Senior ML Engineer

Develop LLM-powered agents for contact centers

Enhance customer engagement through actionable AI insights

Develop and deploy LLM-powered agents

Enhance customer engagement with AI solutions

Develop and optimize large language models for business impact.

Integrate LLM-powered features into sports betting products.

Integrate LLMs and intelligent agents into SaaS products

Design and implement scalable, production-ready AI solutions

Develop intelligent, agentic AI systems using cutting-edge technologies

Collaborate with AI leads, backend engineers, data engineers, and product managers

Act as a bridge between model creators and developers

Educate and inspire developers about AI offerings

Overseeing high-risk projects

Troubleshooting data center infrastructure

Design and implement reward signals for recommendations

Lead A/B testing for mid-term signals in recommender systems

Define and lead technical vision for AI systems

Architect scalable LLMs with retrieval and real-time decisions

Design, scale, and ship reward signals for recommendations

Lead cross-team work to test mid-term signals in recommendation systems

Serve as lead advisor to customers.

Assess customer requirements for Dispatch.

Design and enhance enterprise automation solutions.

Translate business requirements into automation processes.

Lead on-time delivery of Data Engine products.

Ensure SLA compliance and quality improvements.

Own the roadmap for payments platform components.

Build core payment infrastructure and APIs.

Scale user growth and retention using ML.

Collaborate with marketing and product teams.

Own the DocV forensic engine roadmap.

Scale DocV adoption across multiple sectors.

Architect scalable ML systems.

Develop graph-based and transformer models.

Architect scalable ML systems for multi-modal omics data.

Develop graph-based and transformer-based models.

Simplify SAP ERP integration processes.

Prioritize features based on diverse needs.

Hiring a remote intern for summer 2026.

Opportunity to work from anywhere in Australia.

Hiring for a Senior Technical Account Manager.

Position is remote and full-time.

Own the technical post-sales relationship with government accounts.

Develop and execute technical account plans.

Collaborate with team members on technical solutions.

Develop data extraction and classification systems.

Design and implement automated marketing campaigns.

Maintain and optimize CRM component libraries.

Develop AI-driven desktop applications.

Collaborate on API design for cross-platform consistency.

Lead the strategy for the configuration platform.

Design systems for safe data management.

Design and build Airtable bases and interfaces.

Develop AI-forward demo asset library for consultants.

Investigate and resolve customer issues.

Collaborate with engineering teams for clarity.

Develop backend solutions using Java.

Collaborate in engineering pods for backend delivery.

Discover operational pain points.

Design and build AI internal tools.

Lead and grow a team of ML engineers.

Define vision and roadmap for cart perception.

Define long-term strategy for health data platform.

Collaborate on data ingestion and processing.

Own customer's technical needs for platform integration.

Act as the main technical contact for Braze customers.

Maximize customer value from Smartsheet.

Advise on best practices and platform capabilities.

Port workloads to new platforms while ensuring stability.

Build benchmarks and stress tests for various hardware.

Lead discovery sessions for customer requirements.

Translate technical needs into actionable integration plans.

Understand customer needs and behaviors.

Analyze market competition and ROI.

Define and execute trading and risk roadmap.

Improve trading experience and risk product UX.

Design and build APIs/services for specific user groups.

Collaborate with AI to enhance development processes.

Build and deploy scalable AI services.

Contribute to system architecture design.

Design and implement customer-facing features.

Own the full development lifecycle from scoping to deployment.

Build and scale backend services for paid acquisition.

Develop integrations with major advertising platforms.

Lead and grow a team of engineers.

Own significant portions of platform capabilities.

Lead customer research initiatives.

Manage the Customer Advisory Board.

Own the technical post-sales relationship with government accounts.

Develop and execute technical account plans aligned with customer objectives.

Build and refine ML systems for promotional performance.

Optimize production ML models for efficiency.

Manage technical post-sales relationships with government accounts.

Develop and execute technical account plans.

Help clients translate needs into solutions.

Recommend strategies and support implementations.

Develop large-scale data pipelines.

Optimize ML infrastructure for deployment.