CVML Engineer - Modeling, See & Spray

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. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction. 

Our people are at the heart of what we do. Through cross-discipline collaboration, this mission-driven team is eager to define the new frontier of 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 the planet!

Blue River Technology is based in Santa Clara, CA.

Summary

We are looking for a highly motivated individual to join our team in the role of CVML Engineer. You will be joining a world-class research and engineering team to provide critical skills in improving existing systems and pushing the boundaries of this technology. You will be involved in the entire CVML development lifecycle, including data collection and preprocessing, algorithm design, model training and evaluation, and integration into our existing systems. You will have the opportunity to release CVML models for thousands of farmers across the world and play a crucial role in shaping the future of precision agriculture.

Job Responsibilities

A combination, not necessarily all-inclusive, of the following:

• Design and build ML products that satisfy requirements from a broad set of stakeholders.
• Put CVML and Foundation Models to work for data cleaning, enrichment, and selection to build high-quality datasets for training CVML models.
• Train and fine-tune CVML models using both existing and custom datasets.
• Model performance evaluation through rigorous testing and validation.
• CVML algorithm and model design for real-time performance and resource-constrained environments.
• Research in the CVML field and exploration of potential applications for our company.

Required Experience and Skills

• 2 or more years of experience in related CVML field. 
• Understanding of the foundations of machine learning and computer vision, including image processing, feature extraction, object detection, and classification.
• Proficiency in Python and some knowledge in C++; foundations of software engineering.
• Familiarity with deep learning frameworks, such as PyTorch or TensorFlow.
• Familiarity with CVML libraries and tools, such as OpenCV, scikit-learn.
• Understanding of the foundations of data science and statistics, including authoring and communication of data analyses.
• Strong problem-solving and analytical skills with a keen attention to detail.
• Ability to work collaboratively in a team environment and effectively communicate complex technical concepts.
• Passion for emerging technologies, artificial intelligence, and computer vision.
• Bachelor's degree in Computer Science, Electrical Engineering, or a related field. 

Preferred Experience and Skills

• Prior experience or coursework in CVML projects or research.
• Familiarity with cloud-based technologies. 
• Experience with edge computing platforms, embedded systems, or GPU programming.
• Understanding of optimization techniques for CVML algorithms and models.
• Contributions to open-source CVML projects or participation in Kaggle competitions.
• Master's degree in Computer Science, Electrical Engineering, or a related field.

At Blue River, we’re passionate about creating an inclusive workplace that promotes and values diversity.  While we have more work to do to advance diversity and inclusion, we’re investing in our programs, including recruiting, mentorship, career development, and learning & development to ensure they support our Diversity, Equity, and Inclusion goals. We support each employee in living a full life, enabling a thriving career, and accomplishing a meaningful, challenging mission while collaborating with incredible people. We are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anyway.

We are an equal-opportunity employer and do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation. 

The US annual base salary range for this position is $129,000 - $193,000, along with eligibility for Blue River’s bonus and benefit programs.

Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. During the recruitment process, we may identify an alternative role or level to which you are more suited. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process.

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