Senior Software Engineer - Machine Learning
- San Francisco, CA, USA
Optimizely is the world's leader in customer experience optimization, allowing businesses to dramatically drive up the value of their digital products, commerce and campaigns through its best in class experimentation software platform. By replacing digital guesswork with evidence-based results, Optimizely enables product and marketing professionals to accelerate innovation, lower the risk of new features, and drive up the return on investment from digital by up to 10X. Over 26 of the Fortune 100 companies choose Optimizely to power their global digital experiences. Optimizely’s impressive customer list includes eBay, FOX, IBM, The New York Times and many more global enterprises.
At Optimizely, we have built the world’s first Experimentation Platform that enables Testing and Personalization across all channels such as Web, Mobile, Server-side, and OTT through core components such as Analytics, Targeting, and Recommendations.
Our teams have built sophisticated infrastructure that processes billions of events per day, enriches them via stream processing, aggregates and stores them efficiently, supports large scale performant queries, and serves targeting information and recommendations in real-time. Our engineers speak at conferences, write blog posts to share their work, and contribute back to open-source projects.
We are looking for a talented engineer to help us build machine learning features and products to automate our customers’ journeys through complex experimentation hypotheses and analyses. This is a unique opportunity to work on a small team and own a large part of Optimizely’s machine learning strategy. Our core challenges are to build the right set of features that enable 1:1 personalization and automated optimization for our customers.
You will work on machine learning features and products such as Recommendations, Audience Discovery, User Scoring and Prediction, and Automated Optimization
You will build Prediction Services that rely on offline and online data integration, appropriate feature selection, and model training
You will build systems and services using batch and stream processing spanning technologies such as Hadoop, Samza, and Spark in languages such as Java and Scala
You will understand the scalability and performance tradeoffs among various ML techniques and appropriately build ML systems as we move from prototype to production
You will coordinate and work with other application product teams to implement Machine Learning features end to end throughout our platform
You have practical machine learning experience that allows you to develop sound approaches for problems such as contextual decision making, clustering, content targeting and optimization, ranking, prediction, and classification
You have experience with distributed systems to adapt machine learning approaches from simulation to prototypes to production; in particular you have hands-on experience with at least some of following: Hadoop, Samza, Spark, HBase, SQL DBs
You have 3 to 5 years of experience doing this and are looking for your next big challenge
If you're interested in the why's and how's please check out these additional links:
- Our Streaming Analytics architecture in highscalability, one of the top sites for Distributed Systems architectures
Our presentation at LinkedIn’s Stream Processing Meetup on our use of Samza for Sessionization
Our presentation in Apache Big Data Conference ‘17 in Miami on the use of a Lambda architecture with Streaming
Our presentation at HBase Conference in 2014 on migrating to HBase from MongoDB
Many blogs on our engineering Blog site: Scalable data pipelines; From Batching to Streaming with Apache Samza Part 1; Oozie monitoring; Druid segment file anatomy; Druid slicing and dicing; and Approximate Counting.
Committed to Apache Samza for our streaming needs
Our Engineering blog
- Medical insurance premiums covered at 100% for employee and dependents with very low co-pay and deductible. HMO, PPO, and HSA options available
- Full dental coverage including orthodontics
- Full vision coverage including contacts
- Wellness Grant
- Commuter and transportation benefits
- Catered in-office lunch and dinner on weekdays
- Unlimited vacation policy and seventeen weeks of paid parental leave
- 401k benefit
- Working with a great team and having a huge impact!
At Optimizely, we embody inclusion and embrace diversity. Optimizely is an equal opportunity employer and makes employment decisions on the basis of merit. Optimizely prohibits discrimination based on race, color, religion, sex, sexual identity, gender identity, marital status, veteran status, nationality, citizenship, age, disability, medical condition, pregnancy, or any other unlawful consideration. All your information will be kept confidential according to EEO guidelines.