The Machine Learning Engineer will design, build, and ship production-grade AI systems, collaborating with teams to optimize workflows and evaluate AI results.

As a Research Engineer/Scientist, advance large-scale language model technologies focusing on pre-training, post-training, and Reinforcement Learning, while collaborating with product managers and engineers to implement impactful AI solutions.

The Embedded Product Manager will define AI transformation strategies, collaborate with engineers, and deliver impactful workflows by working with stakeholders to prioritize use cases and quantify business impacts.

The Research Engineer/Scientist will advance decision-making in critical industries using optimization and machine learning, collaborating with product managers and engineers.

The Applied AI Engineer collaborates with clients to define AI strategies, identifies high-impact use cases, and builds production-ready AI systems, focusing on customer needs and delivering tangible business value.

The AI Infrastructure Engineer will manage and enhance infrastructure for AI systems, focusing on deployment, operational reliability, and observability of autonomous agents while ensuring compliance in a highly dynamic environment.

As an Embedded Research Engineer/Scientist, you will drive AI research impact, prototyping models and engaging closely with customers to translate research into production systems.

The Technical Recruiter will manage the full recruitment process, develop sourcing strategies, enhance candidate experience, and engage with candidates and stakeholders, focusing on technical hiring for Percepta's growth.

Applied AI Engineers will define and deliver AI systems for business value, collaborating with customers, building real products, and advancing AI tools.

As an Embedded Product Manager, you will define AI transformation strategies, collaborate with stakeholders, and lead product development to deliver and iterate on high-value workflows.

The Senior Platform Engineer will build infrastructure for AI systems, design complex workflows, and develop reusable abstractions while collaborating with customers.

As a Research Engineer/Scientist in Reinforcement Learning, you will develop RL methods, maintain experimental infrastructure, and collaborate to enhance AI solutions in critical sectors.