Applied Scientist II, Sheriff Team - Payroll Tech (AI)

Location: Hyderabad, Telangana, India

Company

hirify.global develops customer-facing and internal technology products, including large-scale payroll systems and AI applications.

What you will do

• Develop and advance ML and Generative AI capabilities for payroll anomaly detection, sentiment analysis, ticket classification, summarization, categorization, and virtual assistance.
• Design ML and LLM-based approaches for extracting, interpreting, and codifying payroll policies into structured executable rules.
• Integrate models and pipelines with USC, Xylem, SIM-Ticketing, Pay Code Governance, and the PoCo rule evaluation engine.
• Balance model accuracy, latency, innovation, and production stability for large-scale payroll applications.
• Lead scientific strategies for Percept, Penny-AZA integration, and PoCo expansion to support 100K US employees.
• Mentor scientists and engineers, contribute to roadmaps, review research, and participate in hiring and scientific communities.

Requirements

• PhD, or a master's degree with 4+ years of experience in computer science, computer engineering, machine learning, or a related field.
• 3+ years of experience building models for business applications.
• Experience with patents or publications at top-tier peer-reviewed conferences or journals.
• Programming experience in Java, C++, Python, or a related language.
• Knowledge of algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
• Experience with machine learning and large language model fundamentals, including model architecture, training and inference lifecycles, and execution optimization.

Nice to have

• Experience with Unix/Linux and professional software development.
• Experience deploying LLMs in production on GPUs, Neuron, TPU, or other AI acceleration hardware.
• Experience with relational analytic databases, Elasticsearch, and Big Data services such as EMR, EC2, or Glue/Lambda.
• Strong written, spoken, customer service, communication, and interpersonal skills.

Culture & Benefits

• Work on AI systems supporting payroll operations and employees at global scale.
• Opportunities to publish research and participate in peer-reviewed conferences and journal reviews when appropriate.
• Inclusive culture with workplace accommodations available during application and hiring.