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Передовые технологииВысокая зарплатаСильная компанияЧеткие обязанности
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Hirify AI/Оригинал
TL;DR
Staff Machine Learning Engineer (AI): Driving the development and deployment of state-of-the-art AI models and systems, impacting the capabilities and performance of Databricks' products and services. Focus on data collection, fine-tuning, and LLM technologies, implementing ML pipelines for rapid experimentation and iteration.
Location: San Francisco, California. Open to employees working from the Mountain View, CA office.
Salary: $190,000 — $285,000 USD
Company
Databricks is the data and AI company unifying and democratizing data, analytics and AI for more than 10,000 organizations worldwide.
What you will do
Shape the direction of applied AI areas and intelligence features in Databricks' products.
Drive the development and deployment of state-of-the-art AI models and systems.
Develop novel data collection, fine-tuning, and LLM technologies.
Design and implement ML pipelines for data preprocessing, feature engineering, model training, and model evaluation.
Work closely with cross-functional teams to deliver impactful AI solutions.
Build scalable, reusable backend systems to support GenAI products across the company.
Requirements
2-8 years of machine learning engineering experience or a strong background in relevant ML research.
Strong track record of working with language modeling technologies.
Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures.
Ability to drive end-to-end model development, from research and prototyping to deployment and monitoring.
Strong analytical and problem-solving skills.
Strong coding and software engineering skills, and familiarity with software engineering principles.
Nice to have
Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
Culture & Benefits
Comprehensive benefits and perks to meet the needs of all employees.
Opportunity to shape the future of AI-driven products at Databricks.
Work with cutting-edge models.
Collaborate with a world-class team of AI and ML experts.
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