Job Responsibilities

• Design, develop, and optimize advanced models for various robotics applications.
• Utilize a range of machine learning and deep learning techniques to enhance the performance of perception systems.
• Lead efforts in data extraction, ingestion, and intelligent curation for efficient labeling processes.
• Collaborate with cross-functional teams to implement deep learning-based models.
• Innovate novel methods to improve detection accuracy and processing speed, particularly for edge devices and real-time field robotics systems.
• Drive the design and implementation of scalable data processing and annotation pipelines in collaboration with systems software engineers.
• Take a leading role in the development and deployment of new features for enhancing models.

Qualifications

• Master’s degree in Computer Science or Robotics Engineering, or related field.
• 6 months of related experience.
• Will accept any level of experience in the following skills:
• Implement computer vision and machine learning systems using semantic segmentation, image & video classification, object detection, supervised, and unsupervised learning;
• Experience working with data engineers, data scientists, and software engineers through the lifecycle of developing and deploying a machine learning system;
• Implement computer vision systems using deep learning frameworks including TensorFlow, PyTorch, Keras; Preprocess image data using normalization, resizing, cropping, rotation, flipping, and color augmentation;
• Optimize and fine-tune deep learning models using hyperparameter optimization, transfer learning, regularization methods, ensemble methods, and model layer type modification;
• Use hardware accelerators including cloud GPUs and high-performance computing GPU clusters to train and test deep learning models;
• Train and manage labelers for image-data-annotation pipeline including bounding box annotation, and semantic segmentation;
• Implement code using python libraries including NumPy, SciPy, OpenCV, Pandas, Seaborn, Matplotlib, CUDA, and TensorRT;
• Work with Agile framework to collaborate with team members using Github;
• Utilize database management languages including SQL, MongoDB, Amazon S3, and Boto3.
• 5% domestic travel required. May work remotely; periodic time in office required; must live within commuting distance of office.

Full time. $126,672 - $193,000/year. Please visit https://bluerivertechnology.com/join-us/ to apply.

LI-DNI