Build, operate, and improve production LLM-backed agent systems while establishing rigorous evaluation, testing, monitoring, and code-review practices. This individual contributor role also coaches teammates and raises engineering standards across the AI and Data team.

Build and operate low-latency machine learning systems for ad ranking, relevance, and optimization, including feature pipelines, experimentation, evaluation, and production inference. The role requires 6+ years of software engineering experience, strong Python skills, AWS experience, and practical LLM application experience.

Senior Data Analyst partnering with Customer Success and Operations to improve retention, permit turnaround, and organizational scalability. The role requires strong SQL, BI modeling, data warehousing, dbt, and the ability to translate ambiguous business questions into actionable dashboards and metrics.

Build and operate machine learning models for sales roleplay, scoring, and coaching products, owning the lifecycle from fine-tuning and evaluation through production and on-device deployment. The role emphasizes open-source models, latency and privacy optimization, and rigorous model testing.

Build and operate Jump’s Snowflake and dbt data platform, including ELT pipelines, governance, testing, monitoring, and analytics models. The role requires 6+ years of data engineering experience, production-grade SQL and Snowflake expertise, deep dbt knowledge, and strong Python and software engineering practices.

Research Scientist developing and evaluating health-focused AI models, large language models, and agentic systems for clinical applications. The role requires advanced research experience, strong coding skills, healthcare or clinical-data experience, and top-tier AI/ML publications.

Conduct an end-to-end research project on speech and audio machine learning, training and evaluating models on large-scale telephony data and potentially advancing results toward production. Candidates should be pursuing a master’s or PhD or have equivalent research experience, with hands-on audio modeling and PyTorch expertise.

Leads RentSpree’s unified Data organization across engineering, science, analytics, and strategy, while shaping ML products, governance, experimentation, and self-service analytics. Requires 7+ years in data, senior people leadership, production ML experience, and strong SQL and modern data-stack fluency.

The Data Scientist will use experimentation, statistical analysis, and large-scale data to improve Lyft’s airport marketplace, identify growth opportunities, and guide product decisions. The role requires 4–6+ years of data science or analytics experience, strong SQL and Python skills, and effective cross-functional communication.

Build and ship backend and infrastructure capabilities across AI inference, model serving, and LLM fine-tuning for EMEA-specific needs. The role requires strong software engineering, Python and systems-language skills, production ownership, and first-principles problem solving.

Build and operate trusted, scalable data-platform capabilities spanning warehousing, orchestration, governance, BI, and developer tooling. The role requires senior software engineering experience, strong Python skills, modern data-platform expertise, and Terraform proficiency.

Staff Marketing Data Analyst serving as a strategic analytics partner to Marketing, leading acquisition measurement, attribution, experimentation, and ROI analysis. Requires 7+ years of analytics experience, a quantitative master’s degree, advanced SQL, and Python proficiency.

Own the performance, availability, backup and recovery, upgrades, and observability of high-throughput PostgreSQL environments across on-premises infrastructure and Amazon RDS. The senior role requires production Patroni failover experience, deep PostgreSQL expertise, Linux fundamentals, software development proficiency, and strong documentation skills.

Research Engineer responsible for operating and improving large-scale production pretraining systems, from performance optimization and hardware debugging to experiments, observability, and launch incident response. Requires deep ML systems expertise and experience with LLM training, JAX, TPU, PyTorch, or distributed systems.

Senior Customer Insights Analyst serving as a strategic consultant to customers, using Fullstory data to deliver analyses, actionable recommendations, enablement, and data-maturity guidance. Requires consulting experience, strong presentation skills, and knowledge of marketing, SaaS, and eCommerce.

Senior Data Scientist supporting Plaid’s Credit product area, translating ambiguous product questions into analytics, metrics, experiments, and strategic insights. The role partners closely with product and engineering teams and requires 5+ years of data science or related analytics experience.

Analyzes complex healthcare supply-chain data using SQL and Python, builds trusted dashboards, and translates ambiguous business questions into actionable recommendations. Requires 3+ years of analytics experience, strong relational database skills, and clear communication with technical and non-technical stakeholders.

Senior operator responsible for scaling ads Trust & Safety operations through analytics, dashboards, capacity planning, data-quality mechanisms, and AI-assisted automation. Requires 8+ years of relevant experience, strong SQL, and the ability to turn ambiguous cross-functional problems into operational decisions and scalable systems.

Build and operate reliable, production-grade data pipelines, warehouse infrastructure, and trusted datasets supporting company-wide analytics and AI initiatives. The role requires 3+ years of production data engineering experience, strong SQL and Python skills, and experience with Snowflake, dbt, cloud infrastructure, and orchestration.

Conducts hands-on mixed-method consumer research to test creative, concepts, messaging, and product experiences before launch. Requires 5+ years of market or advertising research experience, strong quantitative and qualitative skills, and the ability to turn findings into business and creative decisions.

Associate Data Scientist role for a 2027 college graduate, contributing to forecasting, matching, experimentation, and machine-learning systems. Requires quantitative academic training, Python and SQL proficiency, strong statistical foundations, and clear communication.

Leads large-scale advertising data ingestion, measurement, and agentic workflow systems, combining deep ad-tech expertise with production LLM experience. Requires 10+ years of engineering experience and technical and people leadership in complex enterprise environments.

Build and ship forecasting, promotion-effectiveness, and data-quality models using complex retail and CPG data. The role requires 5+ years of data science experience, strong statistical foundations, and fluency in Python and SQL.

Leads marketing analytics for global performance campaigns by developing measurement approaches, optimizing acquisition through data, and translating complex analyses into actionable marketing decisions. Requires a STEM bachelor’s degree, strong SQL and visualization skills, and experience with digital campaign data.

Build and own the data platform powering regulatory reporting for a federally regulated prediction-markets business. The role combines dbt and SQL engineering, automated validation, root-cause investigations, audit support, and direct collaboration with regulators and compliance.

Build and operate the data platform supporting automated regulatory reporting for a prediction markets business. The role combines SQL and dbt development, end-to-end data investigation, automated validation, and cross-functional ownership under strict deadlines.

Operates and improves the infrastructure powering large-scale post-training and reinforcement learning runs, partnering with researchers to debug failures, improve reliability, and automate recovery. Requires 4+ years operating distributed production systems and strong Python, Go, or C++ skills.

Build customer-facing agentic AI experiences for loyalty programs, combining LLM workflows, product engineering, personalization, and safety controls. The role requires 6+ years of software engineering experience and production experience with AI or LLM-powered systems.

Staff Data Platform Engineer leading the architecture and development of financial data infrastructure for revenue reporting, billing, forecasting, and compliance. Requires 8+ years of data engineering or architecture experience, strong streaming and warehouse expertise, and the ability to mentor engineers and partner with Finance and Audit leaders.

Build the data infrastructure, processing pipelines, curation strategies, and tooling that power frontier AI model training. The role requires strong distributed-data engineering experience and the ability to measure how data quality affects model outcomes.

Build and operate distributed web-crawling systems that source, extract, evaluate, and prepare large-scale web data for frontier AI models. The role requires hands-on crawler or scraping experience and strong distributed-systems engineering skills.

Deploy and optimize frontier AI models for fast, reliable, real-time production serving at scale. The role requires production ML serving experience, GPU programming and inference optimization expertise, and the ability to diagnose bottlenecks across the serving stack.

Own the analytics foundation for a fintech business by building trusted dbt and Databricks data products, semantic metrics, dashboards, and quality standards. The role requires 7+ years of analytics engineering experience, expert SQL and dbt skills, and practical daily use of AI coding tools.

Senior Software Engineer building reliable connectors and high-volume data pipelines that move customer data into warehouses. The role requires strong Java, cloud, database, distributed-systems, and technical leadership experience.

Marketing Scientist supporting OpenAI Ads will design and scale rigorous advertising measurement programs, advise major advertisers, and translate campaign data into actionable performance improvements. The role requires 10+ years of measurement expertise, strong experimentation and econometric skills, and hands-on SQL, Python, or R experience.

Research Engineer designing post-training infrastructure and running controlled experiments to measure how datasets affect foundation-model behavior. Requires at least 2 years of ML or research engineering experience, strong Python, and hands-on experience with PyTorch, JAX, Ray, Slurm, and LLM post-training.

Research-focused engineer advancing agentic model capabilities across synthetic data, task environments, evaluations, training, and usability improvements. Requires strong Python engineering, deep learning framework experience, scalable distributed training skills, and scientific experimentation ability.

Research role focused on improving agentic coding capabilities through reinforcement-learning training, synthetic data, coding environments, reward design, and evaluations. Requires strong Python engineering, scalable distributed-training experience, and a bachelor’s degree or equivalent; research experience and a PhD are preferred.

Build and scale production data pipelines that transform raw healthcare and customer data into trusted canonical datasets powering ML models, dashboards, and product decisions. The role requires 6+ years of data engineering experience and strong Python, Spark SQL, and Airflow expertise.

Owns payment reconciliation and financial reporting workstreams, building SQL-based controls, dashboards, metrics, and automated solutions across card networks, banks, processors, and internal ledgers. Requires 5+ years of relevant experience, expert SQL, accounting knowledge, and strong stakeholder-management skills.

Leads the design, measurement, publication, and adoption of APEX benchmarks evaluating frontier models on economically valuable professional work. The role requires rigorous research judgment, strong coding and statistical skills, and excellent communication across technical, commercial, and research audiences.

Own analytics end to end for a business-critical function, building scalable data models, pipelines, dashboards, and strategic insights. The role requires 4–8 years of analytics experience, strong SQL and analytics engineering skills, and the ability to influence cross-functional decisions.

Leads ads fraud measurement, detection, and automated enforcement for Reddit Safety, translating behavioral analysis into production pipelines, models, rules, and governance. Requires advanced quantitative education, substantial data science experience, and expertise in fraud evaluation, machine learning, Python, and SQL.

Build and optimize foundational lakehouse infrastructure for AI, spanning metadata, transactions, table maintenance, storage layout, and query performance at massive scale. The role requires senior systems engineering experience with modern lakehouse technologies, columnar formats, cloud object storage, and systems-oriented programming languages.

Leads the Marketing Insights function, integrating behavioral data, research, cultural intelligence, and market signals to shape audience strategy, positioning, campaigns, and investment. Requires 8+ years of insights or related experience, executive influence, and a track record of building high-performing teams.

Build and deploy machine learning systems that apply economic theory, econometrics, and causal inference to marketplace problems. The role requires advanced training in economics, strong Python and data skills, and production ML experience for senior-level hires.

The Reliability Analyst builds configuration-aware reliability datasets, metrics, dashboards, and reporting for complex aircraft systems. The role analyzes failures and maintenance data, identifies fleet degraders, and supports corrective-action decisions across engineering, quality, and fleet-support teams.

Build and operate production ML infrastructure spanning training, deployment, serving, monitoring, data pipelines, and feedback-driven retraining. The role requires strong MLOps and DevOps experience, Python and SQL proficiency, and ownership of reliable cloud-based systems.

Own and scale Mark43’s production database infrastructure, focusing on MySQL administration, monitoring, performance, reliability, upgrades, and recovery. The role requires at least seven years of production database experience, cloud infrastructure expertise, and familiarity with Terraform.

Senior data scientist partnering with Growth Product, Engineering, and Applied AI to improve enterprise user adoption, engagement, retention, and expansion. The role requires 7+ years of quantitative experience, strong experimentation and causal inference skills, and proficiency in SQL plus Python or R.