Research Engineer - Applied AI at Granicus

San Francisco, California, United States

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$160,000 – $250,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Finance, AIIndustries

Requirements

Strong background in machine learning, probabilistic modeling, optimization, or distributed learning
Experience building and tuning algorithms for structured, tabular, graph, or relational data
Ability to reason from first principles about efficiency, scaling behavior, and information flow
Hands-on experience with PyTorch, JAX, TensorFlow, or custom ML kernels
Strong Python skills and familiarity with systems languages such as Rust, C++, or CUDA
Experience with large-scale data pipelines, model evaluation frameworks, or distributed systems
Demonstrated ability to turn theoretical concepts into performant, reliable code
Comfort working in ambiguous research environments while delivering measurable outcomes
Curiosity for how structure and efficiency reshape the next generation of AI
Bonus: Structured representation learning, tabular or multimodal models, or relational data experience

Responsibilities

Transform foundational ideas from Granica Research and Prof. Andrea Montanari’s group into scalable algorithms and experimental prototypes
Build the evaluation harnesses, metrics, and datasets that reveal real signal from research concepts
Define and refine the metrics that determine progress in structured AI
Develop efficient learning methods for relational, tabular, graph, and enterprise data
Prototype representation learning architectures and compression-aware models for large-scale structured information
Implement fast training and inference loops using PyTorch, JAX, or custom kernels
Optimize memory, compute, and data-movement paths with a focus on cost, latency, and throughput
Design hybrid learning systems that reason over structured data natively, not through text intermediaries
Collaborate with Research Scientists to validate hypotheses at scale
Work with Systems Engineers to integrate algorithms into Granica’s core data platform
Work with Product Engineering to ship features that power live enterprise workloads
Run controlled experiments, analyze performance deltas, and deliver results with clear benchmarks
Drive the loop from prototype to production, improving the system each cycle

Skills

Key technologies and capabilities for this role

AIMachine LearningAlgorithmsScalable SystemsData PipelinesEvaluation MetricsStructured DataPetabyte ScaleResearch PrototypesOptimization

Questions & Answers

Common questions about this position

What is the salary range for the Research Engineer - Applied AI position?

The salary range is $160K - $250K.

Is this role remote or onsite?

This is an onsite position.

What technical skills are required for this role?

The role requires experience with PyTorch, JAX, or custom kernels for building high-performance learning pipelines, along with skills in algorithm development for structured data like relational, tabular, and graph data.

What is the team structure like for this position?

The role is part of the Applied AI Research Team, involving deep collaboration with Research Scientists, Systems Engineers, and Product Engineering teams.

What makes a strong candidate for this Research Engineer role?

Strong candidates are engineers who can think like researchers and build like systems experts, with high ownership to translate theory into production-ready systems and measurable performance improvements.

Granicus

Digital solutions for government agencies

About Granicus

Granicus provides digital solutions specifically designed for government agencies and public sector organizations. Their software products help improve the efficiency and transparency of government operations. Granicus offers a variety of tools, including platforms for managing public meetings, live streaming legislative sessions, and facilitating citizen engagement and feedback. These solutions enable government entities to communicate better with citizens and deliver services online more effectively. Unlike many competitors, Granicus focuses exclusively on the GovTech market, catering to a wide range of clients from federal to local government levels. The company's goal is to enhance public engagement and streamline government processes through technology, generating revenue primarily through subscription-based services and professional support.

Core, West VirginiaHeadquarters

1999Year Founded

$10MTotal Funding

EARLY_VCCompany Stage

Government & Public SectorIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Unlimited Paid Time Off

401(k) Company Match

Paid Parental Leave

Group legal coverage

Risks

Integration challenges with Simpleview and SmartGov may delay product enhancements.

Focus on destination marketing could divert attention from core GovTech services.

Intensifying competition in the GovTech market pressures Granicus to innovate rapidly.

Differentiation

Granicus specializes in digital solutions for government agencies, enhancing public engagement.

The company offers subscription-based services, ensuring a steady revenue stream.

Granicus provides tools for managing public meetings and live video streaming.

Upsides

Increased demand for digital public engagement tools boosts Granicus' market potential.

Acquisitions of Simpleview and SmartGov expand Granicus' market share and service offerings.

Growing government funding for digital transformation projects offers new revenue streams.

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