Blue River Technology

CVML Engineer, See and Spray

Blue River Technology$100K — $176K *
US-AnywhereRemote in United States
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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.
  • Ability to work collaboratively and communicate complex technical concepts clearly.
  • Passion for emerging technologies, AI, and computer vision.

Responsibilities

  • Execute reproducible experiments on large datasets to analyze model performance.
  • Implement and evaluate novel CVML techniques to enhance product development.
  • Improve existing model evaluation pipelines for accuracy and efficiency.
  • Collaborate in debugging and troubleshooting ML model issues.
  • Champion the responsible application of AI in software development.

Benefits

  • Flexible work environment with remote options across the U.S.
  • Opportunities for visa sponsorship available.
  • Diverse and inclusive workplace culture.
  • Programs to support career development and mentorship.
  • Performance bonus eligible as part of compensation.
Full Job Description
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 (you!) 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.

Only individual applicants will be considered. We do not work with unsolicited third-party agencies or proxy interview services.

At Blue River, your base pay is one part of your total compensation package. 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. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. This position is also eligible for an annual performance bonus and a competitive benefit package. 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.

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.

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
Founded
2011

Similar Jobs

More Jobs at Blue River Technology

More Consumer Technology Jobs

Find similar CVML Engineer, See and Spray jobs: