Senior GenAI Machine Learning Engineers LLM Products Applied AI
Senior GenAI Machine Learning Engineers LLM Products Applied AI
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1 Vacancy
Job Description
P1131
The Applied AI team at Databricks sits at the forefront of advancing GenAIpowered products. Over the past years weve launchedDatabricks Assistant and AI/BI Genie 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 texttosql 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.
Key Responsibilities
- Shape the direction of our applied AI areas and intelligence features in our products. Drive the development and deployment of stateoftheart 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 finetuning 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 crossfunctional 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.
What Were Looking For
- 28 years of machine learning engineering experience in highvelocity highgrowth 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 / pretraining datasets and evaluation benchmarks.
- Proficiency in Python TensorFlow/PyTorch and scalable ML architectures.
- Ability to drive endtoend model development from research and prototyping to deployment and monitoring.
- Strong analytical and problemsolving skills with a passion for improving AIdriven user experiences.
- Strong coding and software engineering skills and familiarity with software engineering principles around testing code reviews and deployment.
- Experience with LLM finetuning prompt engineering and retrievalaugmented generation (RAG) is a bonus.
Why Join Us
At Databricks we are building stateoftheart AI solutions that redefine how users interact with data and our products. Youll have the opportunity to shape the future of AIdriven products at Databricks work with cuttingedge models and collaborate with a worldclass team of AI and ML experts.
If youre excited about pushing the boundaries of AI in realworld applications wed love to hear from you!
Please note we are open to employees working from our Mountain View CA office for this position.
Required Experience:
Senior IC
Employment Type
Full Time
