Scaleout is a team of data scientists, machine learning engineers, software engineers, and entrepreneurs. Experienced from both industry and academic research in AI, cloud and fog computing, and scientific computing from top ranked Uppsala University in Sweden.
We've delivered solutions for, worked with and presented our research for many of the largest and most reputable organizations in the world.
We're working on a platform for end-to-end privacy-preserving machine learning with a focus on helping organisations put advanced machine learning technologies into production.
Our culture is always evolving, and we believe new people can and should change how we operate and what we value. Scaleout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment.
People at Scaleout care deeply about building AI in a way that benefits humanity.
We move both quickly and deliberately to balance research and engineering objectives.
Many of our biggest advances grew out of work done across multiple teams.
We believe in the power of feedback, and encourage a mindset of continuous learning and growth.
Machine Learning Engineer
At Scaleout, we're building a software platform that empowers people to make better decisions using data. Based on years of cutting-edge data systems research at Uppsala University, the platform provides actionable insights to businesses from their data. Scaleout integrates with modern data warehouses, which provide a streaming, structured view of key business metrics and their relationships with first-party organizational data. We draw on novel techniques from data mining, statistical analysis, and machine learning to produce these insights and deliver them through an elegant, modern web interface.
You will be responsible for investigating and developing state-of-the-art algorithms in Scaleout's large-scale streaming structured data context. ML engineers at Scaleout deliver their features end-to-end, from Jupyter notebook to production, and we're looking for an early team to set the tone for doing this right as the ML team scales.
What you'll accomplish:
Develop and institute robust feeds of machine learning data from the platform
Deliver state-of-the-art algorithms to production for
forecasting time series, personalized ranking, and robust statistical analysis of key customer business metrics
Build and maintain the infrastructure for data and model management
Provide thought leadership to the Scaleout design and engineering teams for ML-adjacent components
Give talks, write blog posts, and produce peer-reviewed publications about ML at Scaleout
What you'll need to be successful:
Strong technical communication skills
Deep understanding of hypothesis testing and the calculus of probability
Comfort with data processing tools, like scipy, numpy, pandas, Spark
Software engineering experience or equivalent: forecasting deadlines, modular design, testing, code review, working with new code bases
Mature Python proficiency
BS in Computer Science or equivalent practical experience for basic understanding of data structures, algorithms, and system design
Scaleout is looking for machine learning professionals interested in defining the shape of ML at Scaleout. ML is integral to Scaleout's value proposition: our customers have invested heavily in storing structured data in new-generation warehouses. Your impact is providing a multiple on the analytics value that organizations can derive from data and integrate in their business-level decision-making processes.
If you want to work at Scaleout but can't find the right job opening, you're always welcome to send us an open application. Tell us who you are and what you'd like to do, and perhaps there's an opportunity for you, now or in the future.