Staff Machine Learning Engineer

Навыки

• AI-инструменты в работе
• BI-инструменты
• Data Lake
• Дообучение моделей
• LLM
• Machine Learning
• Решение задач

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
• The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others.
• As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale.
• At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products

Задачи

• Shape the direction of our applied AI areas and intelligence features in our products
• Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie)
• Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains
• Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration
• Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction
• Build scalable, reusable backend systems to support GenAI products across the company
• Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance

Требования

• 2-8 years of machine learning engineering experience in high-velocity, high-growth companies
• Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification
• Strong track record of working with language modeling technologies
• This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks
• 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, with a passion for improving AI-driven user experiences
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment
• Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) is a bonus
• Why Join Us?
• You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts
• If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!
• Please note we are open to employees working from our Mountain View, CA office for this position

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

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