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Causal AI Platform Developer
2 months ago
causaLens is a pioneering company in the field of Causal AI, a new category of intelligent machines that understand cause and effect. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in various industries.
The RoleWe are seeking a highly motivated and experienced Machine Learning Engineer to join our Product team in building a platform to optimize business decisions. This is a full-time position with significant opportunities for personal and professional growth.
Key Responsibilities- Develop and implement causal algorithms for time series and tabular data using Python, Cython, Numpy, and Torch.
- Collaborate with the Product team to design and build a scalable and efficient platform.
- Work with cross-functional teams to integrate the platform with various data sources and systems.
- Contribute to the development of the platform's feature engineering, machine learning, and data science capabilities.
- Stay up-to-date with the latest advancements in Causal AI and machine learning research.
- 2+ years of experience in machine learning engineering or a related field.
- Strong academic record, preferably with a Master's or Ph.D. in a quantitative field.
- Advanced quantitative skills in machine learning, statistics, and mathematics.
- Development experience in Python, Cython, or other scripting languages.
- Ability to translate advanced machine learning algorithms into code.
- Knowledge of computer architecture, software development life cycle, and version control.
- Highly capable, self-motivated, collaborative, and personable.
- Ability to demonstrate integrity and drive.
- Naturally curious, creative, and effective problem solver.
- Excellent written and verbal communication skills.
- Ability to work effectively in a fast-paced environment.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and inclusive work environment.
- Access to mental health support and wellness programs.
- Flexible working hours and remote work options.
We will be in touch with candidates who progress to the next stage of the interview process. We look forward to hearing from you.
