Generated on 2025-06-21 at 18:16 UTC
Total jobs found: 5
Location: United States
Job URL: https://www.linkedin.com/jobs/view/machine-learning-engineer-at-netflix-4118831761
Overview: Design, develop, and scale machine learning solutions to power the Netflix experience and improve personalization, recommendations, and member experiences. This involves collaborating with cross-functional teams, creating scalable production systems, optimizing model performance, and conducting experiments to validate impact.
Key Skills/Requirements:
- 5+ years experience applying machine learning in industry
- PhD or Masters in Computer Science, Statistics, or related field
- Expertise in machine learning algorithms and frameworks
- Excellent software design/development skills in Python + Scala/Java/C++/C#
- Experience training, tuning, and deploying ML models in production
About the Company: Netflix is one of the world's leading entertainment services, providing TV series, films, and games to members globally.
Location: United States
Job URL: https://www.linkedin.com/jobs/view/ai-researcher-at-firstprinciples-4225793150
Overview: Research, design, and test state of the art AI methods, including novel model architectures, custom tokenizers, and reinforcement-learning loops, to accelerate scientific discovery. This involves building data pipelines, establishing benchmarks, managing model training, and ensuring quality output, collaborating closely with engineering teams to advance scientific research and usher in a new era of discovery.
Key Skills/Requirements:
- PhD in physics, computer science, data science, information systems, or related field.
- Proven track record of conducting in-depth research on scientific AI models, symbolic models, machine learning or deep learning for scientific discovery.
- Familiarity with SOTA models.
- In-depth AI/ML concepts.
- Familiarity with data infrastructure.
About the Company: FirstPrinciples is a non-profit organization developing an AI Physicist to advance scientific discovery by uncovering fundamental laws of nature.
Location: New York, NY
Overview: Apply AI (Machine Learning, Generative AI) and analytics techniques to develop solutions for business problems and drive meaningful advances to the quality and breadth of ML and LLM solutions. Develop, maintain, and deploy analytics software while evaluating and implementing AI infrastructure and MLOps/LLMOps best practices.
Key Skills/Requirements:
- 10+ years of experience in AI, machine learning, and data science
- Proven experience leading LLM-driven projects
- Deep expertise in NLP, deep learning, and AI model deployment at scale
- Hands-on experience with LLMs and vector databases
- Strong knowledge of Python, TensorFlow, PyTorch, LangChain, and AI/ML cloud services
About the Company: None
Location: San Francisco, CA
Job URL: https://www.linkedin.com/jobs/view/software-engineer-machine-learning-at-notion-4250736028
Overview: Work on incorporating large language models, embeddings, and other AI technologies into Notion's product in a high quality way. Prototype, experiment, and productionize new AI technology integrations while collaborating with cross-functional teams. Stay up-to-date with the latest AI technologies and trends to inform product enhancements.
Key Skills/Requirements:
- 3+ years of experience in machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence.
- Experience building AI products using LLMs, embeddings or other ML natural language technologies.
- Familiarity with relational database systems like Postgres or MySQL.
- Proficiency with data pipeline technologies like Spark or DBT.
About the Company: Notion aims to make it possible for every person, team, and company to tailor their software to solve any problem and take on any challenge.
Location: New York City Metropolitan Area
Job URL: https://www.linkedin.com/jobs/view/machine-learning-engineer-at-berkley-hunt-4251723468
Overview: Own end-to-end development of NLP pipelines, building and deploying models for tasks like clustering, classification, and structured data extraction from dataset creation through deployment. This role involves fine-tuning transformer models, managing experiments with MLFlow, and maintaining production systems to automate data security and governance workflows.
Key Skills/Requirements:
- Strong Python skills
- Demonstrated experience owning ML projects from concept to deployment
- Proficiency with Hugging Face, MLFlow, and GPU-accelerated environments
- Hands-on experience with applied NLP tasks (e.g., clustering, classification)
- Familiarity with managing and preparing large datasets independently
About the Company: None
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