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# Machine Learning Scientist

- **Company:** Netflix, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $300,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Business Software, Machine Learning, Natural Language Processing, Large Language Models, Deep Learning, Generative AI
- **Published:** August 25, 2026
- **Apply:** https://www.workingnomads.com/job/go/1814136/

## About the Role

* Demonstrated habit of tracking the LLM/generative model literature and a knack for spotting which advances are relevant to real business problems.
 * Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation. Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods) is a big plus; background in vision models such as diffusion models is a plus.
 * Expertise in one or more LLM post-training approaches.
 * Track record of designing, running, and analyzing rigorous experiments - from hypothesis formation through statistical validation of results.

## Description

* Track advancements in LLM and generative model research, and translate them into concrete opportunities for the problem space we are working on.
 * Apply state-of-the-art techniques to high-impact problems such as summarization quality and building LLM-based evaluators ('judges') that assess whether generated content meets quality bars.
 * Lead end-to-end ML development on these problems: research, model training, and evaluation.
 * Partner with ML scientists and engineers to integrate models into business applications and platforms.
 * Translate complex technical concepts for both technical and non-technical stakeholders to inform strategic decisions.
 * Act as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps.
 * Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.


## Related Videos

- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Inside the Mind of an LLM](https://www.wearedevelopers.com/videos/1617-inside-the-mind-of-an-llm)
- [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision)
- [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative)
- [Adding knowledge to open-source LLMs](https://www.wearedevelopers.com/videos/1522-adding-knowledge-to-open-source-llms)
- [Computer Vision from the Edge to the Cloud done easy](https://www.wearedevelopers.com/videos/263-computer-vision-from-the-edge-to-the-cloud-done-easy)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)