Top Tech Jobs & Startup Jobs

Identify, engage, screen, and manage world-class technical candidates for research, ML engineering, platform and product roles. Build talent maps and pipelines using academic conferences, publications, open-source communities and creative sourcing channels. Craft personalized outreach, deliver strong candidate experience, and partner with recruiting and hiring managers on strategic hiring initiatives.

Build low-latency, scalable model inference and serving infrastructure for SSM foundation models. Translate research into production, develop high-parallel data processing and evaluation pipelines, and ensure performance, reliability, and observability for large-scale distributed systems.

Own post-sales for a large portfolio of startup and SMB customers: drive onboarding, product adoption, retention and expansion. Build scalable onboarding, education, and lifecycle programs, monitor customer health, create playbooks and enablement content, and partner with Sales, Product, Engineering, and Marketing to improve the customer journey and product based on feedback. Use automation and AI to scale operations.

This role involves leading data strategy and managing a team to build and maintain multimodal datasets, ensuring data quality and pipeline efficiency.

As a Forward Deployed Engineer, you'll lead customer deployments and translate AI solutions into high-performance systems, with autonomy in crafting these solutions.

Partner with research and customers to identify model failures, design and maintain evals, source and pipeline high-quality human data, own data quality end-to-end, and drive commercial impact by enabling GTM and revenue growth.

As a Researcher, you will focus on advancing post-training methods and systems for multimodal models, including preference optimization and evaluation frameworks.

As Evaluations Lead, you will design evaluation frameworks for AI models, develop metrics and studies, and ensure assessment of intelligent behavior nuances.

This role involves conducting research on innovative neural network architectures like state space models and transformers, balancing efficiency and adaptability, and collaborating with teams to apply novel designs to real-world applications.