Senior Machine Learning Engineer

Key Skills

Algorithms, Analytical and Problem solving, Effective communication skills, Leadership Skill, Machine learning techniques, PyTorch, TensorFlow

Job Description

As a Sr. Machine Learning Engineer at FarmWise, you will play a pivotal role in leading and executing research and development initiatives. You will focus on advanced topics such as panoptic segmentation models for plant and weed detection, optimization of embedded models, 3D visual odometry, etc. You’ll be part of a team of Data and Machine Learning engineers. This role encompasses the entire machine learning lifecycle, from defining state-of-the-art methodologies to deploying sophisticated solutions into production environments and maintaining automated and robust data pipelines.

Responsibilities:

• Lead and collaborate with cross-functional teams to identify and define complex machine learning challenges in agriculture.
• Design, develop, and implement advanced machine learning algorithms, with a focus on automated diagnosis of mislabeled images and model robustness.
• Conduct in-depth research to establish and integrate state-of-the-art approaches in machine learning domains.
• Design and execute comprehensive experiments to evaluate and optimize machine learning models.
• Collaborate closely with the engineering team to successfully deploy advanced models into production environments.
• Mentor and guide junior team members, fostering a culture of continuous learning and improvement.

Qualifications:

• Extensive experience in Python, PyTorch, and other relevant machine learning frameworks.
• Proven track record of successfully leading and implementing machine learning projects, with a focus on computer vision and related domains.
• Strong problem-solving skills, analytical mindset, and ability to thrive in a fast-paced environment.
• Excellent communication skills, both technical and non-technical, and a commitment to mentorship.

What we Offer:

• Join a dynamic team of industry experts dedicated to making a positive impact on agriculture through technological innovation.
• Work with cutting-edge technologies and contribute to the development of groundbreaking solutions.
• Enjoy a hybrid-remote work policy, providing flexibility to accommodate your work preferences.

Hiring Process:

• HR Interview
• Technical Interview
• Take-home challenge
• In person interviews with various team members