Applied AI Scientist: Product Method Architect

Evolver; Palo Alto (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Hybrid work model

Career growth

Innovative culture

Job summary

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.

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.

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.

Responsibilities

• 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.

Skills

Python

Cloud infrastructure

Language models

Retrieval systems

Memory

Agents

AI evaluation

Experiment design

Technical writing

Cross-functional collaboration

Education

Master's or PhD in CS/AI/ML

Tools

Azure

Job description

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.

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.