Top Tech Jobs & Startup Jobs in Austin, TX

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Drive new customer acquisition and revenue growth as part of the Outbound Sales Development team. Collaborate with cross-functional teams to build a strong sales pipeline and understand customer needs in the ASR space.

Provide legal counsel to research and product teams on model development and deployment. Draft and review consumer-facing terms, privacy policies, and disclosures. Build privacy program and AI governance frameworks, translate international AI regulatory developments into actionable policies, and scale AI-native legal workflows across the company.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

Fixed-term (maternity cover) Senior HR Business Partner to provide employee relations, manager coaching, performance management, and People program continuity. Partner with leaders, People Ops, Legal, Finance, and Recruiting; support immigration processes and external counsel; maintain compliance and people systems; enable change, talent planning, and manager effectiveness in a fast-paced, remote-first environment.

Own full-cycle global recruiting for senior, hard-to-fill technical roles across Research, Engineering, and Product. Build proactive sourcing strategies, define role scope and interview plans with hiring managers, evaluate technical depth for AI-native products, deliver excellent candidate experience across time zones, use funnel metrics to improve hiring velocity, and collaborate with People Ops, Legal, and Finance to scale compliant international hiring.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

Lead the design and implementation of backend services for data cataloging and ML training systems, focusing on performance and scalability.