Realize your potential by joining the leading performance-driven advertising company!
As a Senior GenAI Machine Learning Engineer / Scientist, you’ll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenue.
To thrive in this role, you’ll need :
- M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
- Strong knowledge in Python
- Good knowledge in Java or Scala.
- Familiarity with statistical modeling techniques
- 5+ years of hands on experience with coding machine learning / statistical modeling based solutions
- Experience in data analysis and visualization and strong knowledge in SQL
- Possess strong problem solving and critical thinking skills
Bonus points if you have :
Experience working with LLMs – Prompt engineering, Fine tuning, RAG – advantage.Passion for exploring new, challenging, and often undefined technical spaces.How you’ll make an impact :
As a Senior GenAI Machine Learning Engineer, you’ll bring value by :
Be responsible for the entire algorithmic lifecycle in the company : data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them.Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenue.Work on a daily basis with some of the hottest trends in today’s job market : LLMs, big data analytics / engineering and cloud computing.Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problemsInfluence directly on the way billions of people discover the internet.Work on such as , LLM Personalization, Feed Personalization, Personalized Image and text generation and much moreOur tech stack :
Python, Java, Langfuse, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker