Verification Engineering Internship

Define and enhance AI architecture for Service and Marketing capabilities

Lead development of backend systems and APIs for AI products

Strategically engage with enterprise clients

Create client-ready presentations with narratives

Lead integration projects effectively

Map customer needs to API capabilities

Lead technical vision for client projects

Design, develop, and deploy backend services and APIs

Design and build copilot experiences for faster case resolution.

Develop systems to detect bad actors for customer and agent protection.

Design and develop public API product

Collaborate on prioritizing API features

Build and maintain scalable data pipelines

Improve data models and schema design

Solving business-critical problems for customers using AI technologies

Leading technical pre-sales and AI discovery for strategic customers

Break down large projects into manageable tasks and deliver them in phases

Collaborate with product, design, and analytics teams on ideation and decisions

Lead technical vision for client projects

Develop core backend services with Ruby, Go, and Python

Build ML models for business, product, and operations.

Collaborate to prevent incidents and develop detection strategies.

Identify trends and opportunities through data analysis and market research

Collaborate with cross-functional teams to enhance product performance

Design and build core AI services for Marketing and Service AI

Implement scalable, low-latency backend APIs

Own product analytics for Contact Center

Drive day-to-day analytics

Design and manage scalable, secure, and highly available systems

Establish and manage SLOs and SLAs for ClickHouse Cloud

Build Looker dashboards for KPIs and revenue pacing

Investigate revenue trends to support Finance and RevOps

Lead and collaborate on global football metrics projects

Drive R&D roadmap for new models and metrics

Provide AI solutions for Dropbox products

Implement machine learning algorithms

Hiring a remote Data Science Intern for 2026 Summer in Australia

Opportunity to work with Atlassian on team collaboration tools

Offering remote Data Science Internship

Position can be done anywhere in the United States

Architect and build next-generation AI products

Lead and mentor engineering teams

Guide customers through product journey

Build custom demos and prototypes

Propose and execute applied research initiatives impacting Conversational AI

Utilize Transformer architecture for effective prompting and orchestration

Develop real-time algorithms for safe self-driving trajectories

Integrate motion planning with ML for verifiable AI

Build full-stack web apps for scientific domains

Create data visualizations and dashboards

Lead and execute advanced programs for Archer Defense

Collaborate with cross-functional teams

Execute advanced data analysis in marketing analytics and big data

Develop dashboards and reporting frameworks to track performance against goals

Design and build security infrastructure for Starlink systems

Develop security features to enhance system security

Maintain and improve CI/CD pipelines

Expand automation using Cypress

Design end-to-end data/analytics architecture

Architect scalable data platforms

Lead architecture and standards for endpoint management and workplace infrastructure.

Evaluate and implement new tooling with security, cost, and tradeoff considerations.

Join Archer Defense & Advanced Programs team

Incubate, market, capture, and execute advanced programs

Developing end-to-end social media support for Starlink feedback.

Administering Sprinklr for setup, security, reporting, and automation.

Own fleet reliability and define SLOs

Architect infra on GCP and AWS using Terraform for AI workloads

Own and develop Python-based underwriting and decisioning product

Define architecture and infrastructure

Build and maintain ETL/ELT data pipelines for analytics and AI use case

Develop data models to support reporting, experimentation, and GenAI workflows

Design and build security infrastructure for Starlink

Develop security features for various Starlink systems

Design, develop, and test autonomy software

Collaborate with experts from various fields

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Propose and execute research initiatives for Conversational AI with LLMs

Analyze conversational datasets and implement research-inspired strategies

Guide customers through product journey

Build demos and prototypes

Implement ML models for campaign optimization in DSP with CTV focus

Lead design of model orchestration layer for multi-objective optimization

Design and implement features with cross-functional teams

Build scalable frontend/backend code using specified technologies

Develop and implement advanced ML algorithms

Build intelligent software using LLMs

Take ownership of quarterly goals and lead the engineering team

Collaborate with product, design, and analytics teams on ideation and decisions

Develop technical collateral and messaging for the Fivetran platform

Generate market insights to inform product positioning and use cases

Build end-to-end social-channel experiences

Capture profiles, consent, and engagement data

Implementing and deploying LLM models for conversational agents

Collaborating with cross-functional teams for deployment and scalability

Translate requirements into scalable Salesforce solutions

Collaborate with cross-functional teams

Shape analytics for growth and commercial strategies

Evaluate full-funnel performance for acquisition and monetisation