Evolver (evolver.ai)

HQ
Reston
52 Total Employees
Year Founded: 2024

Evolver (evolver.ai) Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers supplemental life insurance

Offers life insurance

Offers dental insurance

Offers health insurance

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers performance bonuses

Career Growth + Development

Provides customized development tracks

Work-Life Balance + Wellbeing

Offers generous PTO

Company Culture

Offers diversity-based Employee Resource Groups

Artificial Intelligence • Software • Generative AI
Develop mathematical and computational methods for quantifying information, uncertainty, information gain, redundancy, and evidence value in heterogeneous enterprise data. Apply information theory, Bayesian inference, statistics, and probabilistic modeling to build algorithms, prototypes, benchmarks, and evaluation methods for information-aware AI systems. Collaborate with research, engineering, and product teams to translate theoretical advances into practical systems.
19 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Software • Generative AI
Develop research methods for autonomous systems that model changing environments, estimate state, reason under uncertainty, plan, control, adapt, and evaluate outcomes. Apply optimization, control theory, probabilistic reasoning, and reinforcement learning to create algorithms, prototypes, benchmarks, and product architectures. Collaborate with research, engineering, and product teams to transfer mathematical methodologies into real-world intelligent systems.
One Month AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Software • Generative AI
Architect and improve enterprise SaaS platform availability, resilience, scalability, performance, and cost efficiency. Define measurable production-readiness, capacity, recovery, and performance requirements; design failover and recovery mechanisms; eliminate bottlenecks and single points of failure; lead testing and remediation; optimize AI model usage and infrastructure economics; and drive architecture execution across Engineering, Cloud Infrastructure, DevOps, QA, and AI teams.