Predoctoral Young Investigator role on the AllenNLP team at Ai2, collaborating on open language models and NLP research. Ideal for recent bachelor's/master's graduates preparing for PhD programs, involving mentorship, cutting-edge research, and co-authoring papers.

Senior Data Scientist building and improving production LLM agents, workflows, and internal AI applications for Rippling's GTM teams (Sales, RevOps, Customer Success). Combines applied AI development, full-stack engineering, data pipelines, ML experimentation, and evaluation infrastructure.

Senior Application Engineer building and deploying AI Agents with Salesforce Agentforce, intelligent automations, and custom Salesforce applications. Requires 5+ years experience, specific Salesforce certifications (Platform Developer I/II, Advanced Admin, Agentforce Specialist), strong coding and DevOps skills, and mentoring ability.

Staff Data Scientist in Pinterest's CFO organization owning end-to-end forecasting tooling (data pipelines to UI), driving AI/LLM adoption for Finance & BizOps teams, delivering analytics, and advising executives on AI strategy. Requires 8+ years experience, strong forecasting, full-stack tool-building, and AI foresight skills.

Build scalable financial data pipelines, backend services, and data models supporting Spotify’s accounting and reconciliation systems. The role requires 3+ years of backend or data-intensive application experience with Java or Scala and distributed data processing technologies.

Data Analyst in Revenue Operations responsible for building revenue reporting, predictive models in BigQuery ML, Tableau dashboards, and data quality processes to drive sales, go-to-market, and operational decisions. Requires 2-5 years analytical experience, strong SQL, and CRM familiarity.

Lead internal AI automation initiatives by embedding with business teams to map workflows, independently build and deploy Claude-powered agents and tools, measure impact, and enable non-technical staff to create their own automations. Requires 2+ years hands-on Claude/LLM agent building experience in a scrappy, self-directed manner.

Research Scientist advancing generative audio models (diffusion/flow matching) for music, focusing on vocal synthesis, post-training alignment (DPO/RLHF), or audio editing. Requires PhD, top publications, and PyTorch expertise to turn research into artist-first Spotify products.

Senior Data Engineer building and scaling Checkr's centralized People Data platform and large-scale batch/streaming pipelines that power identity and people records for all products. Requires 5+ years experience with Python, PySpark, SQL, Spark, Kafka and AWS data services; leads execution, mentors, and partners with cross-functional teams.

Build and deploy production GenAI/LLM applications and intelligent agents to automate workflows across Procurement, Supply Chain, Legal, Finance, HR, and Marketing. Requires 5+ years engineering experience including 2+ years production LLMs, Python, LangChain/LlamaIndex, and cloud AI/vector DB tools.

Senior Applied AI Engineer building the core intelligence layer for Roger, an AI platform for home health clinicians. Responsibilities include training/fine-tuning LLMs on proprietary clinical data, building rigorous eval and monitoring systems, and shipping reliable agentic LLM workflows that improve patient care.

Develop and integrate real-time AI/ML perception algorithms and sensor fusion software for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors, ML deployment, and Linux/Docker; US citizenship and security clearance eligibility mandatory.

Senior AI Builder responsible for designing and shipping production AI agents, agentic workflows, evaluation harnesses, and reusable AI tooling that transform EarnIn's product development lifecycle. Requires 4+ years software engineering experience with strong LLM/agent expertise.

Principal engineer on OpenAI's Codex Cyber team building AI-powered security products for trusted defenders. Define roadmaps, shape model training and safeguards, build evaluations for cyber capabilities and risks, and translate frontier research into production tools while collaborating across product, research, safety, and external partners.

Senior ML Engineer optimizing and productionizing LLMs and other models on Cloudflare's global serverless inference platform. Focus on inference performance, benchmarking, evaluation, and deployment at scale across heterogeneous GPUs and accelerators.

Senior Data Engineer building scalable data pipelines, infrastructure, and architecture on AWS using Spark, Metaflow, and orchestration tools. Requires 5+ years data engineering experience with big data technologies; ML/healthcare background is a plus.

Actuarial Analyst assisting in new product development, rating models, and profitability reviews for homeowners and auto insurance using SQL, Python, and actuarial methods. Requires 2-4 years pricing experience and progress toward ACAS/FCAS.

Build and run evaluations to measure Claude's capabilities, safety, and performance. Design metrics, implement scalable distributed eval infrastructure and dashboards, debug training runs, and partner with researchers to characterize and improve AI systems.

Build and deploy production machine learning systems across pricing, marketplace optimization, fraud detection, and agentic AI for Lyft Business. The role requires end-to-end ML ownership, experience with generative AI and LLM ecosystems, and the ability to independently scope high-impact projects.

Build and own the core AI platform powering an AI-native trading copilot. Develop high-performance Rust backend for streaming, tool execution, and safe trading actions; design robust APIs with observability and security. Requires 8+ years systems programming experience.

Own reliability and quality for an AI copilot in a trading platform. Design evaluation systems, benchmarks, quality gates, model improvement loops, and AI monitoring for correctness, safety, and performance in market analysis and trading workflows. Requires 8+ years production software experience and strong ML eval expertise.

Build high-performance Rust backend and core AI platform powering an AI-native trading copilot with streaming, low-latency tools, safe trading actions, and robust APIs. Requires 8+ years experience in systems programming, production services, and architecture.

Leads marketing analytics strategy and architecture, building predictive models, data warehouse foundations, BI frameworks, and AI-powered automation to improve demand generation, conversion, and retention. Requires 8+ years of analytics, GTM strategy, or data science experience plus hands-on expertise in SQL, Python, BigQuery, agentic AI, and executive communication.

Senior Data Analyst partnering with People/HR teams to transform organizational data into actionable insights. Conduct deep-dive analyses on engagement, retention and productivity; build dashboards and data repositories; requires advanced SQL, Python/R, and Tableau.

Senior engineer owning Python connectors and AI/ML integrations that connect ClickHouse to RAG, vector search, feature-store, and LLM application workflows. Requires 7+ years of software development experience and hands-on Data Scientist or ML Engineer experience.

Build scalable data pipelines, cloud-native infrastructure, and SQL intelligence systems for AI-powered data operations. The role requires 3–5 years of data engineering experience, strong Python and SQL skills, and expertise in query optimization, SQL parsing, and data pipelines.

Own the research-to-production pipeline at Deepgram, turning experimental speech ML models into reliable, scalable production services. Partner with researchers on robust workflows, automated release gates, inference optimization, and feedback loops across hybrid GPU infrastructure.

Backend Engineer building and optimizing Deepgram's core inference services for speech processing, including networking, audio transcoding, latency/memory optimization, and distributed compute orchestration. Requires 3+ years experience with Rust (or C/C++) and Python.

Build an end-to-end analytics and business intelligence Data Cloud platform at Rippling, replacing customer data lakes, warehouses, and pipelines with integrated ingestion, transformation, lineage, catalogs, and visualization. Develop large-scale data systems using Python, Trino, Iceberg and Temporal; explore ML/LLMs for automated insights.

Lead and grow a team of Applied Scientists and Data Scientists to define the data science vision, develop ML and experimentation solutions, and influence product strategy and business growth through deep analysis and cross-functional partnerships. Requires 8+ years in data science/ML, 3+ years managing teams, advanced degree, and expertise in causal inference and Python/SQL.

Lead technical vision for Pinterest's Ads Conversion Core Modeling team. Build state-of-the-art large-scale DNN models for user action prediction, mine multi-modal signals for intent understanding, and mentor engineers while leveraging AI tools to accelerate development.

Build and operate a hosted AI training platform spanning Kubernetes GPU orchestration, Python control-plane services, developer-facing APIs, and monitoring interfaces. The role requires depth across AI infrastructure, distributed training, cloud operations, and full-stack platform development.

Build and optimize large-scale LLM inference and serving infrastructure across cloud GPU fleets, integrating inference systems with RL training. Requires 3+ years operating ML/LLM services, strong distributed systems and GPU expertise, and hands-on experience with modern inference frameworks.

Build and optimize infrastructure for frontier-scale reinforcement learning and distributed model training, including kernels, runtimes, parallelism, and asynchronous rollouts. The role requires strong AI/ML systems experience, PyTorch expertise, and GPU performance optimization skills.

Conducts frontier research and builds scalable synthetic-data and distributed reinforcement-learning infrastructure for large AI models. Requires strong AI/ML engineering experience, distributed inference expertise with tools such as vLLM or SGLang, and MLOps knowledge.

Research Engineer building and optimizing distributed infrastructure for frontier-scale model training and reinforcement learning. The role requires strong AI systems experience, PyTorch and distributed-training expertise, GPU performance optimization, and familiarity with parallelism and large-scale clusters.

Interns will build open, distributed AI systems and infrastructure across areas such as frontier AI, distributed computing, systems, and cryptography. The role is suited to exceptional builders with substantial project or open-source experience who learn quickly and execute well.

Build the company’s compute intelligence platform, including warehouse infrastructure, production pipelines, data models, dashboards, and AI-accessible analytics. The role requires 3+ years of data-focused engineering experience, strong Python and SQL skills, and cross-functional business judgment.

Develops reinforcement learning, post-training, and agent systems that advance model reasoning and support real-world workflows. The role combines applied research with scalable training infrastructure, evaluations, and production deployment.

Customer-facing applied research role focused on building AI agents, evaluation systems, and post-training workflows for frontier models. The role combines reinforcement learning, distributed infrastructure, applied data, and close collaboration with customers and research teams.

Forward Deployed Scientist partnering with biotech/pharma customers to build biomedical environments and evaluation pipelines for AI agents. Requires PhD, industry computational biology experience, strong engineering skills, and deep expertise in drug discovery, preclinical, or clinical domains.

Build and operate AI-assisted platform infrastructure, developer tooling, and production workflows across Kubernetes, AWS, GitOps, observability, and FinOps. Requires 4+ years of platform, infrastructure, or backend engineering experience and hands-on experience with MCP servers and agentic AI systems.

Build and productionize vision-language models for document understanding at LlamaIndex. Focus on training, fine-tuning, synthetic data, benchmarking, and turning research prototypes into accurate, low-latency production systems for real-world PDFs, tables, and enterprise docs. Requires 3+ years ML engineering/applied research experience with strong PyTorch skills.

Research Engineer/Scientist shaping personalities and behaviors of personalized AI models like ChatGPT using RL, reward modeling, synthetic data, and post-training methods. Requires strong ML engineering and research experience with large models.

Senior technical leader building, productionizing and operating large-scale ML models and Agentic AI systems to fight fraud, ensure safety and build trust across Airbnb's platform. Requires 12+ years applied ML experience and deep expertise in LLMs/GenAI.

Lead data strategy, reporting, and systems configuration for Mercury's Customer Support organization. Own unified analytics, data hygiene, AI automation insights, and dashboards using Zendesk, SQL, and BI tools to drive CS performance, resourcing, and strategy decisions. Requires 5-8 years in data/BI/systems analysis, preferably in support/ops.

Data Engineering Manager to own market data platforms and analytical data systems at a proprietary trading firm. Hands-on role managing a small team while writing production code, leading KDB+/Q time-series architecture, building low-latency pipelines, and evolving the platform for AI-driven consumers. Requires 7+ years data engineering experience with strong KDB+/Q and Python background.

Data Scientist partnering with infrastructure engineering teams at Pinterest to build metrics, measurement systems, and analytical frameworks that improve reliability, performance, cost efficiency and data quality of core technical systems. Requires 4+ years experience with SQL, experimentation, and production data pipelines.

Lead and grow a Data Governance team while owning foundational buildout, ongoing programs, the Atlan data catalog, certification standards, and AI-driven governance initiatives. Requires 8+ years data experience (including ownership of governance programs), 3+ years people management, SQL/dbt fluency, and strong stakeholder influence skills.

Senior Social Measurement Lead responsible for defining Airbnb's global social media measurement strategy, frameworks, KPIs, and experimentation. Translate complex cross-platform data and AI-driven insights into strategic narratives and actionable recommendations that connect social performance to business outcomes for marketing, comms, and leadership teams.