Design and run AI/ML experiments and evaluation frameworks for LLMs, analyze results, build scalable research tools in Python, maintain reproducible code, collaborate across research and engineering teams, and produce technical reports.
We are seeking highly skilled and research-driven AI professionals to join an exciting opportunity focused on advancing next-generation AI technologies. This role is ideal for candidates with strong expertise in Machine Learning, Large Language Models (LLMs), experimental research, and data analysis who are passionate about solving complex challenges in a collaborative, cutting-edge environment.
Position : Research Engineer / AI Research Scientist
Location: Remote (USA)
Working Hours: 35 Hours per Week
Payment Terms: 30 - 45 days from the date of invoice.
Key Responsibilities
- Design, develop, and execute AI/ML experiments and evaluation frameworks.
- Build and improve AI benchmarking methodologies for large language models and related systems.
- Analyze experimental results and provide data-driven insights.
- Develop scalable research tools using Python.
- Collaborate with cross-functional research and engineering teams.
- Maintain clean, reproducible code using Git and modern development practices.
- Contribute to research documentation and technical reports.
Required Qualifications:
- Master's or PhD in a STEM discipline such as:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Statistics
- Mathematics
- Physics
- Computational Sciences
- Or a related technical field
- Experience in one or more of the following roles:
- Research Engineer
- Research Scientist
- Applied Scientist
- Machine Learning Engineer
- AI Researcher
- Data Scientist
- Strong proficiency in Python.
- Hands-on experience with Machine Learning, Large Language Models (LLMs), experimentation, and data analysis.
- Experience using Git, IDEs, and Jupyter Notebook/Google Colab environments.
- Excellent analytical, research, and problem-solving skills.
Preferred Qualifications
- Experience with AI evaluation, benchmarking, testing, or red teaming.
- Research publications or notable contributions to AI/ML projects.
- Experience designing and conducting experimental research.
- Familiarity with modern AI evaluation methodologies and benchmark development.
Ideal Candidate
We are looking for candidates who possess:
- Strong research aptitude and scientific thinking.
- Excellent coding and debugging skills.
- Ability to work independently in a remote environment.
- Passion for advancing state-of-the-art AI systems.
- Strong communication and collaboration skills.
Compensation
- Schedule: 35 hours per week
- Work Location: Remote (Within the United States)
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