About Us: FLUIX AI is an innovative and rapidly growing Enterprise B2B SaaS startup based in the San Francisco Bay Area. We specialize in providing AI-driven solutions for data centers and facilities, leveraging cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) technologies. Our mission is to optimize the world’s critical infrastructure, starting with the most essential buildings—those that provide communication, data, food, and other vital resources. Our platform, A.I.M.I. (Artificial Intelligence for Managing Infrastructure), is set to revolutionize the way facilities operate through automation and real-time optimization.
Role Overview: We are seeking a passionate Junior AI Researcher to join our growing research and development team. This is a unique opportunity to contribute to the developing experiments and creation of AI models and solutions that optimize energy consumption and operational efficiency across the world's most critical facilities. The ideal candidate will be enthusiastic about machine learning, AI, and research methodologies. You will work closely with our senior researchers and data scientists to develop and fine-tune AI models that enhance the performance and sustainability of our A.I.M.I. platform.
Key Responsibilities:
● AI Experimental Research & Development:
○ Setup, schedule, and execute new AI experiments with CTO and management team.
○ Conduct research on AI and ML techniques relevant to facility automation and resource optimization.
○ Assist in designing, training, and fine-tuning AI models for predictive analytics, energy efficiency, and real-time decision-making.
● Data Analysis & Model Testing:
○ Work with our CTO and technical team to analyze large datasets and extract actionable insights.
○ Support in testing AI models in real-world environments to validate performance and scalability.
● Collaboration & Integration:
○ Collaborate with engineering teams to ensure smooth integration of AI models into production systems.
○ Work with senior researchers to iterate on model improvements and optimize algorithms for efficiency.
● Continuous Learning:
○ Stay up to date with the latest advancements in AI/ML and explore new research opportunities.
○ Contribute to internal knowledge-sharing and documentation.
Qualifications & Experience:
● Educational Background:
○ Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience).
● Skills & Experience:
○ Some experience in machine learning or AI research, through academic projects or internships.
○ Proficiency in Python or a similar programming language, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
○ Strong analytical and problem-solving skills with a keen attention to detail.
○ Familiarity with data preprocessing, model evaluation, and deployment workflows is a plus.
● Soft Skills:
○ Strong curiosity and eagerness to learn about cutting-edge AI technologies.
○ Good communication and collaboration skills.
○ Ability to work in a fast-paced, dynamic startup environment.
What We Offer:
● Growth Opportunities: The chance to work on groundbreaking AI solutions and be part of a team that’s shaping the future of infrastructure automation.
● Competitive Salary: Attractive compensation package, including equity options.
● Benefits: Comprehensive health, dental, and vision insurance, along with other standard benefits.
● Work Environment: A dynamic and collaborative San Francisco Bay Area work environment that encourages innovation and professional growth.
