Career Opportunities
Open positions from CAIS 2026 sponsors building the future of AI and agentic systems.
Staff GenAI Research Scientist - Agents
As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art.
Apply on DatabricksSr. Machine Learning Engineer
As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers to drive the next phase of development. You will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale.
Apply on DatabricksStaff Machine Learning Engineer
As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers to drive the next phase of development. You will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale.
Apply on DatabricksStaff Software Engineer - Agent Quality
As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously.
Apply on DatabricksResearch Engineer, Test-Time Cognition for Agentic AI
Voaige is looking for a strong research engineer to build the systems infrastructure behind their inference-time cognition layer for LLMs and agentic AI. You will implement algorithms for dynamic compute allocation, inference-time search, model orchestration, agent evaluation, and production-scale experimentation. This role is ideal for someone who can turn frontier research ideas into fast, reliable, measurable systems.
Apply on VoaigeResearch Scientist, Test-Time Cognition for Agentic AI
Voaige is looking for a PhD-level research scientist to help define the scientific foundations of test-time cognition for LLMs and agentic AI systems. You will develop new algorithms for adaptive inference, uncertainty-aware compute allocation, search, verification, and multi-model cognitive orchestration.
Apply on VoaigeSenior Platform Engineer
This Senior Platform Engineer role is critical to building and scaling the infrastructure behind OpenHands, including both the SaaS platform and enterprise self-hosted deployments. The team owns the core systems that enable reliable AI-powered developer workflows, and the role offers deep technical ownership across Kubernetes, cloud infrastructure, deployment automation, and platform reliability.
Apply on OpenHandsSite Reliability Engineer (SRE)
Build the automation, observability, and tooling that allows Mithril to coordinate GPU compute across multiple cloud providers at scale. You will work directly with the founding team on high-impact infrastructure decisions, from SLO design to capacity orchestration, with clear visibility into the technical and commercial dynamics of the business.
Apply on MithrilSoftware Engineer - Member of Technical Staff (Consumption)
Work across Mithril's core engineering areas including the developer-facing product, billing, API surface, orchestration engine, and cloud provider integrations. You will own meaningful features end-to-end, shipping against a platform that handles real revenue, spot auctions, reservation pricing, and capacity allocation.
Apply on MithrilSoftware Engineer - Member of Technical Staff (Platform)
Ship features end-to-end across Mithril's orchestration and marketplace engine, supply integrations, and developer-facing surfaces. Build the systems that manage GPU capacity across providers, handling real market dynamics including spot auctions, reservation pricing, and capacity allocation across a heterogeneous supply base.
Apply on MithrilMachine Learning Researcher, Multimodal LLMs
We're hiring a Machine Learning Researcher to develop Bland's next-generation multimodal LLM stack that unifies speech, text, tools, and real-time reasoning into a single system powering AI phone agents at scale. You'll own conversational AI models end-to-end, from idea through production systems serving millions of calls per day, defining how our agents listen, think, and act in real time with streaming audio, tool execution, and dynamic context. Ideal candidates have a strong LLM/multimodal or speech-language background, move fast from idea to experiment to conclusion, and have a sharp instinct for what makes voice interactions feel genuinely human rather than robotic.
Apply on BlandMachine Learning Researcher, Audio
We're hiring a Machine Learning Researcher to drive foundational work across Bland's entire voice stack, including text-to-speech, speech-to-text, neural audio codecs, and LLMs, defining how our AI phone agents understand, reason, and speak in real time at enterprise scale. You'll take ideas from theory through large-scale training to production inference serving millions of calls per day: designing expressive, controllable TTS systems, building ASR robust to accents, noise, and telephony artifacts, and pioneering neural audio codecs that achieve extreme compression with minimal perceptual loss. Ideal candidates bring deep research foundations in self-supervised, multimodal, or generative modeling, hands-on experience scaling TTS/STT/codec systems, and an obsession with making voice agents sound truly human.
Apply on Bland