--- title: 'Applied Scientist, AI Product Methods at Evolver' canonical: 'https://feeny.ai/job/applied-scientist-ai-product-methods-evolver-palo-alto-09jthfs868nq' type: 'job' last_seen: '2026-09-09' --- # Applied Scientist, AI Product Methods at Evolver - **Company:** Evolver - **Location:** Palo Alto, CA - **Posted:** 2026-08-06 - **Last confirmed live:** 2026-09-09 - **Apply:** https://job-boards.greenhouse.io/evolver/jobs/4356996009 ## Job description ## About Evolver Evolver is an AI technology company transforming professional services. We combine deep domain expertise, advanced AI, and continuous applied learning to automate complex enterprise workflows while keeping people involved where judgment matters. Our goal is to help organizations operate more efficiently, accurately, and intelligently. ## About the Role We are hiring Applied Scientists in Palo Alto to define how important AI capabilities should work inside our products – and to turn those definitions into something Engineering can ship. Starting from a product need or system limitation, you will design a methodology, prototype it, evaluate its performance, and partner with Product and Engineering to incorporate the validated approach into the product. Research is an input, not the final output. You will use relevant academic and industry findings where useful, then translate them into practical methods that can be implemented, evaluated, and improved in real enterprise workflows. Translation into product is the core of this role. ## What You'll Do - Define methodologies for capabilities such as reasoning, planning, retrieval, grounding, verification, and learning from feedback. - Turn product needs and system limitations into clear methodological questions. - Evaluate relevant research and industry techniques, identifying what should be adopted, adapted, or rejected. - Design methodologies with explicit assumptions, workflows, decision rules, evaluation criteria, and known limitations. - Build prototypes (Python, Cloud – Azure preferred) and reference implementations. - Create evaluations that measure effectiveness, reliability, and failure modes. - Compare alternative approaches and make evidence-based recommendations. - Convert validated methodologies into specifications, reference code, evaluation assets, and acceptance criteria. - Partner with Product, Engineering, and domain experts through integration, testing, and refinement. ## Qualifications - You have taken an AI idea from concept to something real: a prototype, internal tool, or product feature. - You design methods with clear assumptions, failure modes, and evaluation criteria. - Practical Python and Cloud infrastructure experience and the ability to build working prototypes others can run and extend. - Experience designing or owning experiments, evaluations, or benchmarks that informed a ship/change/kill decision. - The ability to understand research findings and determine how they should – or should not – be applied in a product. - A solid understanding of machine learning and modern AI systems (for example language models, retrieval, agents, verification, or feedback loops). - Clear technical writing: you can turn a validated approach into a specification, reference implementation, and acceptance criteria. - Comfort working across Product, Engineering, and domain teams in a fast-moving environment. - Experience with language models, retrieval systems and memory, agents, or production AI evaluation. - A thesis-based master’s degree or PhD in computer science, artificial intelligence, machine learning, control theory, robotics, autonomous systems, or a related field. - A peer-reviewed publication record (helpful signal). What Success Looks Like Your work produces a clear methodology, a working prototype, credible evaluation evidence, and practical implementation guidance that can be integrated into the product, measured in production or realistic workflows, and improved over time. ## Benefits - Competitive Compensation: Tailored to your experience and skill set. - Flexible Work Arrangements: Hybrid working model for work-life balance. - Career Growth: Opportunities for professional development and leadership roles. - Innovative Culture: Work on transformative technologies and make an impact in the AI space. ## About Evolver ## Company Overview - **One-liner**: Evolver is a cybersecurity and digital transformation leader that provides advanced cyber defense, secure data environments, and intelligent software solutions for federal and commercial enterprises. - **Entity Type**: Private (no disclosed funding) - **Headquarters**: Reston, Virginia, USA - **Founded**: 2000 - **Founders**: Not publicly named ## Core Business - **Primary industries**: Cybersecurity, Digital Transformation, Information Technology Services, eDiscovery & Legal Services - **Target customers**: B2G (federal agencies such as DoD, DHS, USDA, CMS, NIH) and B2B (Fortune 500 commercial enterprises) - **Mission statement** (from their vision): To set the standard for excellence in Cybersecurity and Digital Transformation—empowering the nation’s most critical missions and enterprises to operate with confidence in unprecedented environments. ## Products & Services Evolver delivers integrated solutions across several domains: - **Cybersecurity**: Advanced cyber defense, proactive threat containment, and risk management to safeguard critical systems. - **Digital Transformation**: Modernization of IT infrastructure using AI, automation, cloud, and human-centered innovation. - **Managed Data & Technology**: Managed IT services to keep infrastructure and legal workflows secure and optimized. - **eDiscovery & Legal Services**: Technology-enabled legal support for eDiscovery and document management. - **Federal Solutions**: Tailored offerings for national security, defense, and civilian agencies (e.g., CMS-HIOS, USCIS-SOC, AOC programs). ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Annual revenue is not publicly reported; estimated employee count of “more than 500” nationwide (as per official site) - **Notable Investors/Partners**: Longstanding partnerships with the Department of Defense, Department of Homeland Security, Department of Agriculture, Centers for Medicare and Medicaid Services, National Institutes of Health, and Fortune 500 customers - **Growth Signals**: - 93% employee retention rate - Top 20% of all CPARS ratings on major federal programs - ISO 9001, ISO/IEC 27001, ISO 20000-1 certified; CMMI SVC/DEV ML3 appraised - Operates an Innovation Center and Catalyst Programs ## Competitive Advantages - **25+ years of mission-critical federal experience** with deep domain expertise - **Exceptional retention and employee expertise** (93% retention, top technologists and AI experts) - **Strong certifications and compliance** (ISO, CMMI) enabling access to sensitive government contracts - **Proven CPARS track record** consistently in top 20% across multiple programs ## Strategic Focus - **Current priorities**: Accelerating AI integration, strengthening cybersecurity posture, expanding digital transformation offerings for both federal and commercial clients - **Innovation engine**: Maintains an internal Innovation Center and Catalyst Programs to stay ahead of evolving threats and opportunities ## Why Work Here - **Culture**: Open, collaborative, trust-based environment emphasizing innovation and “bold thinking, relentless execution” - **Diversity & Inclusion**: Formal commitment to creating an inclusive workplace; equal opportunity employer - **Growth & Development**: Tuition reimbursement, continuing education, paid certification support, Communities of Interest/Practice - **Benefits**: Paid time off (vacation, sick, holidays, bereavement, civic duty), medical/dental/vision insurance, 401(k) with pre-tax and Roth options, paid parental leave, military leave, HSA/FSA, pet insurance, employee recognition programs - **Work Environment**: Not explicitly stated as remote or hybrid; typical for a federal contractor (likely hybrid with on-site requirements near Reston, VA, and client sites) - **Community**: Evolver CARES program for volunteerism and charitable giving ## Sources 1. [evolverinc.com](https://evolverinc.com/) – Homepage 2. [evolverinc.com/about](https://evolverinc.com/about/) – About page (history, certifications, vision) 3. [evolverinc.com/careers](https://evolverinc.com/careers/) – Careers page (benefits, culture, values) 4. [linkedin.com/company/evolver](https://www.linkedin.com/company/evolver) – LinkedIn company page (employee count, revenue estimate) ## Other roles at Evolver - [Enterprise Platform Architect](https://feeny.ai/job/enterprise-platform-architect-evolver-palo-alto-fd6vzecewrbw) — Palo Alto, CA - [Manager / Senior Manager, Tax AI Delivery & Implementation (Sales & Use Tax)](https://feeny.ai/job/manager-senior-manager-tax-ai-delivery-implementation-sales-use-tax-evolver-new-npag8ta280mc) — New York, NY - [Manager, Tax AI Product (Sales & Use Tax)](https://feeny.ai/job/manager-tax-ai-product-sales-use-tax-evolver-new-york-kvgpm630mj4p) — New York, NY - [Strategic Engagement Lead](https://feeny.ai/job/strategic-engagement-lead-evolver-palo-alto-n6bhz3pn2hk0) — Palo Alto, CA - [Domain Value Architect](https://feeny.ai/job/domain-value-architect-evolver-palo-alto-vvgy4yj5fs7a) — Palo Alto, CA - [Product Solutions Architect](https://feeny.ai/job/product-solutions-architect-evolver-palo-alto-jse14w9j6baa) — Palo Alto, CA - [Lead Senior Security Engineer (Enterprise AI Platform)](https://feeny.ai/job/lead-senior-security-engineer-enterprise-ai-platform-evolver-palo-alto-bsvz4wr2zb4c) — Palo Alto, CA - [Senior Product Manager](https://feeny.ai/job/senior-product-manager-evolver-palo-alto-w03r19pm412m) — Palo Alto, CA - [Applied Data Science Intern](https://feeny.ai/job/applied-data-science-intern-evolver-palo-alto-aqgekhted99e) — Palo Alto, CA - [Managing Director - Procurement](https://feeny.ai/job/managing-director-procurement-evolver-europe-ech72pec6dpj) — Europe