
Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.

Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.
What they do: AI-native job platform offering a proactive "career agent" that finds, customizes, and can submit applications for job seekers
Founded / HQ: Founded 2023; headquartered in Santa Clara, California
Recent funding: Seed round $3.2M announced June 24, 2025 led by Translink Capital
Traction: Reported user base of ~520,000 (company blog)
Job search efficiency and application automation for job seekers (including international applicants).
2023
Software Development
$3.2M
Participation reported from HR Tech Investments
Verified Job On Employer Career Site
Job Summary:
Ever.Ag offers innovative AgTech solutions and services that empower agriculture, food, and beverage supply chains to feed a growing world. The Data Scientist ML role will focus on training ML models and delivering excellent customer experiences while working directly with clients. This part-time position requires a commitment of 20 hours a week.
Responsibilities:
• Projects involving machine learning (ML) models in applications areas, estimating the performance gain and building a case for further development.
• Build machine learning components for the Ever.Ag Data Science application platform.
• Help configure and deploy ML models in customer implementations.
• Help support pre-existing customer implementations.
• Utilize statistical analysis to identify trends in customer and market data.
• Collaborate on project data requirements, gather and validate information, and apply judgment and statistical tests to devise problem-solving actions.
• Perform tests to ensure the accuracy of the models.
• Work with existing tools and modeling techniques to solve the problem at hand. Work with a team of services professionals to deliver high-value products in a Software as a Service (SaaS) environment.
• Report to the customer leadership teams on solutions and assist with decision making.
• Potential to drive to and from customer or job sites, while safely operating a company-provided or personal vehicle and adhering to all traffic laws and safety regulations, including no handheld phone use while driving.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor's or higher degree, preferably master’s or Ph.D., in a relevant field (e.g., Data Science, Computer Science, Engineering, Statistics). PhD candidates welcome.
• Typically, 2+ years’ experience in building machine learning and/or forecasting models for academic/enterprise applications.
• Experience implementing a breadth of different modelling approaches/ techniques in machine learning.
• Experience manipulating and preparing large data sets to support advanced analytics.
• Demonstrated ability to iteratively conceptualize, design and build data pipelines.
• Hands on experience with common analysis and version control tools (SQL, Python, GitHub).
• Demonstrable familiarity with code and programming concepts.
• Collaborative, open, and respectful working style.
• Must be able to operate a motor vehicle safely and legally while complying with all applicable traffic laws and company policies, including the use of hands-free communication devices.
• Must maintain a valid driver's license and an acceptable driving record.
• Excellent written and verbal communication: Presents oneself clearly and articulately when speaking, assuring that others fully comprehend the intended message; Uses appropriate grammar tailored to the audience.
• Analytical and Critical Thinking: Review and manage data with strong attention to detail; combine facts with likely possibilities; articulate and resolve complex problems.
• Quality Focused: A recognition of the value of doing things the right way; having a high sense of integrity and thoughtfulness in your actions.
• Math Ability: Ability to calculate figures and amounts. Ability to work with mathematical concepts such as probability and statistical inference.
• Reasoning Ability: Ability to think critically and solve problems with a variety of variables in situations where, at times, only limited standardization exists. The ability to define problems, collect data, establish facts, and draw conclusions. Ability to interpret a variety of technical instructions furnished in written, oral, diagram, or schedule form.
• Action Oriented: A bias for action, when you see a problem, you solve it using your technical savvy and internal resources.
Preferred:
• Familiarity with cloud-based technologies such as AWS is a plus.
Company:
EverAg is a agtech provider dedicated to empowering agriculture, food, and beverage supply chains to feed a growing world. It is a sub-organization of ever.ag. Founded in 2002, the company is headquartered in Frisco, Texas, USA, with a team of 501-1000 employees. The company is currently Late Stage. Ever.Ag has a track record of offering H1B sponsorships.