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Artificial Intelligence and Machine Learning Engineer
2 months ago
causaLens is a pioneer in Causal AI, a revolutionary leap in machine intelligence. We are on a mission to build intelligent machines that truly understand cause and effect, driving technological advancements and innovation. Our team is comprised of experts who share a passion for pushing the boundaries of AI and machine learning.
Since our inception in 2017, we have:
- Leveraged our expertise to launch decisionOS, the first enterprise decision-making platform powered by Causal AI.
- Contributed to the open-source community by releasing two of our internal tools and packages, Dara and Causal Graphs.
- Raised $45 million in Series A funding, solidifying our position as a leading provider of Causal AI solutions.
- Been recognized by Gartner as a leading provider of Causal AI solutions.
- Been included in Otta's 2022 Rocket List as one of the fastest-growing companies to launch your career.
We are seeking a highly motivated and accomplished Machine Learning Engineer to join our Product team in London. This is a full-time placement with significant opportunities for personal growth and development.
Key ResponsibilitiesAs a Machine Learning Engineer, you will be responsible for developing our Causal AI platform, focusing on feature engineering, machine learning, and building causal algorithms for time series and tabular data using Python, Cython, Numpy, Torch, and other technologies.
Requirements- 2+ years of experience in machine learning and AI development.
- 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 innovative solutions.
- Excellent written and verbal communication skills with a high level of business acumen.
- Ability to work effectively in a fast-paced environment.
causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect. Our enterprise platform goes beyond predictions, providing causal insights and suggested actions that directly improve business outcomes for leading organizations in various industries.
Benefits- Access to mental health support through Spill.
- Competitive salary.
- 25 days of paid holiday, plus bank holidays.
- Share options.
- Pension scheme.
- Happy hours and team outings.
- Referral bonus program.
- Cycle to work scheme.
- Friendly tech purchases.
- Office snacks and drinks.
Our interview process consists of a few screening interviews and a 'Day 0' spent with the team in-office.
