Top Tech Jobs & Startup Jobs

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

The Recruiter will source and assess software engineers and engineering leaders, focusing on candidates with a startup mindset and fluency in AI.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

The AI Data Manager will design data annotation strategies, manage data pipelines, and collaborate with researchers to enhance AI models.

As a Research Sourcer, you'll build talent pipelines for elite researchers in AI, engage with hiring managers, and enhance sourcing strategies.

The Product Manager will define the strategy for Dream Machine, oversee product development, and enhance user engagement for consumer-focused AI creative tools.

The role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.

Recruit senior technical roles in Data Infrastructure and Machine Learning Engineering, collaborating with hiring managers and sourcing candidates from diverse platforms.

As a Technical Artist, you'll bridge research and application by architecting pipelines, fine-tuning models, and ensuring high aesthetic quality, collaborating closely with design and research teams.