Trebellar builds a powerful platform at the intersection of software and the built environment. Our system enables organizations to save money, run more efficient workplaces and operations, and measure progress against Net Zero and ESG climate objectives. If successful, we’ll transform how corporate buildings are designed, built, and operated – an outcome that could impact trillions of dollars in world GDP and ~40% of global carbon emissions.

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We’re a small yet mighty team of individuals who value curiosity, collaboration, mutual trust, and hard work. If you’re looking to deliver innovative solutions that will be used by some of the world’s biggest and most noteworthy organizations, we’d love to hear from you!

The AI/ML role at Trebellar will play a pivotal role in shaping our product roadmap and helping to define how and where to apply machine learning in our software stack.

As a Senior AI/ML Engineer, you will play a crucial role in our talented development team, working on complex projects and contributing to the success of our flagship products. As an early member of our growing team, you’ll:

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• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to identify business requirements and design AI/ML solutions.
• Research, prototype, and develop scalable and robust AI/ML models and algorithms using state-of-the-art techniques and tools.
• Clean, preprocess, and analyze large-scale structured and unstructured datasets to extract meaningful insights and features.
• Build and deploy AI/ML models into production environments, ensuring scalability, performance, and reliability.
• Evaluate and fine-tune models using statistical analysis, experimentation, and other validation methods to achieve optimal performance.
• Stay updated with the latest advancements in AI/ML technologies, frameworks, and libraries, and propose innovative ideas to enhance our capabilities.
• Mentor and provide guidance to junior AI/ML engineers, promoting knowledge sharing and best practices within the team.

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We seek candidates who possess a range of backgrounds and different experiences. Some of the functional qualifications we look for include:

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• Proven experience (at least 5 years) working as an AI/ML Engineer, with a strong background in developing and deploying AI/ML models in real-world applications.
• In-depth knowledge of AI/ML concepts, algorithms, and frameworks, such as TensorFlow, PyTorch, or scikit-learn.
• Proficiency in programming languages such as Python, Java, or C++, with the ability to write clean, efficient, and maintainable code.
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus
• Excellent problem-solving skills, with the ability to analyze complex problems and propose effective solutions.
• Strong communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.
• Nice to have: Solid understanding of cloud platforms (e.g., AWS, Azure, GCP) and experience deploying AI/ML models in cloud environments.
• Nice to have: Master's or Ph.D. degree in Computer Science, Data Science, or a related field, with a focus on AI/ML.

Beyond offering the unique opportunity to join an early-stage startup that’s going after a huge market, we offer:

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• Competitive compensation and benefits package, including equity participation
• Flexible vacation and time-off policies
• 401(k) employer matching contributions: 100% of first 3%, 50% of next 2%
• A dynamic and collaborative work environment, with a focus on innovation and professional growth
• Opportunities to work on challenging projects and contribute to the development of industry-leading software solutions
• Continuous learning and development opportunities, including conferences, workshops, and training programs
• A supportive and inclusive culture that values diversity and promotes work-life balance

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Please note that this job description is intended to provide a general overview of the position and does not encompass all tasks or responsibilities that may be required.

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