optimization methods, develop various planning algorithms for autonomous driving, and enhance core deep learning algorithms. Responsibilities include software development, algorithm design, deployment to autonomous vehicles, and mentoring junior team members.