Careers

Research Engineer

Tel Aviv

About The Position

About the Role:

Software is fundamental to research. From the humanities to physics, biology to archaeology, software plays a vital role in generating results. Not all researchers can become skilled software engineers, so a new role has developed: the Research Software Engineer (RSE). RSEs combine an intricate understanding of research with expertise in programming and software engineering.

Key Responsibilities:

  • Build software that unlocks the use of new modeling and analysis techniques, becoming the force multiplier of researcher productivity
  • Be responsible for accelerating research workflows, including optimization and parallelization of model training and validation
  • Work closely with fellow research infrastructure engineers to implement and maintain key scientific components of our research codebase
  • Identify pain points in current analysis workflows and eliminate them through proper automation and tooling
  • Contribute to our software engineering culture of writing correct, maintainable, elegant and testable code
  • Provide education and documentation enabling fellow team members to maximize technical resources
  • Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement

Key Takeaways:

  • Right at the cutting edge of science – work right at the frontiers of science with expert researchers
  • Use the tools and languages that are best suited to the job – Complete flexibility to problem-solving with novelty and creativity encouraged
  • Open source projects and frameworks recommended
  • Be around very bright and lovely people
  • It’s all about results – working hours are not the focus

Requirements


  • 3+ years’ aggregate experience as a Software Engineer as your full-time job
  • Deep understanding of the open-source scientific programming ecosystem
  • Willingness to code in Python. We welcome developers of any background, as long as you know python properly
  • Willingness to get your hands dirty, understand a new problem deeply, and build things from scratch when they don’t already exist
  • Experience with cloud platforms such as AWS or GCP
  • Knowledge in data-science technologies, such as:

SageMaker, Dask / Spark, MLFlow / Trains etc., sklearn, pyarrow, etc.

  • Undergraduate degree in Computer Science, Computer Engineering, or similar disciplines from rigorous academic institutions

Any of the below would be an advantage:

  • Professional experience writing performant scientific, numerical and parallel code in a data-driven research environment
  • Experience writing and optimizing code in a vectorized scripting language such as NumPy or similar
  • Experience with data warehousing technologies such as Amazon Redshift, Google BigQuery, Snowflake, etc.

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