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The IT Lead will design and manage the company's IT ecosystem, focusing on areas such as IAM, MDM, security, SaaS management, and compliance readiness. This role involves both strategic planning and hands-on operations.

The Technical Recruiter will manage full-cycle recruiting for engineering and research roles, source candidates, facilitate interviews, and refine recruitment processes.

The Engagement Manager oversees customer relations for AI projects, ensuring quality delivery, tracking multiple concurrent engagements, and acting as the customer's voice internally.

The AI Enterprise Engineer will work with enterprise customers to define model specifications, analyze agent behavior, and benchmark models using Bespoke Labs tools, requiring a strong foundation in AI/ML and production deployment.

Bespoke Labs seeks unconventional talent skilled in building custom models and agents from open-source projects. This role focuses on methodical post-training to enhance enterprise performance.

As the first Product Engineer, you'll develop the platform for RL environment curation, enhancing user experiences through intuitive design and robust backend infrastructure.

The Data Operations Manager will oversee the scaling of data ecosystems for RL environments, manage contractors, curate datasets, optimize data pipelines, and ensure efficient data throughput and quality.

The Program Manager for Data Operations will manage data ecosystems for AI models, guide experts, and optimize workflows in reinforcement learning projects.

The Research Engineer will develop and deploy reinforcement learning environments, collaborate with research labs, and ensure high-quality systems at scale.

Develop systematic strategies for creating RL environments, analyze agent behavior and failures, validate and package benchmark environments for external use.