Sr Machine Learning / Data Engineer

Be a Part of Our Journey! At 257, we are committed to creating a smarter energy future through innovative data solutions.

You will play a crucial role in building scalable data infrastructure and developing machine learning models that extract insights from large and complex datasets. This is an exciting opportunity to work with cutting-edge technologies and contribute to solving complex challenges in the energy sector.

This position is perfect for someone with a deep understanding of both machine learning algorithms and data engineering practices, who thrives in a dynamic, collaborative environment.

Read more about our latest funding round here, here and here (hebrew)

Responsibilities

• Design, develop and maintain scalable and efficient data pipelines to capture and process large volumes of data from various sources.
• Experiment with and implement novel algorithms for time-series forecasting, geospatial analysis, such as energy demand prediction and anomaly detection.
• Collaborate with data scientists and stakeholders to identify business needs and the most effective data solutions.
• Optimize algorithms for performance and accuracy using best practices in machine learning and data handling.
• Integrate AI models into production systems and monitor their performance to ensure ongoing reliability.
• Stay current with emerging technologies and methodologies in data science and machine learning (LLM, MCP, RAG, RLHF and more fun acronyms!)

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• 7+ years of experience in data engineering, machine learning engineering, or a similar role.
• Strong programming skills in Python, NodeJS, Java or similar programming languages and ninja level SQL knowledge.
• Experience building scalable ML and data pipelines using one or more machine learning / NLP frameworks (e.g., Scikit-learn, NLTK, TensorFlow, PyTorch).
• Experience with big data processing frameworks like Apache Spark, Kafka, Airflow, or Flink.
• Strong understanding of time-series forecasting, geospatial analysis, or anomaly detection techniques.
• Strong communication skills and experience working collaboratively in teams.
• Experience in the energy sector or related fields is a plus (but not a must, we can teach you that!).

Why Join Us?

• Be part of a pioneering team that is driving positive change in the energy sector.
• Work on exciting technical challenges and innovative projects that have real-world meaningful impact.
• Be around very seasoned technical leaders and serial entrepreneurs
• Collaborative and inclusive company culture that values diverse perspectives.
• Life is too short for yet another boring job that does not make your mind race or your mother-in-law say “wow” - 257 is a different story
  

If you’re ready to embark on a new journey with us, we can’t wait to hear from you! Let’s make data magic together at 257.