Senior Causal AI Architect
1 week ago
causaLens, the pioneer of Causal AI, is seeking a highly skilled Senior Causal AI Architect to lead the development of its enterprise platform. With a strong academic background in a quantitative discipline and extensive experience in machine learning engineering, you will spearhead the design and implementation of advanced Causal AI algorithms.
The ideal candidate will have a minimum of 5 years of experience in deploying machine learning models into production environments and expertise in translating complex machine learning algorithms into scalable, production-quality code. Proficiency in Python and a strong understanding of optimization techniques are essential, with experience with Cython and CUDA being a plus.
In this role, you will:
- Provide technical leadership in the development of Causal AI algorithms, ensuring they are optimized for scalability and performance
- Oversee feature engineering and machine learning initiatives to deliver robust, production-quality solutions
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation
- Collaborate with cross-functional teams to seamlessly integrate Causal AI capabilities into the platform's architecture
We offer a competitive salary range of $150,000 - $200,000 per year, based on experience, and a comprehensive benefits package, including access to mental health support, share options, and a pension scheme.
About causaLens:
Our mission is to radically advance human decision-making through the power of trustworthy AI. We believe that traditional machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. Our Causal AI platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in various industries.
We are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. We celebrate our differences and come together to share our triumphs. If you are excited about leading from both a technical and managerial perspective in the field of Causal AI, we encourage you to apply and join us on this groundbreaking journey.
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