Company Overview
At FarmWise, we harness the power of AI to find solutions to combat food production challenges, and help growers thrive in this new farming era. We work hand in hand with growers to understand their constraints, address their priorities, and build products that are changing their lives for good. We’re a diverse team of analytical problem-solvers who are deeply motivated by challenges. We value open communication and a dedication to self-improvement. If you are interested in working on technology that will have a big impact on agriculture. Join us!
Internship Overview
As a Machine Learning Intern at FarmWise, you will have the opportunity to engage in multiple research and development topics, including automated ML-based diagnosis of mislabeled images and enhancing ML model robustness to external variability. The internship will encompass the entire cycle of machine learning, from establishing state-of-the-art methodologies, conducting experiments, to deploying the most effective approaches into production environments.
Responsibilities:
- Conduct thorough research to establish state-of-the-art approaches in relevant machine learning domains.
- Develop and implement machine learning algorithms, particularly focusing on automated diagnosis of mislabeled images and improving model robustness.
- Design and execute experiments to evaluate and refine machine learning models.
- Collaborate with the engineering team to deploy successful models into production environments.
- Actively participate in knowledge sharing and contribute insights to the team.
Qualifications
- Proficiency in Python, PyTorch, and relevant machine learning frameworks.
- Strong foundation in machine learning, computer vision, and related domains.
- Ability to work independently and collaboratively in a fast-paced environment.
- Excellent problem-solving and analytical skills.
- Effective communication skills and a dedication to self-improvement.
What we Offer:
- Work alongside industry experts who are passionate about making a positive impact in the world of agriculture.
- Engage in a hybrid-remote work policy, providing flexibility to accommodate diverse work preferences.
- Gain hands-on experience with cutting-edge technologies and contribute to the development of revolutionary solutions in agriculture.
Hiring Process:
- HR Interview
- Technical Interview
- In person (or Video) interviews with various team members
FarmWise is an equal opportunity employer, and we encourage applicants from all backgrounds to apply. If you are passionate about pushing the boundaries of technology in agriculture, we look forward to receiving your application!
