ML/AI Engineer

Welcome to Agerpoint

Agerpoint is reshaping how agriculture and nature field data is captured, analyzed and managed. Building upon a decade of innovation and a deep IP portfolio, Agerpoint today brings technology to customers across agriculture, restoration and conservation using smartphones and tablets to affordably acquire ground truth data and uses automated analytics to extract plant measurements and insights. Combined with other 3rd party data, this digital twin platform for crops and forests equips public and private sector organizations with unprecedented transparency across the food supply chain and protected natural environments.

The Agerpoint Capture mobile application allows users to capture 3D models of crops and trees via a smartphone or tablet, upload models to the cloud to assess health, yield, species, biomass, and more. Customers can then derive insights from these models with Agerpoint Cloud, a spatial data platform that leverages machine learning for detailed plant-level insights.

Agerpoint was selected as a 2022 Technology Pioneer company by the World Economic Forum, recognized as one of the world’s most promising start-ups that are at the forefront of technological and business model innovation. Agerpoint’s Know Your Carbon™ offering was selected as winner of the Carbon Market Challenge as announced at the United Nations COP26 Climate Summit.

The company is headquartered in Research Triangle Park, North Carolina at the Alexandria Center for AgTech - the country's first and only integrated multi-tenant, collaborative and amenity-rich R&D and greenhouse site.

Key Responsiblities

• This hybrid position reports to the Research Triangle Park, NC location. Eligibility is limited to US citizens or green card holders only.
• Model Development: Design and implement innovative 2D and 3D ML/AI models leveraging agriculture and nature datasets.
• Computer Vision Techniques: Develop advanced computer vision algorithms for analyzing diverse data types, including imagery from handheld cameras, drones, aircraft, satellites, LIDAR, and point clouds.
• Data Solutions: Work with heterogeneous datasets to create scalable and robust solutions, utilizing deep learning frameworks such as PyTorch, TensorFlow, Keras.
• MLOps: Contribute to machine learning operations (MLOps) workflows, including model deployment, retraining, testing, and performance monitoring.
• GIS and 3D Integration: Utilize GIS and 3D modeling tools to transform geospatial and 3D data into actionable insights.
• Cross-functional Collaboration: Collaborate with software developers, product managers, and subject-matter experts to address customer needs effectively.
• Continuous Learning: Stay updated on advancements in ML/AI and 3D modeling, applying relevant developments to enhance project outcomes.
• Mentorship: Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and innovation.

Qualifications

• We seek an individual with a solid background in Machine Learning and familiarity with contemporary ML tools.
• Bachelor’s or Master’s degree in Computer Vision, Computer Science, Engineering, Applied Mathematics, or a related discipline.
• At least 2 years of experience in AI/ML development.
• Demonstrated history of producing high-quality software (e.g., on GitHub)
• Strong programming skills in Python or C++.
• Experience in libraries such PyTorch, TensorFlow, SciPy, NumPy, Pandas, Sci-kit-learn, OpenCV, Matplotlib, MLflow, Transformers, Shapely, GeoPandas or Rasterio.
• Exceptional analytical skills with a proven ability to address complex challenges.
• Strong interpersonal skills, with the ability to excel in a collaborative, interdisciplinary environment.

Nice to Have

• Experience in agriculture, forestry, or environmental monitoring.
• Proficient in biodiversity modeling, species identification, ecosystem management, or sustainability metrics.
• Skilled in adapting machine learning pipelines.
• Familiarity with 3D modeling tools and structure from motion (SfM), such as COLMAP, GARField NeRF Studio.
• Proficiency in GIS platforms and tools like QGIS or similar.
• Experience with enterprise platforms such as Jira and Databricks.
• Knowledge of remote sensing data and 3D sources (e.g., LiDAR, satellite imagery, point clouds) and geospatial datasets.
• Experience with cloud platforms/providers (Azure, AWS, GCP).

Perks

• Paid company holidays and unlimited PTO
• Remote friendly and flexible work environment
• Company paid healthcare benefits
• Equity options for full-time employees
• Access to fully equipped, EXOS-operated fitness center with on-site wellness coaches and on-site eatery (for employees in Research Triangle Park, NC)

Agerpoint is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Agerpoint is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

Note to Recruiters: 

Agerpoint does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Agreement, Agerpoint will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed Agreement, Agerpoint explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of Agerpoint.