Machine Learning Engineer
We are the company behind WordPress.com, Jetpack, WooCommerce and Tumblr. We are looking for someone to join a team of data scientists and software engineers to build, deploy, and iterate on applications involving time series analysis, machine learning, natural language processing and/or search.
What have we worked on recently?
We help our users to create powerful sites with ease and enable our colleagues to support our users. Our completed and ongoing projects include:
- Elfbot – a machine learning project to automatically tag chat transcripts from our live chat user support.
- Automated anomaly detection on business and user data.
- A new Jetpack Search experience with instant search and improved relevance.
- A generalized machine learning pipeline to build audiences for marketing and engagement.
How do we work?
- We’re kind to each other and our users – we strive to build a positive, supportive, and inclusive culture of cohesive teams focused on delivering value to our customers.
- We work as a global and distributed workforce resulting in a unique way of working built around our creed.
- We offer flexible work arrangements allowing our team members to work when they feel best.
- We welcome collaboration, and you can be involved in any discussion across our many communication channels.
Enough about us, let‘s talk more about you. The Machine Learning Engineer position might be a good fit if you:
- Have hands-on experience in building and deploying data-intensive applications to production. You care about building reliable and testable infrastructure and pipelines. Familiarity with the Hadoop ecosystem and cloud computing services like AWS and GCP will be advantageous.
- Are motivated to propose technical solutions, own software architecture, evaluate technologies and infrastructure, or develop technical roadmaps for future applications.
- Have a demonstrated interest in understanding machine learning techniques and workflows like data preprocessing, feature extraction, and training and evaluation of classification and regression models.
- Bring programming skills in multiple programming languages and paradigms. You are likely to encounter Python, PHP, Scala, and SQL in this role and the idea of using them on a regular basis should not be a blocker for you.
- Are familiar with professional software engineering methods and standards such as coding conventions, code reviews, continuous integration, build processes, testing, and operations.
- Are open and able to travel 3-4 weeks per year to meet your teammates in person. We hold an annual all-company meeting every year, and meet up with our teams for a week once or twice per year.
Like all positions at Automattic, you’ll work remotely, and can be based wherever you live.
We are the people behind WordPress.com, WooCommerce, Jetpack, Simplenote, Longreads, VaultPress, Akismet, Gravatar, Crowdsignal, Cloudup, and more. We believe in making the web a better place.
We’re a distributed company with more than 1100 Automatticians in 65+ countries speaking 75+ different languages. Our common goal is to democratize publishing so that anyone with a story can tell it, regardless of income, gender, politics, language, or where they live in the world.
We believe in Open Source and the vast majority of our work is available under the GPL.
Diversity & Inclusion at Automattic
We’re improving diversity in the tech industry. At Automattic, we want people to love their work and show respect and empathy to all. We welcome differences and strive to increase participation from traditionally underrepresented groups. Our D&I committee involves Automatticians across the company and drives grassroots change. For example, this group has helped facilitate private online spaces for affiliated Automatticians to gather and helps run a monthly D&I People Lab series for further learning. Diversity and Inclusion is a priority at Automattic, though our dedication influences far more than just Automatticians: We make our products freely available and translate our products into and offer customer support in numerous languages. We require unconscious bias training for our hiring teams and ensure our products are accessible across different bandwidths and devices.