Software Engineer, Bitfount

• You are an experienced Software or Data Engineer with a passion for performance and reliability
• You take ownership of your work and see things through
• You emphasise code quality and are comfortable with high quality software practices (including code reviews, testing practices, and software design)
• You are excited by the opportunity to improve our Python-based ML framework capabilities across various hardware and OS configurations
• You like to work in a diverse team, relish participating in team-led discussions, and are an effective team player
• You continually strive to improve engineering standards and shape best practices within the teams you work
• Have 5+ years of relevant experience designing and building ML applications or data pipelines at a tech-forward product company
• Have an excellent working knowledge of Python and Python unit testing
• Have +3 experience with data pipeline or streaming technologies (e.g. AirFlow, Dask, Spark, Kafka), or alternatively with ML libraries (e.g. PyTorch, TensorFlow)
• Have proven experience in using automated testing frameworks and contributing to continuous integration pipelines
• Have solid understanding of modern software development practices, including version control systems (e.g., Git) and continuous integration pipelines
• Have strong communication skills to bridge the gap between design, product, and engineering
• Have previous experience working in a fast-paced product company, with a significant amount of active users
• Are enthusiastic about working on an ML-driven product team
• Can pick things up quickly and adapt - we are a start-up after all!
• Are highly curious; you’re not satisfied with getting something to work, you want to understand why it works and improve the quality of the product/software
• Are highly driven to see things through to the end: the job isn’t done until it's tested, in the product, and bringing value to our customers

Desirable

• Bitfount is looking for a motivated, experienced Data or Software Engineer to join our team, working on our desktop application’s ML capabilities
• The app allows users to deploy, use, and build ML models collaboratively, as well as perform data analytics - all in a privacy-preserving, easy-to-use manner
• Tech stack used: Python, pytest, PyTorch, NumPy, CUDA, GitHub
• Primary skills we consider: Python, Data Engineering, data streaming
• Secondary skills we consider: Machine Learning, MLOps

• Getting to know you: 30 min chat with our Talent Partner to talk about your experience and to answer questions about the role
• Take-home task: You will be provided with a take home task that includes some code that you'll have to change and expand upon
• Technical interview: 60 minute interview where you will discuss your take-home task submission with members of our Python team, and where you'll have to change the task and accommodate some new requirements
• Leadership interview: 60 minute chat with our Head of Engineering about your prior accomplishments and the challenges you’ve faced as an engineer
• Offer 🎉