Pricing Director Role

Review and recommend pricing model revisions.

Enhance and develop new pricing models.

Collaborate with team members on technical solutions.

Develop data extraction and classification systems.

Evaluate models across accuracy and latency.

Build benchmarking pipelines for competitive analysis.

Hiring a remote intern for summer 2026.

Opportunity to work from anywhere in Australia.

Hiring a remote Data Scientist for growth.

Full-time position available across the U.S.

Architect scalable ML systems for multi-modal omics data.

Develop graph-based and transformer-based models.

Own analytics for the feed.

Design and analyze ranking experiments.

Architect scalable ML systems.

Develop graph-based and transformer models.

Own and analyze Patreon's feed metrics.

Design ranking experiments across multiple surfaces.

Own the DocV forensic engine roadmap.

Scale DocV adoption across multiple sectors.

Scale user growth and retention using ML.

Collaborate with marketing and product teams.

Design marketing experiments across channels.

Optimize key marketing metrics like CAC and ROAS.

Define and execute data science strategy.

Lead AI/ML initiatives in healthcare/insurance.

Create a vision and strategy for Trust & Safety products.

Lead cross-functional teams for execution and launch.

Build and lead high-performing engineering teams

Define and execute on technical strategies for ML pipelines

Architect scalable training systems for STT/TTS

Build data prep pipelines and evaluation tooling

Hiring a remote Engineering Manager specializing in AI

Full-time position available

Build and ship AI Physics capabilities

Turn customer simulation data into AI-ready pipelines

Lead data science projects and deliver predictive models to drive revenue

Improve understanding of customer value and behaviors

Manage full-cycle technical recruiting for software, AI, ML, and data roles.

Partner with engineering leaders to define recruitment needs and profiles.

Implementation of AI systems integrating with Rails backend

Building real-time data pipelines and model-serving layers

Design and build copilot experiences for faster case resolution.

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

Provide AI solutions for Dropbox products

Implement machine learning algorithms

Offering remote Data Science Internship

Position can be done anywhere in the United States

Develop real-time algorithms for safe self-driving trajectories

Integrate motion planning with ML for verifiable AI

Lead and manage a team focused on host insights and data products.

Collaborate with various teams to ship data products successfully.

Optimize content for LLM retrievability

Develop machine-parsable content blocks

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, develop, and test autonomy software

Collaborate with experts from various fields

Implement ML models for campaign optimization in DSP with CTV focus

Lead design of model orchestration layer for multi-objective optimization

Develop and implement advanced ML algorithms

Build intelligent software using LLMs

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

Build predictive and prescriptive models for HR strategies

Analyze large datasets to uncover insights

Contribute to cutting-edge ML/AI research applicable to Pinterest problems

Collect, analyze, and synthesize data findings to build data-driven models

Work on Payment Intelligence projects focused on recovery and fraud prevention.

Contribute to building GoCardless major revenue streams.

Lead global data science organization

Guide team in predictive analytics and privacy-safe insights

Improve map data quality and enhance route recommendations

Benchmark and measure service performance and accuracy

Lead end-to-end datasets, RL envs, and evals for coding agents.

Define data pipelines, validation, and review processes.

Own Core Product area: vision, roadmap, metrics

Ship high-quality clinical workflows with engineering/ML

Innovate in LLM and ML infrastructure

Define vision and strategy for enterprise-grade LLM Observability product

Provide analytical support for revenue forecasting and reporting

Develop and maintain dashboards in Looker and Salesforce

Design and build production ML systems for Reddit experiences.

Improve ranking, recommendations, search relevance, and signals.

Develop high-impact data science projects

Design, train, and validate statistical and ML models

Design and evaluate ML models for AI research

Collaborate with researchers and engineers

Partnering with People AI product lead

Shape use cases and run experiments

Collaborate with scientists and product managers

Architect secure and privacy-preserving AI solutions

Applying analytics, statistics, and machine learning for decision-making

Developing predictive models for pricing, underwriting, and claims

Lead and manage ML projects for credit risk modeling

Collaborate with various teams and stakeholders