AI Engineer – Forward Deployed Engineering

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $182k - $250.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Develop cutting-edge GenAI solutions using the latest Databricks AI research techniques to solve customer problems • Own production rollouts of consumer-facing and internally facing GenAI applications • Serve as a trusted technical advisor to customers across varied domains • Present at conferences such as Data + AI Summit and act as an internal and external thought leader • Collaborate with product and engineering teams to influence priorities and shape the product roadmap • Deliver professional services engagements helping customers build and productionize first-of-the-kind AI applications • Support internal subject matter expert teams and contribute to long-term strategic priorities and initiatives

🎯 Requirements

• Experienced engineer; not intended for internship, new graduate, or entry-level applicants • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning • Experience with HuggingFace, LangChain, and DSPy • Expertise deploying production-grade GenAI applications, including evaluation and optimization • Extensive hands-on industry data science experience • Experience with pandas, scikit-learn, and PyTorch • Experience building production-grade machine learning deployments on AWS, Azure, or GCP • Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience • Experience communicating and/or teaching technical concepts to technical and non-technical audiences • Preferred: experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets • Willingness to travel once every 4–8 weeks to see customers as needed • If access to export-controlled technology or source code is required, employment may depend on a U.S. government license decision

🏖️ Benefits

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks, with details varying by region • Remote work arrangement • Travel to see customers once every 4–8 weeks as needed

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