Machine Learning Scientist
Agerpoint
Software Engineering
Triangle, NC, USA
Posted on Friday, March 31, 2023
Welcome to Agerpoint
Agerpoint provides digital ground truth to sustain our food system and protect our natural environments.
Using artificial intelligence, high performance computing, computer vision and advanced analytics, the Agerpoint platform fuses together sensor data from the ground or air with other datasets and human observations to create digital twins that enable better decision-making for clients across agriculture, forestry and conservation.
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 and carbon sequestration potential, 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.
About this Role
You believe in our mission to improve quality of life for our planet’s inhabitants and mitigate climate change by enabling a transformational shift in how we measure and monitor plants, crops and forests. In this role, you will work closely with our computation and software development teams to build and deploy machine learning models that drive core functionality of the Agerpoint platform. This role reports to the VP of Technology.
Responsibilities
- Develop and implement machine learning algorithms to solve complex problems in the agriculture, forestry, and nature sectors
- Develop models for prediction, classification, and anomaly detection including identification of plant species, pests, disease and health
- Work with data scientists, agronomists and product developers to develop and to deploy and scaled machine learning models into production
- Conduct research and stay up-to-date on the latest advancements in machine learning and data analysis
- Work with internal and external stakeholders to identify and define requirements for new machine learning features and functionality
- Communicate results and findings to both technical and non-technical stakeholders
- Continuously evaluate and improve the performance of existing machine learning models and manage model branches and libraries
- Participate in code reviews and provide feedback to the software development team
Qualifications
- Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or related fields
- 3+ years of experience in machine learning, data analysis, and statistical modeling
- Strong programming skills in Python, Java, or similar languages
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience with big data processing frameworks such as Hadoop or SparkBasic understanding of GIS systems
- Experience with data mining tools such as SAS, SPSS, or R
- Strong analytical and problem-solving skills
- Excellent communication and teamwork skills
- Experience with agriculture, forestry, or nature-related data is a plus
Perks:
Paid company holidays and vacation
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 recruiting@agerpoint.com.
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.
See more open positions at Agerpoint
Something looks off?