About the job
Who We Are
At Percepta, our mission is to revolutionize essential sectors through applied AI. We are dedicated to ensuring that key industries, such as healthcare, manufacturing, and energy, leverage cutting-edge technology. By collaborating with industry leaders, we facilitate AI transformation.
Expertise in engineering, product development, and research.
Mosaic, our proprietary toolkit for swift deployment of agentic workflows.
Strategic alliances with companies such as Anthropic, McKinsey, AWS, and others in the General Catalyst portfolio.
Our team is rapidly expanding, consisting of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating AI advancements into our daily lives. Percepta is a direct partnership with General Catalyst, a global leader in transformation and investment.
About the Role
As a Research Engineer/Scientist (Optimization) at Percepta, you will play a crucial role at the convergence of AI research and impactful real-world applications. You will push the boundaries of decision-making in vital industries by integrating state-of-the-art machine learning with robust optimization research. Collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure that our advanced decision systems are both innovative and practically beneficial for transforming organizational operations.
Responsibilities
Establish and lead ambitious research initiatives that broaden the horizons of data-driven decision-making.
Develop innovative optimization and machine learning methodologies for significant challenges such as planning, scheduling, routing, pricing, and inventory management.
Create high-fidelity simulators and comprehensive benchmarks that accurately reflect real-world constraints, uncertainties, and multi-objective trade-offs.
Translate research into practical applications by partnering with engineers to swiftly prototype solutions and effectively implement research insights.
You May Be a Great Fit If You
Hold a degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred) or possess equivalent research or industry experience.
Have demonstrated experience in optimization and machine learning.
Exhibit a strong ability to collaborate and communicate effectively across multidisciplinary teams.

