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Jobright.ai · United States

Data Scientist, Early Career

entry_levelfull timePosted 2 days ago
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Stack mentioned

agentic-aillmragstatisticspythonpytorchtensorflownlpetlawsgcpazuresqldata-sciencemachine-learningdata-structuresprompt-engineeringgenerative-airecommender-systems

Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. They are seeking an AI Engineer to build and scale business-facing AI agents, managing the entire lifecycle from prototype to production.

Why Join Us

- Build real, production AI agents used by real users

- High ownership and impact

- Work at the intersection of AI, agents, and product

- Shape how people experience AI-driven job search

Responsibilities

- Develop and deploy predictive models and machine learning algorithms that power the core logic of our production AI agents

- Experiment with and optimize Large Language Model (LLM) prompts, fine-tuning techniques, and RAG pipelines to improve agent performance and reliability

- Perform deep-dive statistical analysis on user interaction data to identify patterns that drive product improvements and feature innovation

- Monitor model performance and provide technical support during critical product iteration cycles

Qualification

Required

- Recent graduate or entry-level professional (0–2 years of experience) with a degree in Data Science, Computer Science, Statistics, or a related quantitative field

- Strong programming skills in Python and proficiency with machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn

- Practical understanding of LLM architectures, prompt engineering, and the evaluation of generative AI outputs

- Excellent communication skills with the ability to articulate technical methodology and complex modeling results to the broader team

- Must live in and be authorized to work in the United States

Preferred

- Previous internship or research experience focused on Natural Language Processing (NLP), autonomous agents, or recommendation systems

- Experience building and maintaining data pipelines and working with cloud infrastructure (AWS/GCP/Azure)

- Strong technical foundation in SQL and database management for efficient data extraction and feature engineering

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