Avride
Overview
Machine Learning Engineer at Avride. Avride develops autonomous vehicle and delivery robot technology with a focus on safe and intelligent navigation, leveraging deep expertise in autonomous systems and machine learning. About The Team
Our team designs and deploys state-of-the-art models for autonomous systems, using architectures such as CNNs, Transformers, and Multimodal Large Language Models (MLLMs). Models power both onboard and offboard applications to ensure robust and efficient operation. Your work will contribute to enhancing performance, safety, and reliability of Avride’s autonomous vehicles and delivery robots. About The Role
We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In this role, you will conduct experiments, manage large-scale datasets, and implement deep learning models tailored for autonomous systems. You will utilize cloud platforms, orchestration tools, and ML frameworks to develop scalable and efficient solutions. You will also analyze the latest research, assess emerging techniques, and drive innovation in autonomous vehicle technology. What You\'ll Do
Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include models for understanding a self-driving vehicle’s surroundings or predicting the intentions of other road users. Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation. Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, including distributed training, hyperparameter tuning, and automated monitoring. Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms. Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance. Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate ML solutions into real-world autonomous systems. What You\'ll Need
Bachelor’s degree in Computer Science, Machine Learning, Robotics, or a related field. Strong understanding of fundamental ML algorithms and neural network techniques. Expertise in at least one modern ML domain, such as computer vision, large language models, or generative AI. At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment. Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy. Working knowledge of C++ and SQL. Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation. Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results. Nice to Have
Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. Experience developing ML algorithms for autonomous vehicles or robotics applications. Familiarity with NN deployment and optimization tools such as Triton, TensorRT, or similar frameworks. Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently. Experience working in cross-functional teams within a multidisciplinary environment. Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects. Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available. Job Details
Seniority level: Not Applicable Employment type: Full-time Industries: Software Development
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Machine Learning Engineer at Avride. Avride develops autonomous vehicle and delivery robot technology with a focus on safe and intelligent navigation, leveraging deep expertise in autonomous systems and machine learning. About The Team
Our team designs and deploys state-of-the-art models for autonomous systems, using architectures such as CNNs, Transformers, and Multimodal Large Language Models (MLLMs). Models power both onboard and offboard applications to ensure robust and efficient operation. Your work will contribute to enhancing performance, safety, and reliability of Avride’s autonomous vehicles and delivery robots. About The Role
We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In this role, you will conduct experiments, manage large-scale datasets, and implement deep learning models tailored for autonomous systems. You will utilize cloud platforms, orchestration tools, and ML frameworks to develop scalable and efficient solutions. You will also analyze the latest research, assess emerging techniques, and drive innovation in autonomous vehicle technology. What You\'ll Do
Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include models for understanding a self-driving vehicle’s surroundings or predicting the intentions of other road users. Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation. Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, including distributed training, hyperparameter tuning, and automated monitoring. Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms. Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance. Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate ML solutions into real-world autonomous systems. What You\'ll Need
Bachelor’s degree in Computer Science, Machine Learning, Robotics, or a related field. Strong understanding of fundamental ML algorithms and neural network techniques. Expertise in at least one modern ML domain, such as computer vision, large language models, or generative AI. At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment. Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy. Working knowledge of C++ and SQL. Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation. Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results. Nice to Have
Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. Experience developing ML algorithms for autonomous vehicles or robotics applications. Familiarity with NN deployment and optimization tools such as Triton, TensorRT, or similar frameworks. Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently. Experience working in cross-functional teams within a multidisciplinary environment. Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects. Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available. Job Details
Seniority level: Not Applicable Employment type: Full-time Industries: Software Development
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