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.
We are seeking an experienced and dynamic machine learning & artificial intelligence engineering manager to lead our talented team of machine learning engineers and data scientists as both a team leader and an individual contributor. This role will focus on leading a team to build models that process 2D and 3D renders, performing feature extraction, and analyzing imagery to deliver data-driven insights to our customers. You will both oversee and contribute to end-to-end machine learning development, from data acquisition and preprocessing to model deployment and continuous improvement, along with ensuring the team aligns with Agerpoint’s strategic goals.
Key Responsibilities
- Lead the design, development, and deployment of ML & AI models focused on feature extraction from 2D and 3D data (lidar and imagery), using our ML CI/CD workflow as well as contributing to development.
- Drive research and development efforts to enhance models' accuracy, efficiency, and scalability in a production environment.
- Collaborate with cross-functional teams, including software developers, product managers, and subject-matter experts in agriculture and forestry, to identify customer pain points and solution opportunities.
- Oversee data acquisition and preprocessing pipelines, ensuring data quality and integrity for machine learning models.
- Develop and implement innovative feature extraction techniques that can translate visual and spatial data into actionable insights for plant and tree health, growth, and resource management.
- Mentor, coach, and manage a team of machine learning engineers and data scientists, fostering a culture of innovation and continuous learning.
- Ensure timely and high-quality delivery of machine learning solutions that align with customer and business needs.
- Stay up to date with the latest advancements in machine learning, computer vision, and geospatial analysis, integrating relevant advancements into Agerpoint’s platform.
- Coordinate closely with the executive team to align machine learning strategies with the company’s long-term vision for digital twins and data-driven insights.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field preferred.
- 7+ years of experience in developing machine learning models, particularly in the fields of computer vision, 3D data processing, and feature extraction.
- Proven track record of leading machine learning teams and managing full-cycle model development (from R&D to production).
- Strong experience with tools and libraries such as TensorFlow, PyTorch, OpenCV, and other machine learning frameworks.
- Experience working with 2D and 3D data sources such as lidar, camera imagery, and point clouds.
- Familiarity with geospatial data processing, GIS, Photogrammetry, Neural Radiance Fields, and remote sensing data analytics.
- Solid understanding of agriculture and/or forestry applications is a plus.
- Strong communication and leadership skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- A passion for innovation, sustainability, and making a positive impact in agriculture and forestry.
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.
