Lead Reliability Engineer

Build and refine data infrastructure and tools

Collaborate with teams to integrate systems

Design, code, and maintain secure asset solutions

Enhance smart contract security programs

Execute commercial strategy and analyses for FanDuel Predicts

Own performance tracking and strategic analyses for the product

Develop and maintain backend platform for mortgage lenders

Own features from design to production release

Optimizing product performance through data analysis

Collaborating with key stakeholders for product decisions

Lead identity security initiatives

Implement and improve IAM systems

Code, test, debug, and maintain production software for features

Collaborate with cross-functional teams to ensure smooth releases

Design and develop custom automation solutions

Commission, deploy, and maintain automation tools

Architect, build, and optimize payments platform

Collaborate with cross-functional teams

Provide IT support for SF office and escalate complex issues globally

Troubleshoot macOS, SaaS apps, networking, and A/V systems

Owning the quality of new features through planning tests and providing feedback

Defining test strategies for P0 launches

Architect and improve detection capabilities

Enhance detection strategy with new detections

Develop and scale network operations processes and tools

Analyze operations data for efficiency improvements

Serve as technical and strategic advisor to partners on payroll solutions

Collaborate with sales in pre-sales to design holistic solutions

Deliver high-impact software projects

Collaborate with engineers and partners

Plan and scale technology projects

Lead data architecture, security, and performance

Leading a team at the product engineering and delivery intersection

Developing tooling and automation for repeatable deployments

Develop vision and roadmap for compute frameworks and validation pipelines

Collaborate with AI teams for dataset automation

Advise partners on evaluating, integrating, and optimizing payroll solutions

Collaborate with sales to design holistic API-driven solutions

Provide technical leadership

Ensure software reliability and availability

Develop state-of-the-art voice cloning and text-to-speech solutions

Implement low latency and cost-effective systems

Guide customers through product journey

Build demos and prototypes

Enhance AI systems through code validation and refinement

Validate algorithms for technical accuracy

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Analyze threat actor behavior and abuse patterns

Research and implement abuse detection techniques

Provide technical leadership and value to sales

Drive technical discovery and solution design for strategic accounts

Lead architecture and build high-scale data infrastructure and pipelines

Mentor engineers and promote data-engineering best practices

Implement and optimize AI-driven solutions for internal operations.

Translate strategic objectives into functional software applications.

Drive success and stability of the Geotab ecosystem

Develop and customize solutions

Design and build backend services for data processing

Implement and improve data pipelines and APIs

Design and implement security solutions using AI technologies

Ensure compliance with infrastructure as code (IAC) standards

Lead and scale trajectory planning team

Drive launch readiness by improving on-road behavior

Identify RF spectrum opportunities

Model spectrum sharing plans

Bridge process mining to business outcomes in Healthcare Distribution

Lead value workstreams with Sales, Services, and Partners

Drive success and stability of Geotab ecosystem

Customize solutions for partners and end-users

Define and drive long-term data architecture, modeling, and transformation

Establish reliability, observability, and quality standards across pipelines

Hiring a remote Data Scientist at any level

Full-time position with flexibility to work remotely in the US

Improve AI systems through code validation and refinement

Validate algorithms for technical accuracy

Contribute to cutting-edge voice cloning and text-to-speech technologies

Develop efficient and high-performance backend solutions

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Guide customers through product journey

Build custom demos and prototypes

Analyze threat actor behavior and abuse patterns

Implement state-of-the-art LLM-driven techniques

Design backend systems for contract lifecycle management

Build and evolve contract management for CPA Contract/Billing model

Lead high-priority incident escalation and containment

Automate monitoring with Python and Go

Translate business challenges into analytical questions using data science.

Design and validate improvements to inventory buying.

Drive data velocity and production efficiency

Ensure end-to-end ownership of data lifecycle

Lead SEO and AEO projects

Design and ship full-stack features

Design, develop, and deploy AI features

Integrate LLMs into production workflows

Lead and balance hands-on VFX asset creation with team leadership.

Plan, create and test content pipelines with Principal VFX Artist before deployment.

Build and deploy LLM-powered apps

Partner with stakeholders for automation opportunities