In Orfium we are building the digital future of the Music and Media Industry, by providing complete solutions to generate and manage their revenue, promote their content and analyze their business.
YouTube, Spotify, Apple, Netflix, and various other platforms have changed the experience of the audience. On our part, we are building the technology to find content in digital platforms, recognize it and match it with the catalogs of the owners. We are developing solutions based on Big Data, Machine Learning, and Business Intelligence to provide Enterprise services and complete SaaS solutions.
Orfium currently serves some of the biggest clients in Entertainment, as the leading Copyrights Management and Information Technology company. With our HQ in Malibu, CA and our Ramp;D department in Athens, Greece, we are able to serve the biggest markets while we innovate fast.
If you believe you can make a difference by joining one of the fastest-growing tech companies in the world, you should definitely apply!
Requirements
What we need
BS in Computer Science or Engineering.Master/PhD relevant to machine learning/DL or data science is a bonus.At least 2 years of working experience in a data science or similar team.Proficient in Python.Experience with a database query language such as SQL.Experience with AWS or other cloud provider is a plus.Experience with Spark is a plus. Comfortable with ML and DS techniques and a good knowledge of the state of the art technologies.Analytical and with the ability to set requirements and break problems into smaller tasks.Research experience amp; paper publications is a bonus.
What you will be doing
- Research, explore, implement, and evaluate new machine learning models.
- Implement and compare existing cutting-edge research works to solve business problems
- Employ languages and tools like Python, SQL and others to drive efficient data exploration and modeling.
- Create statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis.
- Contribute to scientific amp; technical writing for research papers publication.
- Present AI solutions to the business sponsors.
Benefits
- You'll get to work into one of the up-and-coming tech companies in the music industry
- 40-hour work week
- Private Health Insurance
- Competitive salary
- Stock Option plan
- Performance Bonus
- Latest tech equipment
- Training budget for online/offline courses and conferences
- Laid-back environment, minutes away from metro station
- Paid monthly card for public transport
- Free snacks, coffee, tea, etc.