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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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
