Deep Learning Engineer for Precision Agriculture

Carbon Robotics; Seattle (WA); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

Competitive salaries

Pre-IPO Stock Options

Fully-paid medical, dental, and vision insurance

Flexible PTO

401(k) plan

Pet Insurance

Job summary

An innovative technology company in Seattle is seeking a Deep Learning Engineer to lead projects focused on developing cutting-edge deep learning architectures for agricultural applications. You will be responsible for model optimization and mentoring junior engineers, ensuring high-quality deployments in operational settings. The ideal candidate has between 2 to 7 years of experience in deep learning and is proficient in C++ and frameworks like PyTorch. The position requires regular in-office work, promoting a collaborative team environment.

Qualifications

• 2–7 years of experience in deep learning model optimization and deployment.
• Proven track record taking ML projects from inception through business impact.
• Strong expertise in modern object detection techniques.

Responsibilities

• Lead design and execution of experiments for deep learning architectures.
• Drive end-to-end ML workflows from data strategy to deployment.
• Mentor and provide guidance to mid-level and junior engineers.

Skills

Deep learning architecture design

Computer vision systems

Model optimization

C++ proficiency

Communication skills

Education

BS+ in Computer Science, Machine Learning, or related field

Tools

PyTorch

Job description

An innovative technology company in Seattle is seeking a Deep Learning Engineer to lead projects focused on developing cutting-edge deep learning architectures for agricultural applications. You will be responsible for model optimization and mentoring junior engineers, ensuring high-quality deployments in operational settings. The ideal candidate has between 2 to 7 years of experience in deep learning and is proficient in C++ and frameworks like PyTorch. The position requires regular in-office work, promoting a collaborative team environment.