PEFT Jobs

SambaNova is seeking a Senior Principal AI Solutions Engineer, a hands-on technical leader responsible for setting the technical direction of their solutions portfolio and actively building agentic applications. This role involves transforming customer problems into polished, production-ready applications rapidly. You will work across the entire modern AI stack, including open-weight models, agent frameworks, self-improving evaluation loops, multimodal and voice pipelines, and user-friendly front-end interfaces. You will lead engagements with strategic customers, mentor the solutions team, and provide valuable feedback to the platform. This position requires expertise in designing and building reliable single- and multi-agent systems with advanced features like planning, tool/function calling, and long-running workflows. You will also develop feedback loops for continuous improvement of agents, including automated evaluations and fine-tuning. A key aspect is setting up robust evaluation, tracing, and guardrails to ensure quality, cost-effectiveness, and latency for deployed solutions.

$234k - $286k

Burnt is building the Operating Brain for the global supply chain, a system designed to run businesses on autopilot. We transform historical data from ERP systems into actionable forecasts, ontologies for AI agents, and models tuned on proprietary data. Our initial focus is the food industry, a complex and operationally challenging sector. We are a highly competitive team dedicated to building the future of supply chain operations. This role is for our first dedicated ML hire, responsible for building and evolving the model layer of our system. Models must be production-ready, continuously improving, and cost-effective.

$150k - $275k

Distyl AI is seeking creative researchers to join our Post-Training team, focusing on adapting foundation models to meet real-world performance and alignment requirements for enterprise AI. This role involves developing and evaluating techniques to align models with business systems, bridging raw model capability with trustworthy, contextually aligned behavior. Researchers will investigate new methods for aligning large models with human and system-level objectives, exploring trade-offs in generalization, data efficiency, and controllability to ensure safe, effective, and scalable AI deployment across industries. The ideal candidate is driven by a desire to redefine how software is used through AI, rather than just incremental improvements.

$150k - $250k