We’re seeking a machine learning engineer who is excited to work with new technologies and architectures in a friendly organization that focuses on transparency, quality and innovation. In your role, you will work in a humble and empathic engineering team to deliver fantastic experiences to both our clients and internal projects. The role involves writing lots of code, so having a passion for programming is necessary. It is essential that you have a genuine interest in machine learning and data.
Our ideal candidate enjoys a collaborative environment involving different stakeholders and subject matter experts with an open mind and eagerness to acquire new skills. Are you creative, eager to learn and prioritize quality in all of your work? Great, read on!
You’ll work in a team and your primary goal will be to ship great machine learning related software with modern development tools and frameworks. Specifically, you will encounter challenges such as:
Packaging machine learning models as APIs
Making sure models can access batch and/or real time data in performant ways for predictions
Setting up and maintaining data and machine learning pipelines
Connecting relevant tools, data streams and APIs to each other
Building tools and libraries for data scientists to simplify model lifecycle
We believe in the importance of personal development and actively work to ensure our coworkers get the tools they need. It’s not essential that you know everything, we’ll do our best to help you on your way! You probably have a background in computer science or a similar field, valuing simplicity and performance. In addition, you have:
Empathy and a humble attitude
An eagerness to make things better
A preference for writing clean and maintainable code
Acceptance for occasional hacky one-off solutions
It’s not expected that you have expertise across all listed areas, but these are some of the things we work with on a daily basis:
Go, Scala, Typescript (secondarily)
API frameworks, REST/ GraphQL
Databases such as Postgres, MongoDB, Redis
Message queues such as RabbitMQ, MQTT, Kafka
Machine learning libraries tensorflow, pytorch
Machine learning pipeline frameworks like Airflow, MLFlow etc.
CI/CD tools such as GH actions
Linux, shell scripting
Backtick is currently a small dedicated team. We are a group of people with diverse skills who appreciate transparency and a flat organization. As with many things, working here is hard to summarize but we’ll give it a go and say: it’s fun to come to work every day.
Our primary focus at Backtick is providing value to our customers while making sure our employees have the best workplace possible. We spend significant resources on R&D and product development with a vision of becoming a venture studio, encouraging employees to bring side projects to life. We believe in the development of our coworkers - in order for Backtick to succeed, we need our employees to succeed. Every year, we organize an autumn adventure trip, a spring get-away and the ever more popular hackathon Codecation.
Transparent equity model
Events, hackathons, and paid conferences.
A generous budget for hardware, education and tools
Lots of fun gear to play around with (3d-printer, bare metal office cluster)
Flexible work hours and vacation.
In a traditional sense, we’re a consulting company - but we try to think differently. We invest significant amounts of money into R&D and product development with the goal of one day becoming a venture studio.
We recently launched our first product and feel we're on the right track!
Company wide transparent pay levels. Salary bumps every six months.
Transparent, recurring options program that gives you shares in Backtick Valley, our holding company.
Come as you are. We're not much for hierarchy and titles.
Consulting & product work - we do a bit of both!