Databricks
AI Engineer - FDE (Forward Deployed Engineer)
United States
Sponsorship not specified$153k-$210kDetected 4 days ago
DatabricksAWSGCPAzureMachine LearningPyTorchscikit-learnPandasSparkData ScienceRAGLLMOpsStatisticsProduct ManagementProduct StrategyResearchCollaboration
About the role
- We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team.
- The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.
- Based on the factors above, Databricks anticipates utilizing the full width of the range.
Responsibilities
- We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams.
- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
- Own production rollouts of consumer and internally facing GenAI applications
- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
Requirements
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
Compensation
- Databricks is committed to fair and equitable compensation practices.
- The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.
- Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
- The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
- Local Pay Range
- $152,900 - $210,155 USD
Benefits
- At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
- For specific details on the benefits offered in your region click here.
- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP
- Passion for collaboration, life-long learning, and driving business value through AI
Company info
- we look for individuals with strong, unique specializations to improve the overall strength of the team.
- This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.
- Open to remote locations.
- We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications.
- Serve as a trusted technical advisor to customers across a variety of domains
- At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
- Willing to travel once every 4-8 weeks to see customers (as needed)
Equal opportunity
- Our Commitment to Diversity and Inclusion
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This listing is sourced directly from Databricks's careers page and normalized into a canonical job model.