Deep Learning Engineer

About the role

Join our dynamic team of innovators dedicated to advancing precision agriculture. As a key member of the LaserWeeder G2 team, you will be responsible for developing and implementing advanced laser weeding technologies that enhance crop yields and sustainability.

Responsibilities

• Develop and refine laser weeding algorithms to improve weed control efficiency.
• Collaborate with cross-functional teams to integrate laser weeding technology into farming operations.
• Conduct research and development on new agricultural technologies.
• Write technical documentation and present findings at industry conferences.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Science, Agricultural Engineering, or a related field.
• Experience with machine learning and data analysis.
• Strong problem-solving skills and ability to work independently and as part of a team.
• Excellent communication and presentation skills.

Qualifications

• Knowledge of agricultural practices and equipment.
• Experience with Python, MATLAB, or similar programming languages.
• Understanding of agricultural sensors and data collection systems.

Skills

• Technical proficiency in software development and data analysis.
• Ability to work in a fast-paced, dynamic environment.
• Strong analytical and problem-solving skills.

Benefits

• Competitive salary and benefits package.
• Flexible working hours and remote work options.
• Opportunities for professional growth and advancement.

Pay

Salary range: $80,000 - $120,000 annually.

Schedule

Full-time position with flexible working hours.