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Machine Learning Engineer
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 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 operations. 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 software engineers and scientists to design and build a scalable and efficient platform.
- Work on feature engineering, machine learning, and building causal models to improve business outcomes.
- Contribute to the development of the broader application stack, including Python, Cython, Numpy, Torch, Postgres, Redis, AWS, and GCP.
- 2+ years of experience in machine learning engineering or a related field.
- Strong academic record, preferably with a Master's, MEng, Ph.D., or PostDoc degree.
- Advanced quantitative skills in machine learning, statistics, mathematics, or similar fields.
- Development experience in at least one scripting language, preferably Python.
- Ability to translate advanced machine learning algorithms into code.
- Knowledge of computer architecture, preferably with experience in C, C++, or Cython.
- Understanding of the software development life cycle, including version control, tooling, testing, and more.
- Highly capable, self-motivated, collaborative, and personable.
- Ability to demonstrate integrity and drive.
- Naturally curious, creative, and effective problem solver with the ability to come up with ideas to tackle complex problems.
- Excellent written and verbal communication skills with a high level of business acumen.
- Ability to effectively work independently in a fast-paced environment.
- Competitive salary and benefits package.
- 25 days of paid holiday, plus bank holidays.
- Share options and pension scheme.
- Access to mental health support through Spill.
- Cycle to work scheme and friendly tech purchases.
- Office snacks and drinks.
