The typical pay range for this role is: $111,240.00 - $222,480.00
Responsibilities
Lead and participate in the development, validation, and delivery of algorithms, statistical models, and reporting tools to solve complex analytical problems.
Develop and apply algorithms and statistical predictive models to evaluate scenarios and potential future outcomes.
Analyze structured and unstructured data using advanced statistical techniques and mathematical methods.
Collaborate with business partners to understand problems and goals and develop predictive models, statistical analyses, data reports, and performance metrics.
Develop and participate in presentations and consultations with internal and external stakeholders regarding analytics results and solutions.
Requirements
Master's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
Owning technical deployments of an AI-powered revenue platform in enterprise customer environments, turning complex data into verified models and production agent workflows.
Compensation
Base salary: $180,000 to $250,000 annually.
Responsibilities
Lead customer onboarding by scoping data access, exploring undocumented warehouses, and mapping schemas to business concepts such as churn, expansion, and recurring revenue.
Build and validate semantic models by interviewing stakeholders, reconciling definitions, and encoding business logic in verified SQL.
Deploy platform workflows and agent pipelines into customer environments, then monitor their performance and outcomes.
Manage multiple customer engagements, collaborating with customer data and engineering teams while doing hands-on data work.
Use internal agent tooling and share feedback on evaluation guardrails, validation frameworks, and agent infrastructure.
Requirements
quantitative STEM degree or equivalent foundations
Design, prototype, evaluate, and operationalize generative and agentic AI capabilities within Application Security, combining software engineering, security expertise, and AI-enabled development patterns.
Compensation
Anticipated salary range: $125,300 - $178,900
Responsibilities
Design, build, and test prototypes and production-ready capabilities using generative AI, large language models, AI agents, and multi-step agentic workflows.
Develop Python-based services, automation, integrations, evaluation harnesses, and supporting tools for Application Security use cases.
Evaluate AI-enabled security products and frameworks for vulnerability discovery, exploitability analysis, secure code guidance, remediation, validation, and developer workflow integration.
Create controlled workflows in which AI capabilities can analyze code, use approved tools, recommend or generate changes, execute tests, and produce auditable evidence while maintaining appropriate human oversight.
Establish technical guardrails for agent identity, least privilege, data access, tool use, repository access, secrets handling, logging, traceability, change control, and safe failure or termination.
Requirements
Bachelor's degree in computer science, software engineering, cybersecurity, information systems, or a related field, or equivalent practical experience.
Foundational engineering hire to own technical strategy and execution for the UpNext platform, focusing on college transfer portal intelligence.
Locations (3)
Charlotte, North Carolina, United States
New York City, New York, United States
United States
Compensation
Base salary: $120,000 to $200,000, depending on experience and demonstrated ability. This is a founding role with meaningful equity vesting over four years.
Responsibilities
Own the architecture and technical roadmap end to end: prioritization, sequencing, and communicating status to leadership
Write production code across the stack, using AI coding agents to move faster
Ship features across core platform surfaces: Search, Smart Lists, Insights, Team Pages, Athlete Profiles, and the Activity Feed
Machine Learning Engineer Intern - Video Foundation Models & Agentic AI
Lead Developer within the Transformation Office's R&D team providing technical leadership for AI‑enabled solutions supporting a strategic Fund Services transformation program.
Compensation
Salary Range: CAD $108,000 - CAD $140,000
Responsibilities
Assess business processes and identify opportunities for AI‑enabled optimization
Design architectures integrating AI capabilities with Sigma‑based analytics and reporting solutions
Enable advanced analytics and insights by combining cloud data platforms, AI services, and Sigma
Design and implement solutions using AWS services, UiPath, Databricks, and other cloud platforms
Develop and optimize machine learning models, including LLMs and conversational AI systems
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