
Agriculture • Artificial Intelligence • Hardware
Blue River Technology is at the forefront of agricultural innovation, developing intelligent machinery designed to improve farming yields and reduce environmental impacts. By integrating robotics, computer vision, and machine learning, the company is revolutionizing agriculture through a unique blend of Silicon Valley tech and hands-on fieldwork. Their purpose is to tackle significant challenges in agriculture, optimize chemical usage, and drive global sustainability, all while fostering an engaged and collaborative company culture.
September 19
🇺🇸 United States – Remote
💵 $108k - $193k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor

Agriculture • Artificial Intelligence • Hardware
Blue River Technology is at the forefront of agricultural innovation, developing intelligent machinery designed to improve farming yields and reduce environmental impacts. By integrating robotics, computer vision, and machine learning, the company is revolutionizing agriculture through a unique blend of Silicon Valley tech and hands-on fieldwork. Their purpose is to tackle significant challenges in agriculture, optimize chemical usage, and drive global sustainability, all while fostering an engaged and collaborative company culture.
• Build the perception stack for Blue River Technology’s autonomous tractor initiative • Develop CVML models and implement deep-learning-based classification systems for identifying, characterizing, and classifying various farm-related objects using images and videos • Develop, train, test, and optimize DNNs for segmentation, depth, and related perception tasks with large-scale datasets • Explore and develop methods to improve detection performance and increase processing speed • Work with Software and Systems Software teams to transition processing from desktop/server-class machines to real-time, field robotic systems and integrate models into edge and cloud systems • Architect and develop data processing and annotation pipelines for continuous system monitoring and improvement • Take projects from initial prototypes to production-scale deployments, focusing on system safety and performance in challenging production environments
• Bachelor’s or Master’s Degree in Computer Science or a related field (graduate degree preferred) • 2 years of experience developing high-performance ML systems, training and optimizing DNNs for segmentation, depth, and related perception tasks with large-scale datasets • Strong Python + PyTorch/TensorFlow skills • Solid grasp of vision + deep learning fundamentals • Strong communication skills to work closely with interdisciplinary teams to integrate models into edge and cloud systems • Experience building and deploying full-stack ML pipelines, from data ingestion to model training, testing, and deployment (preferred) • Edge deployment or real-time optimization know-how (preferred) • Experience in working with CVML & Robotics projects (preferred) • Experience with multi-view geometry or SLAM (preferred) • Experience in the vehicle autonomy space (preferred) • Experience in metrics implementation, analysis, and dashboarding (preferred) • Knowledge of robotics libraries such as ROS / ROS2 (preferred) • Visa sponsorship is not available for this position (must be authorized to work in the United States)
• Eligibility for Blue River’s bonus and benefit programs • Investing in recruiting, mentorship, career development, and learning & development programs • Inclusive workplace that promotes and values diversity • Support for employees to live a full life and enable a thriving career • Reasonable accommodation for individuals with disabilities during application, interview, and employment processes
Apply NowSeptember 17
Lead maintenance of Treering's AI photo-analysis APIs; improve models, manage AWS infra, and automate photobook generation.
🇺🇸 United States – Remote
💵 $180k - $200k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
AWS
Cloud
Python
September 12
Perform research operations and manage experiments for Helm.ai's autonomous driving AI. Characterize neural network failures and report results.
🇺🇸 United States – Remote
💵 $150k - $250k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Python
September 12
MLOps Engineer building production ML infrastructure and pipelines for modern AI applications, enabling model deployment, observability, and agent orchestration.
Distributed Systems
Grafana
Kubernetes
Prometheus
Python
Terraform
Go
September 10
Design and operate cloud-based ML and fleet automation for Diligent Robotics' service robots; improve monitoring, provisioning, and SRE practices.
🇺🇸 United States – Remote
💰 $30M Series B on 2022-04
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Amazon Redshift
Ansible
AWS
Azure
Cloud
Google Cloud Platform
Kafka
Linux
Microservices
Postgres
Python
SDLC
Terraform
September 5
Build, train, and deploy AWS-native ML models and MLOps for Burq's delivery logistics platform. Collaborate with engineers to scale AI-powered automation features.
🇺🇸 United States – Remote
💰 Pre Seed Round on 2021-06
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
AWS
Docker
DynamoDB
ETL
Python
React
Tensorflow
TypeScript