Senior Software Engineer, AI & Analytics

Key Skills

JavaScript, Python Programming, MongoDB, DevOps, API, AWS, Scala Programming, Machine learning techniques, PyTorch, Docker, spaCy, Elasticsearch, RabbitMQ, Data pipelines, ETL frameworks, JAX framework, Large Language Models - LLMs, LangChain

Job Description

With 1,000 intelligence professionals, over $300M in sales, and serving over 1,800 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company!

We are looking for an outstanding software engineer whose superpower is coding to join Recorded Future’s Analytics Team within the R&D organization. You will be joining a group of talented engineers, linguists and data scientists that share a common interest in solving challenging data analytics tasks in large distributed systems with rich data. The team's responsibilities include developing AI solutions which interact with the Recorded Future Intelligence Graph and Platform. We strive to make our data as actionable and comprehensive as possible and to have fun.

You would get the chance to develop great software in a fast-moving environment close to our global clients and their needs. Together, we’ll improve our product to meet increasing demands while focusing on scalability and quality. You will also get a chance to experiment with new technologies and explore what solutions are most suitable for solving real-world problems in threat analytics. You would join a dynamic team eager to take on new challenges and are passionate about what they do.

What you will be doing:

• Solve exciting and complex problems with diverse scope related to vast data volumes, real-time analysis, and threat intelligence
• Work together with our product teams to understand and deliver expected results
• Continuously design, develop and deploy our software, analytics and processing technology to support new and existing features with a focus on high availability, excellent quality, low latency, and scalability
• Demonstrates good judgment in selecting methods and techniques for obtaining solutions
• Measure and evaluate features and system metrics to continuously improve data quality and service performance
• Support DevOps and MLOps activities
• Access to the energy, velocity, and freedom of an entrepreneurial culture
• Take initiatives and collaborate across teams
• Proactive, go beyond expectations, and independent

What you will need:

• Minimum 5 years of experience as a software engineer
• Experience with data analytics and data processing
• Strong coding skills with high proficiency in Python and/or Java / Scala
• Ability to learn other coding languages as needed
• Experience and comfort in API development
• Architect and develop solutions to ambiguous problems with significant impact
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams, and business audiences
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience
• Strong English skills are a must

Bonus points for:

• Experience in software libraries for Machine Learning like Pytorch, Jax, Spacy, etc. and technologies such as RabbitMQ, MongoDB, Elasticsearch, Docker, AWS,...
• Knowledge of LLM based technologies such as OpenAI, Langchain, etc
• Experience in ML Ops, deploying and monitoring real-time inference models and ETL (extract, transform and load) pipelines
• Experience from a DevOps role
• Experience handling both research and development
• Deep understanding of machine learning and image/video/text/patterns processing algorithms