ZipRecruiter
Senior Data Scientist - AI/ML Engineer
ZipRecruiter, Sunnyvale, California, United States, 94087
Overview
Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our DataMates technology brings agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions fit into tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, meet the growing demands of data operations, business intelligence, and analytics. Used by thousands of users worldwide, and backed by prominent investors, we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published VentureBeat article. Team
As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. Responsibilities
Senior Generative AI Engineer who brings deep expertise in building and deploying large models and AI systems at scale. This role is for those with extensive experience in developing production-grade AI solutions, particularly in generative AI and models. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide. Qualifications
5+ years of hands-on ML/AI experience with at least 1 year of hands-on GenAI/LLM projects Track record of successfully deploying ML/AI systems in production environments Experience working with enterprise customers and understanding their unique requirements Technical Skills
Strong programming skills in Python, including expertise in ML stack (Hugging Face, NumPy, Pandas, scikit-learn) Production experience with deep learning frameworks (PyTorch/TensorFlow) and transformer architectures API development expertise (FastAPI) and production deployment experience Proven experience with prompt engineering best practices and LLM evaluation metrics Technical Skills: Infrastructure & Deployment
Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines Experience with observability and monitoring of LLM applications Proficiency in model compression, distillation, and deployment at scale Technical Skills: Model Development & LLMs
Expertise in semantic search and embedding models Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems Advanced model fine-tuning techniques, including LoRA, Prompt Tuning, and Adapter Training Why you should join Altimate AI
Advanced AI Agent Architecture: Design and implement multi-agent systems that enable collaboration between AI and human data professionals. Large-Scale RAG Systems: Build retrieval-augmented pipelines for enterprise-scale knowledge bases. Model Optimization & Deployment: Implement techniques to adapt models for enterprise tasks. Scalable AI Infrastructure: Develop cloud architectures for large-scale training, inference, and multi-agent orchestration. Enterprise Security & Compliance: Implement security measures for LLM applications including data anonymization and prompt injection prevention. Impact
Innovation Leadership: Shape the future of enterprise AI through autonomous data operations and AI-driven automation. Product Development: Influence DataPilot and DataMates with cutting-edge features. Team Growth: Help build and mentor a growing team of AI engineers. Open Source Contribution: Lead and contribute to open-source initiatives. Technical Growth: Work with the latest AI technologies. What We Offer
Competitive salary and equity
Base Salary Range: $135,000 - $210,000 Equity: 0.05% - 0.4%
Access to cutting-edge AI infrastructure and resources Team offsite and opportunities to attend and present at leading industry conferences Learning budget for AI courses, books, and computing resources Dynamic and intellectually stimulating work environment Opportunities to shape the direction of the company
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Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our DataMates technology brings agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions fit into tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, meet the growing demands of data operations, business intelligence, and analytics. Used by thousands of users worldwide, and backed by prominent investors, we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published VentureBeat article. Team
As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. Responsibilities
Senior Generative AI Engineer who brings deep expertise in building and deploying large models and AI systems at scale. This role is for those with extensive experience in developing production-grade AI solutions, particularly in generative AI and models. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide. Qualifications
5+ years of hands-on ML/AI experience with at least 1 year of hands-on GenAI/LLM projects Track record of successfully deploying ML/AI systems in production environments Experience working with enterprise customers and understanding their unique requirements Technical Skills
Strong programming skills in Python, including expertise in ML stack (Hugging Face, NumPy, Pandas, scikit-learn) Production experience with deep learning frameworks (PyTorch/TensorFlow) and transformer architectures API development expertise (FastAPI) and production deployment experience Proven experience with prompt engineering best practices and LLM evaluation metrics Technical Skills: Infrastructure & Deployment
Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines Experience with observability and monitoring of LLM applications Proficiency in model compression, distillation, and deployment at scale Technical Skills: Model Development & LLMs
Expertise in semantic search and embedding models Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems Advanced model fine-tuning techniques, including LoRA, Prompt Tuning, and Adapter Training Why you should join Altimate AI
Advanced AI Agent Architecture: Design and implement multi-agent systems that enable collaboration between AI and human data professionals. Large-Scale RAG Systems: Build retrieval-augmented pipelines for enterprise-scale knowledge bases. Model Optimization & Deployment: Implement techniques to adapt models for enterprise tasks. Scalable AI Infrastructure: Develop cloud architectures for large-scale training, inference, and multi-agent orchestration. Enterprise Security & Compliance: Implement security measures for LLM applications including data anonymization and prompt injection prevention. Impact
Innovation Leadership: Shape the future of enterprise AI through autonomous data operations and AI-driven automation. Product Development: Influence DataPilot and DataMates with cutting-edge features. Team Growth: Help build and mentor a growing team of AI engineers. Open Source Contribution: Lead and contribute to open-source initiatives. Technical Growth: Work with the latest AI technologies. What We Offer
Competitive salary and equity
Base Salary Range: $135,000 - $210,000 Equity: 0.05% - 0.4%
Access to cutting-edge AI infrastructure and resources Team offsite and opportunities to attend and present at leading industry conferences Learning budget for AI courses, books, and computing resources Dynamic and intellectually stimulating work environment Opportunities to shape the direction of the company
#J-18808-Ljbffr