Causal AI Engineer
2 months ago
We're a pioneering company in the field of Causal AI, aiming to revolutionize decision-making in the enterprise. Our platform leverages cutting-edge algorithms to provide causal insights and suggested actions that directly improve business outcomes.
The RoleWe're seeking a highly skilled Machine Learning Engineer to join our Product team in London. As a key member of our interdisciplinary team, you'll be responsible for developing our Causal AI platform, focusing on feature engineering, machine learning, and building causal algorithms for time series and tabular data.
Key Responsibilities- Develop and implement advanced machine learning algorithms using Python, Cython, Numpy, and Torch
- Collaborate with software engineers and scientists to integrate machine learning models into our platform
- Design and implement data pipelines to support our Causal AI algorithms
- Work closely with our data science team to ensure seamless integration of machine learning models into our platform
- Contribute to the development of our platform's software architecture and infrastructure
- 2+ years of experience in machine learning engineering or a related field
- Strong academic record (Msc, Meng, Ph.D. or PostDoc preferred)
- Advanced quantitative skills in machine learning/statistics/mathematics or similar fields
- Development experience in Python, with a strong understanding of software development life cycles
- Ability to work independently in a fast-paced environment and collaborate effectively with cross-functional teams
- Excellent written and verbal communication skills, with a high level of business acumen
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and inclusive work environment
- Access to cutting-edge technology and tools
- Flexible working arrangements, including remote work options
If you're a motivated and high-achieving Machine Learning Engineer looking to join a pioneering company in the field of Causal AI, please submit your application, including your resume and a cover letter outlining your experience and qualifications.