Machine Learning Engineer

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

We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains.   Blue River Technology aligns with John Deere’s vision to “innovate on behalf of humanity” by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics.

View all jobs
Salary
$126,672 – $193,000 per year
Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Machine Learning Engineer Q&A's
Report this job

This job is no longer available