Senior Machine Learning Engineer Full-time

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!

Job Overview:

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.

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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.

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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.

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Hiring Process:

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

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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!