CVML Engineer, See and Spray

Summary

We are seeking a highly motivated individual to join our team as a junior/early-career CVML Engineer. This position supports the See & Spray CVML team within Blue River Technology and works in a multi-disciplinary team with the mission of bringing See and Spray to farms around the world. Our ideal candidate will play a crucial role in implementing Data-Centric AI practices for the See & Spray project. You have an analytical mind and take a data-driven approach to answering questions. Your contributions will be instrumental in driving the success of our machine learning initiatives and enabling evidence-based decision-making throughout the company.

• Employment Type : Full-Time
• Work Location : Remote in the United States
• Visa sponsorship : Open to visa sponsorship.

Job Responsibilities

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

• Execute reproducible experiments on our large data catalog to further the understanding of model performance.
• Implement and evaluate novel CVML techniques, ranging from CNNs to large Transformer-based Foundation models, to improve our products.
• Execute and improve existing rigorous model evaluation pipelines.
• Collaborate on debugging and troubleshooting issues in ML models.
• Lean into the responsible use of AI for software development.

Required Experience and Skills

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• 1-2 years of relevant engineering work experience.
• Understanding of the fundamentals of statistical learning.
• Familiarity with the Python data science and ML stack: PyTorch, NumPy, pandas, scikit-learn.
• 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.

Preferred Experience and Skills

• Prior experience or coursework in CVML, natural sciences, and reproducible research.
• Knowledge of data visualization best practices and effective storytelling with data.
• Understanding of data modeling and database design principles.
• Familiarity with agricultural technology, agronomy, or farming.

For this position, the reasonably expected pay range is between $100,000 – $176,000/year for the level at which this job has been scoped. This position is also eligible for an annual performance bonus and a competitive benefit package.

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.