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EliseAI

Junior Research Scientist

EliseAI is seeking an enthusiastic and driven Junior Research Scientist to join our core R&D team. This role is ideal for a recent graduate or early-career professional passionate about applying advanced computational techniques to real-world challenges in the housing sector. Key responsibilities include assisting senior scientists with data preprocessing, developing and testing predictive models (such as time-series analysis or large language models), and contributing to publication-quality research outputs. The ideal candidate possesses a strong foundation in Python, statistical theory, and deep learning frameworks like TensorFlow or PyTorch. You will work on proprietary datasets, helping drive the next generation of AI products that revolutionize how people interact with property data. This role emphasizes rapid prototyping, rigorous testing, and collaborative problem-solving within a fast-paced academic-industrial environment.

EliseAI San Francisco, CA, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

2100

Question set

150

Duration

Permanent

Focus areas

Machine LearningNLPDeep LearningStatistical Modeling

People Also Ask (FAQs)

What is the last date to apply for Junior Research Scientist?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Junior Research 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 EliseAI 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 Junior Research 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, NLP, Deep Learning, Statistical Modeling.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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