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.
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What We Do
We’re Blue River, a team of innovators driven to radically change agriculture by creating intelligent machinery. We empower our customers – farmers - to implement more sustainable solutions: optimize chemical usage, reimagining routine processes, and improving farming yields year after year. We believe that focusing on the small stuff – pixel-by-pixel and plant-by-plant - leads to big gains. By partnering with John Deere, we are innovating computer vision, machine learning, robotics and product management to solve monumental challenges for our customers.
Our people are at the heart of what we do. Through cross-discipline collaboration, this mission-driven and daring team is eager to define the new frontier of agricultural robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won’t give up until we’ve made a tangible and positive impact on agriculture.
