Algorithm Engineer

A successful and well-funded startup specializing in AI is tackling complex challenges using diverse data types. The company develops statistical and mathematical models based on AI technologies to predict the behavior of the U.S. electricity market. Their goal is to analyze how energy is traded in the U.S. and optimize the market to prevent overproduction of electricity.

The company conducts extensive research in the U.S. energy market, employing a highly experienced team of researchers with advanced degrees. With five research teams and approximately 30 researchers out of 45 employees, the company focuses on enhancing and optimizing the electricity market in the U.S.

Located in Tel Aviv near a train station, the company offers a hybrid model with one work-from-home day per week.

About the role

• Take end-to-end ownership of research problems from idea to production
• Build mathematical models of physical world phenomena and analyze their impact on business decisions
• Solve complex data science problems by developing novel algorithms
• Use and develop state of the art machine learning models and algorithms
• Work on compute intense projects which involve large scale distributed pipelines
• Work in a dynamic and diverse environment involving multiple disciplines and domains
• Engage directly with data scientists and engineers’ teams to co-develop solutions for a variety of tasks and projects using different tools and techniques

Requirements-

MSc or a PhD in EE/CS/math/Physics/Stats

Solid data science research experience of at least 3 years in a data-intensive field (machine learning, NLP, computer vision, signal processing or related)- an advantage

Deep understanding of at least one of the following domains: machine learning, statistics, information theory, probability, optimization, or signal processing

Strong knowledge in programming (python, java)

Track record of excellence

146460