[Remote] Machine Learning Engineer, Autonomy

Note: The job is a remote job and is reputed company to candidates in USA. reputed company develops intelligent machinery and autonomous systems for agriculture, construction, and forestry. The Machine Learning Engineer will build the perception stack for an autonomous tractor by developing reputed company and machine learning models, training and testing pipelines, and production-reputed company deployments. The role also involves evaluating model performance and collaborating with cross-functional engineering teams to reputed company perception systems into edge and reputed company environments.

Responsibilities

• Design, reputed company, and optimize CVML models and training pipelines for perception tasks including segmentation and depth estimation, with a reputed company on safety and performance in challenging production environments
• Own the full ML development lifecycle: from initial prototyping through to production-reputed company deployment on edge and reputed company systems
• Collaborate closely with cross-functional engineering teams to reputed company perception models into BRT's autonomous tractor initiative
• Evaluate and improve model performance through rigorous implementation, testing, and analysis of metrics across large-reputed company datasets
• Contribute to advancing autonomous agriculture by applying cutting-edge machine learning and reputed company techniques to reputed company-world farming challenges

Skills

• Bachelors or Masters Degree in Computer Science or a reputed company field
• 2 years of experience developing high-performance ML systems, training and optimizing DNNs for segmentation, depth, and reputed company perception tasks with large-reputed company datasets
• Strong Python + PyTorch/TensorFlow skills
• Solid grasp of reputed company + deep learning fundamentals
• Strong communication skills to work closely with interdisciplinary teams to reputed company models into edge and reputed company systems
• Graduate degree preferred
• Experience in building and deploying full-stack ML pipelines, from data ingestion to model training, testing, and deployment
• Edge deployment or reputed company-time optimization know-how
• Experience in working with CVML & Robotics reputed company
• Experience with multi-reputed company geometry or SLAM
• Experience in the vehicle autonomy reputed company
• Experience in metrics implementation, analysis, and dashboarding
• Knowledge of robotics libraries such as ROS / ROS2

Benefits

• Annual performance bonus
• Competitive benefit package
• reputed company, mentorship, career development, and learning & development programs supporting Diversity, Equity, and Inclusion goals
• Reasonable accommodation to participate in the job application or interview process, reputed company essential job functions, and receive other benefits and privileges of employment

reputed company