Senior Machine Learning Scientist
Intercom is looking for a talented Senior Machine Learning Scientist to join our engineering team in Dublin. This role is critical in advancing the core intelligence capabilities of our platform, focusing on large-scale data modeling and predictive analytics. You will be responsible for the entire ML lifecycle—from ideation and rigorous hypothesis testing to model deployment and iteration in a production environment. Key responsibilities include optimizing existing models for better accuracy and efficiency, developing novel recommendation systems, and working with cross-functional teams (Product/Engineering) to define data needs. Ideal candidates possess a PhD or Master's degree in Computer Science, Statistics, or a related quantitative field, coupled with deep expertise in ML frameworks like PyTorch or TensorFlow. Strong background in distributed computing is highly desirable.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2800
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Machine Learning Scientist?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Machine Learning Scientist?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the intercom test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Senior Machine Learning Scientist test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Machine Learning, AI/ML Models, Data Science, Python.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.