Senior Applied AI Engineer

Навыки

• Data Lake
• Machine Learning
• Статистика
• Временные ряды

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 .
• At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products

Задачи

• Build features and run end-to-end systems in a small team of experienced engineers and data scientists
• Shape the direction of our applied ML investment by engaging with engineering and product teams across the company
• Drive the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services
• Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments
• Work on novel modeling techniques in the field of ML for forecasting
• Possibilities to contribute to the broader AI community by presenting at conferences and actively participating in open source projects, enhancing Databricks’ reputation as an industry leader
• As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recommendations, either classical or based on deep learning
• From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible
• This is a high-impact problem as our customers look at us to deliver the most out of their data

Требования

• 2-8 years of machine learning engineering experience in high-velocity, high-growth companies
• Strong understanding of both computer systems and statistics
• Experience developing AI/ML systems at scale in production
• Strong track record of ML modeling that goes beyond using standard libraries
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment
• A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML

Будет плюсом

• experience deploying, scaling, and monitoring models in production
• understanding of the unique infrastructure challenges posed by training and serving predictions in Tier 0 environments
• 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!

Условия

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

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