[Hiring] Research Engineer / AI Research Scientist @Summa Linguae Technologies

Role Description

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.

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

• 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)