Your career starts on Magnet.me
Create a profile and receive smart job recommendations based on your liked jobs.
At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution.
We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech.
At our core, we believe work is about more than just numbers -- it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued.
Join us and become part of a company that's empowering people to unlock their digital potential!
To get a sneak peek at our culture, find us on Instagram: @optimizely
Our Data Science team harnesses big data, natural language processing, and machine learning to help create next generation products for Optimizely’s Experimentation, CMS, e-commerce, and data platforms.
This team emerged as a result of the acquisition of two start-ups (Peerius and Idio) that provided personalisation products for e-commerce and content. Over the past years, the consolidated company has improved the lives of customers such as Intel, HP, Fitch Ratings, Sainsbury’s and many other brands. Episerver’s acquisition of Optimizely has paved the way for interactions between data-driven experimentation and AI.
This role is within a team whose primary focus lies in the following areas: Natural Language Processing, Machine Learning, and Recommendation Systems. Our stack employs a variety of technologies, including (i) code written in Python, Scala, and TypeScript, (ii) data pipelines using Spark, Luigi, Kubernetes, and Terraform, (iii) prototyping and deploying Machine Learning solutions using Pandas, Scikit-learn, and Dask.
As a Senior Machine Learning Engineer, you will play a pivotal role in developing and implementing advanced ML systems that drive our company's success. In this role, you will independently develop and ship medium to large features, design and implement reliable and scalable machine learning solutions, and collaborate with the Data Science team on projects related to NLP, Recommender Systems, and Predictive modeling.
Bonus points:
Keywords: Machine Learning, Data Science, GenAI, Cloud, Python, Recommendation systems, NLP, Scikit-learn, Pandas, Luigi, Airflow, Docker, Git
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
Communicating Effectively
Critical Thinking
Managing Meetings
Prioritizing and Organizing Work
Solving Complex Problems
Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Optimizely enables businesses to experiment deeply into their technology stack and broadly across the entire customer experience.
The platform's ease of use and speed of deployment empower organizations to create and run bold experiments that help them make data-driven decisions and grow faster.
To date, marketers, developers and product managers have delivered over 700 billion experiences tailored to the needs…
Optimizely enables businesses to experiment deeply into their technology stack and broadly across the entire customer experience.
The platform's ease of use and speed of deployment empower organizations to create and run bold experiments that help them make data-driven decisions and grow faster.
To date, marketers, developers and product managers have delivered over 700 billion experiences tailored to the needs of their customers.
Recognized by the San Francisco Business Times 2014 - 2019 as one of the “Best Places To Work In The Bay Area,” Optimizely values its employees and offers great benefits including unlimited time off, healthcare coverage, gym memberships and 17 weeks of paid parental leave. Wealthfront also named Optimizely as one of "100 Career Launching Technology Companies." Visit our Careers page to find out how you can be a part of this growing company.
Headquartered in San Francisco, Optimizely also has offices in New York City, Austin, Amsterdam, London, Munich, Cologne and Sydney.
Change language to: Dutch
This page is optimised for people from the Netherlands. View the version optimised for people from the UK.