Blue River Technology

Sr Machine Learning Engineer

Blue River Technology • $149K — $275K *
Santa Clara, CA 95051In-Person
Transportation
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, or equivalent plus 1.5 years of relevant experience.
  • Proficient in training and optimizing computer vision models for various tasks using advanced learning techniques.
  • Experience with building and evaluating deep learning models in PyTorch and TensorFlow.
  • Ability to assess model performance across different hardware platforms for real-time execution.
  • Skilled in designing end-to-end ML pipelines for model training and deployment.
  • Familiarity with integrating synthetic datasets for enhancing model training processes.
  • Strong research capabilities in implementing advanced computer vision architectures and strategies.

Responsibilities

  • Implement deep-learning models for various applications in autonomous vehicles.
  • Build and evaluate models using data from diverse sensor modalities to assess accuracy and robustness.
  • Research new methods to enhance detection performance and processing efficiency.
  • Collaborate with robotics engineers to transition models to real-time systems.
  • Work with engineers to maintain data-processing pipelines for system monitoring and improvement.

Benefits

  • Eligibility for Blue River's bonus and benefit programs.
  • Flexible working arrangements with remote work options available.
  • Periodic office attendance expected; must be local to the office.
Full Job Description
Title and Location: Sr Machine Learning Engineer in Santa Clara, CA.

Job Responsibilities
  • Implement deep-learning models and frameworks for scene segmentation, depth estimation, active learning, and the development of situational awareness for autonomous vehicles operating in construction and agriculture environments.
  • Build and evaluate machine-learning models using data from multiple sensor modalities, including vision, radar, and thermal cameras, and assess trade-offs in accuracy, robustness, and latency.
  • Research and develop new methods to improve detection performance and increase processing speed.
  • Collaborate with robotics engineers to transition algorithms from desktop and server-class systems to real-time field-deployed robotic platforms.
  • Work with systems and software engineers to design and maintain data-processing and annotation pipelines that support continuous system monitoring, evaluation, and improvement.

Qualifications
  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or related field plus 1 year and 6 months of related experience.
  • Required skills:
    • Train and optimize computer vision models for object detection, semantic segmentation, and monocular/stereo depth estimation using supervised and self-supervised learning, including loss function customization and multi-scale model training (1 yr, 6 mos).
    • Build and evaluate deep learning models using PyTorch and TensorFlow, implementing transfer learning, custom training loops, distributed training, gradient-based optimization, and hyperparameter tuning for large-scale image datasets (1 yr, 6 mos).
    • Evaluate model inference performance and runtime behavior across heterogeneous hardware platforms, including high-performance computing (HPC) GPU environments, local NVIDIA GPU development systems, and VPU-based inference on production deployment machines, to ensure real-time execution requirements are met (1 yr, 6 mos).
    • Design and implement end-to-end ML pipelines for data ingestion, preprocessing, model training, validation, experiment tracking, and deployment using reproducible workflows and version-controlled environments (1 yr, 6 mos).
    • Integrate and validate synthetic image datasets for computer vision model training, including domain alignment, data normalization, camera parameter adjustment, and evaluation of generalization performance against real-world datasets (1 yr, 6 mos).
    • Research and implement emerging computer vision architectures and training strategies, including transformer-based backbones, advanced loss functions, and optimization techniques, to improve model accuracy and inference efficiency (1 yr, 6 mos).
    • Perform dataset curation, large-scale image preprocessing, exploratory error analysis, and implement active learning strategies based on model uncertainty and diversity sampling to improve training data quality and reduce false positives (1 yr, 6 mos).
  • 5% domestic travel required to visit testing facilities and customer sites. May work remotely; periodic time in office required; must live within commuting distance of office.

The US annual base salary range for this position is $149,365 - $275,000, along with eligibility for Blue River's bonus and benefit programs.

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About Blue River Technology

Blue River Technology is a California-based company that develops and manufactures agricultural robots and automation systems. The company's products include the See & Spray precision spraying system, which uses computer vision and machine learning to identify and target individual plants with herbicides, reducing the amount of chemicals used and increasing crop yields. Blue River Technology was acquired by John Deere in 2017, and operates as a subsidiary of the company. The company has a strong focus on innovation and sustainability, with a commitment to developing technologies that improve the efficiency and sustainability of agriculture.
Learn more about Blue River Technology
Size
60 employees
Industry
Enterprise Technology
Founded
2011
* Ladders Estimates

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