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Machine Learning Engineer
This job is now closed
Job Description
- Req#: 32381215267
- Evaluating Artificial Intelligence function. LLM prompt engineering.
- Building and deploying state of the art GenAI use cases.
- Building pipelines to consume the various data source for AI services.
- Building metrics, dashboards to measure both AI and system performance.
- Working closely with the research teams to build required tools and services to make them productive.
- Working closely with the product and operations teams to integrate ML services seamlessly into the products.
- Working closely with various teams on data acquisition, cleanup and related tooling.
- Have a relevant expertise in Computer Science, Artificial Intelligence, Machine Learning, or related STEM field.
- Have 5+ years work experience.
- Have coding skills in Python, C/C++, or Java.
- Experience with LLM tuning, prompt engineering.
- Experience with one or more of the following: Natural Language Processing, text understanding, classification, ranking systems or similar.
- Have a solid comprehension of AI concepts, algorithms, and frameworks (e.g. TensorFlow, PyTorch).
- Have knowledge about software development best practices and version control systems (e.g. Git).
- Have troubleshooting and debugging skills.
Be part of a team whose focus is to solve cutting edge AI problems and implementation that constantly advance the state-of-the-art. You will be working across various AI/LLM areas including GenAI, and other interesting challenges that are stimulating at Zoom's scale. Will work on LLM applications/integration and tuning for the Zoom major products.
About the Team
With eight specialized departments, the engineering team functions as a highly collaborative, diverse powerhouse. Each department mission is to deliver seamless and innovative communication solutions. These range from software development and machine learning to quality assurance teams that work to create and maintain Zoom's user-friendly interfaces and robust infrastructure. The team continues to push the boundaries of communication technology, bringing people together regardless of their physical distance.
Responsibilities
What we're looking for
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Salary Range or On Target Earnings:
Minimum: $127,700.00
Maximum: $255,400.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
Anticipated Position Close Date: 05/30/25
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