multimodal Jobs

Scale AI

Scale works with leading AI labs to accelerate GenAI research by providing high-quality data. This role focuses on optimizing data curation and evaluation to enhance LLM capabilities in text and multimodal modalities. You will develop novel methods to improve the alignment and generalization of large-scale generative models, collaborate with researchers and engineers on best practices in data-driven AI development, and partner with foundation model labs to provide technical and strategic input on next-generation generative AI models.

$166k - $207k

Scale AI

Scale works with leading AI labs to accelerate progress in GenAI research, focusing on LLM post-training and evaluation. This role is on the evaluation pod, building benchmarks and diagnosing model failure modes in text and multimodal modalities. You will develop rigorous evaluations to reveal where and why frontier models fail, collaborating with researchers and engineers to define best practices in evaluation-driven AI development. You will also partner with foundation model labs to translate failure analysis into technical and strategic input for next-generation generative AI models.

$166k - $207k

Sierra is a leading platform for customer-facing AI agents, transforming how businesses serve customers and grow. This role focuses on the core systems that power these AI agents across various communication channels, including phone calls, SMS, WhatsApp, email, and in-app chat. You will be instrumental in building the future of how entire industries operate with AI agents, tackling complex challenges in real-time, multi-modal conversations and ensuring seamless integration with global communication networks. The team is responsible for making AI voice feel like a real conversation, developing safe integration methods for personal AI assistants, and building the agent experience within customer applications.

$230k - $390k

NVIDIA is seeking a talented Machine Learning Engineer to focus on Product Security, Content Safety, and ML Fairness and Robustness for LLMs across research and production teams. This role involves assessing, quantifying, and improving the safety and inclusivity of multi-modal LLM models in a scalable manner. You will develop datasets and models for training and evaluating systems related to Content Safety, ProdSec, Robustness, and ML Fairness. The position also includes researching and implementing techniques for bias detection and mitigation in LLMs and RAG systems, defining key metrics for responsible LLM behavior, and adhering to MLOps best practices for automation, monitoring, scale, and safety. You will also contribute to the MLOps platform and develop safety tools to enhance ML team effectiveness, collaborating with cross-functional teams to address content safety and ML fairness challenges.

$124k - $242k

Mirage is seeking an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You'll develop new approaches for building and extending agentic systems that understand and operate over complex, real-world data, particularly video. This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media.

$175k - $300k