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Clera

Machine Learning Engineer (Mid-Level)

Clera is hiring a talented Machine Learning Engineer to join our core engineering team in San Francisco. This role involves the end-to-end development and deployment of scalable machine learning models that power our platform's intelligence capabilities. You will take raw data inputs, design predictive algorithms, optimize model performance, and productionize robust ML pipelines. Key responsibilities include feature engineering, A/B testing model efficacy, and collaborating with product managers to define technical roadmaps. Ideal candidates possess a strong background in statistical modeling, deep learning architectures (like Transformers), and proficiency in large-scale data technologies.

Clera San Francisco, United States

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

Preparing

2500

Question set

200

Duration

Permanent

Focus areas

Machine LearningDeep LearningPythonAI Model Development

People Also Ask (FAQs)

What is the last date to apply for Machine Learning Engineer (Mid-Level)?

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

How do I apply for Machine Learning Engineer (Mid-Level)?

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 Clera 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 Machine Learning Engineer (Mid-Level) 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, Deep Learning, Python, AI Model Development.

Quick start

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

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