Data Scientist, Early Career
Jobright.ai · United States
- Hybrid
- Full-time
- $95,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Build and scale production AI agents.
- Develop predictive models and ML algorithms.
- Optimize LLM prompts and RAG pipelines.
- Analyze user data for product insights.
- Requires Python, ML libraries, and LLM understanding.
About the role
About Jobright.ai
Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. We 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
Qualifications
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
Key skills/competency
- AI Engineering
- Machine Learning
- LLM Optimization
- Prompt Engineering
- RAG Pipelines
- Statistical Analysis
- Python Programming
- PyTorch
- TensorFlow
- Scikit-learn
Skills & topics
- AI Engineer
- Machine Learning
- Python
- LLM
- Prompt Engineering
- RAG
- Data Science
- Computer Science
- Generative AI
- Autonomous Agents
How to get hired
- Tailor your resume: Highlight Python, ML libraries (PyTorch, TensorFlow, Scikit-learn), LLM experience, and any NLP/agent research.
- Showcase your projects: Emphasize any practical experience building AI agents or deploying models, even from academic work.
- Prepare for technical questions: Be ready to discuss LLM architectures, prompt engineering techniques, and statistical analysis methods.
- Demonstrate communication: Practice explaining complex AI concepts clearly, as you'll articulate technical findings to the team.
- Address location requirement: Confirm you reside in and are authorized to work in the United States.
Technical preparation
Practice Python coding and ML library usage.,Study LLM architectures and prompt engineering.,Prepare to explain RAG pipeline concepts.,Review statistical analysis and data interpretation.
Behavioral questions
Describe a complex AI project you completed.,How do you handle ambiguous project requirements?,Explain a technical concept to a non-technical person.,How do you approach optimizing model performance?
Frequently asked questions
- What is Jobright.ai looking for in an AI Engineer?
- Jobright.ai is seeking an AI Engineer with a strong foundation in Python, machine learning libraries like PyTorch, TensorFlow, or Scikit-learn, and a practical understanding of LLM architectures and prompt engineering. They value candidates who can develop and deploy AI agents and analyze data for product improvement.
- What kind of experience is preferred for the AI Engineer role at Jobright.ai?
- Preferred experience for the AI Engineer role includes internships or research in Natural Language Processing (NLP), autonomous agents, or recommendation systems. Experience with data pipelines, cloud infrastructure (AWS/GCP/Azure), and SQL for data management is also beneficial.
- What are the key responsibilities of an AI Engineer at Jobright.ai?
- Key responsibilities include developing and deploying predictive models and ML algorithms for AI agents, experimenting with LLM prompts and RAG pipelines, conducting statistical analysis on user data, and monitoring model performance. The role involves the full lifecycle of AI agents from prototype to production.
- Does the AI Engineer position at Jobright.ai require specific programming languages or tools?
- Yes, strong programming skills in Python are required, along with proficiency in machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn. A practical understanding of LLM architectures, prompt engineering, and generative AI evaluation is also essential.
- What is the educational background expected for the AI Engineer at Jobright.ai?
- The AI Engineer role is targeted at recent graduates or entry-level professionals with 0-2 years of experience. A degree in Data Science, Computer Science, Statistics, or a related quantitative field is required.
- Can I apply for the AI Engineer job at Jobright.ai if I am not based in the United States?
- No, candidates must live in and be authorized to work in the United States to be considered for this AI Engineer position at Jobright.ai.
- What kind of impact can an AI Engineer have at Jobright.ai?
- As an AI Engineer at Jobright.ai, you will have high ownership and impact by building real, production AI agents that are used by actual users, directly shaping the future of AI-driven job search.
- How does Jobright.ai describe its work environment for AI Engineers?
- Jobright.ai describes its work environment as being at the intersection of AI, agents, and product, offering opportunities to build cutting-edge technology and significantly influence how people experience AI-driven job search.