[Remote] Machine Learning Engineer, Model Development — Entry Level
Note: The job is a remote job and is open to candidates in USA. Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. The Entry-Level Machine Learning Engineer will develop, evaluate, and optimize models that enhance our AI-driven job search experience, working with datasets and training workflows.
Responsibilities
- Train and evaluate machine-learning models
- Build reliable datasets and feature pipelines
- Design experiments and compare modeling approaches
- Optimize model accuracy, latency, and resource usage
- Investigate errors and model failure patterns
- Partner with engineers to deploy and monitor models
Skills
- Bachelor's or master's degree in Machine Learning, Computer Science, Statistics, or a related field
- Strong Python programming skills
- Understanding of supervised learning, optimization, and evaluation
- Familiarity with NumPy, pandas, and ML frameworks
- Strong analytical and debugging skills
- Experience with PyTorch, TensorFlow, or deep learning
- Familiarity with model deployment and monitoring
- Experience with NLP, ranking, or recommendation systems
- Previous research, internship, or machine-learning project
Company Overview
- Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. It was founded in 2023, and is headquartered in Santa Clara, California, USA, with a workforce of 2-10 employees. Its website is https://jobright.ai.