Cery

About Us

Cherry is a fast-growing market place for buying, selling, leasing, and auctioning commercial vehicles and equipment. We’re building an industry-first valuation engine that helps our users make informed decisions in seconds. Now, we’re looking for a Machine Learning Engineer who can bring strong expertise in predictive modeling, and ideally document automation using AI.

Role Overview

We are seeking an experienced ML specialist to build models that predict market prices for trucks and equipment based on auction results, historical sales, and vehicle specifications. This role will also involve setting up automated data pipelines, scraping structured and semi-structured data, and optionally working on generating intelligent reports or documents from data.

Key Responsibilities

• Build and refine price prediction models using data from auction sites, dealership listings, and historical records.
• Design and maintain data scraping pipelines will be a plus (e.g., BeautifulSoup, Selenium, Scrapy) to gather auction and sale data from multiple public sources.
• Clean, normalize, and store data efficiently for training and inference.
• Apply feature engineering techniques on specs like make, model, mileage, year, VIN, etc.
• Work closely with product and engineering teams to deploy models in production.
• (Optional but valued): Use NLP or generative AI to create documents or listing descriptions automatically.

Requirements

• Proven experience in machine learning with a focus on regression/predictive models.
• Strong Python skills; familiar with tools like Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
• Experience in web scraping is a plus (BeautifulSoup, Scrapy, etc.).
• Familiarity with model evaluation metrics for regression (e.g., RMSE, MAE).
• Comfortable working with structured data (CSV, JSON, APIs) and preprocessing pipelines.
• Fluent in Git and version control workflows.
• Experience deploying or working with models in production (FastAPI, Flask, AWS/GCP preferred).

Nice to Have

• Familiarity with automated document generation, AI agents, or LLM APIs (OpenAI, Langchain).

   

About CherryTrader
CherryTrader is a dynamic product company building a cutting-edge digital marketplace designed to transform the way users connect and trade online. As we continue scaling our platform, we are seeking a talented Backend Developer to join our engineering team and contribute to the development of robust, scalable backend systems.

Role Overview
As a Backend Developer at CherryTrader, you will play a key role in building and maintaining backend services and APIs for our platform. This role is ideal for a strong Junior or Middle-level developer who is passionate about backend technologies, system design, and writing clean, maintainable code in a collaborative environment.

Key Responsibilities

• Develop, test, and maintain backend services and APIs using Go (Golang)
• Collaborate with team members through Git and resolve merge conflicts efficiently
• Design and implement features using SOLID principles, design patterns, and Clean Architecture
• Work with SQL-based databases, writing optimized and reliable queries
• Build and integrate RESTful APIs for internal and external services
• Participate in code reviews and contribute to architectural discussions

Required Qualifications

• 1+ year of experience working with Go (Golang)
• Solid understanding of SQL databases and relational data modeling
• Practical experience with Git in a team environment, including resolving conflicts
• Familiarity with Clean Architecture, design patterns, and SOLID principles
• Experience developing and consuming REST APIs
• Strong problem-solving skills and attention to detail
• Ability to work effectively in a collaborative, remote-first team

Preferred Qualifications (Nice to Have)

• Experience with Google Cloud Platform (GCP)
• Hands-on knowledge of Google Cloud Spanner or other distributed SQL databases
• Understanding of microservices architecture
• Familiarity with gRPC

What We Offer

• Opportunity to work on a growing, high-impact marketplace product
• Collaborative and supportive engineering team
• Remote-first work culture with flexible working hours
• Competitive compensation based on experience and qualifications