Senior AI Engineer builds, trains, deploys, and operates character AI agents at scale, managing LLM/SLM pipelines, social platform integrations, and feedback loops. Requires 5+ years in backend/ML engineering with production AI deployment experience.

Research Engineer on the Code RL team advancing AI models' ability to write efficient code for accelerators. Requires deep expertise in accelerators like CUDA/ROCm and ML frameworks like JAX/PyTorch, plus experience across kernels, model code, and distributed systems.

Develops data generation, post-training, and evaluation methods to improve the safety, fairness, robustness, and security of large language models that can take actions in the world. The role requires strong statistics and software engineering skills, distributed LLM training experience, and expertise in data collection and ML evaluation.

Develops and trains advanced AI models to tackle critical challenges in truth-seeking AI systems. Requires deep passion for building useful models and power user experience with AI; prior large-scale training experience preferred.

Build distributed data storage and processing systems for big data workloads including Apache Spark, Delta Lake, and performance optimization. Requires 5+ years in Java/Scala/C++, strong algorithms knowledge, and distributed systems experience.

Develops and deploys production machine learning models for underwriting small business loans, focusing on risk assessment, pricing optimization, and automated systems. Requires strong statistical reasoning, ML expertise, engineering skills, and business acumen.

Staff Data Scientist owns company-wide data strategy, experimentation framework, metric forecasting, and ML modeling at a social AI product studio. Requires 7+ years experience, deep SQL/Python fluency, and proactive product partnership across millions of users.

Designs methods, systems, and experiments for AI controls and monitoring to ensure alignment in high-stakes environments, including real-time tracking, fail-safes, and red-team simulations. Requires 3+ years ML experience, published research in generative AI, and strong prototyping skills.

Research Scientist focuses on agent robustness, developing tests, exploits, and mitigations for safe AI agents. Requires 3+ years ML experience, RL techniques like RLHF/DPO, and published research in generative AI.

Develops multimodal AI models focused on image, video, and audio for high-fidelity generation, understanding, and agentic systems. Drives data curation, training, evaluation, and production integration of cutting-edge models.

Builds and manages platforms for AI model lifecycles, focusing on fine-tuning, training pipelines, and reinforcement learning for LLMs. Requires 8+ years in AI, advanced degree, and hands-on experience with generative AI techniques.

Builds and maintains platforms for fine-tuning, training, and managing LLMs including reinforcement learning pipelines and multi-node orchestration. Requires 4+ years in AI, hands-on LLM experience, and advanced degree in CS/Engineering.

Designs and maintains near real-time data streaming platforms, data pipelines, and event-driven architectures. Requires advanced Python, SQL expertise, and 3+ years in software engineering focused on data systems.

As Director, Data Science, you will lead and mentor data scientists, guiding multiple data science projects involving statistical modeling, experiment design, and classifier implementation. You will drive product and business impact by fostering a data-driven culture and developing strategies for actionable insights.

Lead data science efforts in monetization by designing experiments, building models for ad pricing and supply, and analyzing trade-offs in ads ecosystem metrics. Requires 5+ years experience, stats expertise, and proficiency in Python/SQL.

Builds and scales internal data platform by designing data models, pipelines, and analytics infrastructure to transform raw product/business data into reliable datasets for company-wide decision-making. Partners with stakeholders across Product, Engineering, Finance, Marketing, and Sales.

Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance optimization, and distributed training pipelines. Requires 8+ years in ML infrastructure with expertise in Python, PyTorch, Kubernetes, Ray, and cloud tools.

Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance tuning, and distributed training optimization. Requires 5+ years in ML infrastructure with expertise in PyTorch, Kubernetes, Ray, and cloud tools.

Conducts research on post-training methodologies and performant inference for AI models, balancing pure research with applied work for production systems. Requires PhD in ML with top publications and ability to design rigorous experiments at scale.

Deploys state-of-the-art ML models and fine-tunes LLMs in production to enhance platform integrity and safety against adversarial threats. Requires Master's/PhD, deep learning expertise, PyTorch/TensorFlow proficiency.

Staff ML Engineer owns foundational model research and end-to-end quality improvements for clinical AI products like coding models, adaptive scribing, and chart understanding. Requires 5+ years ML experience with deep RL/deep learning expertise and production shipping track record.

Develop voice AI models for natural, low-latency spoken interactions on the Grok team. Handle data pipelines, model training with JAX/PyTorch, evaluations, and product integrations. Requires Python expertise, large-scale data processing, and distributed systems experience.

Senior Data Scientist optimizes product performance and supports new initiatives through data analysis, working with cross-functional teams to deliver actionable insights using SQL, Python, and analytics tools.

Staff Data Scientist owns advertising measurement, identity resolution, and signal quality using advanced stats and ML. Requires advanced degree, 6-10+ years experience, ads expertise, Python/R/SQL proficiency.

Conducts research on efficient AI systems focusing on real-time adaptation, model efficiency, and cross-stack optimization. Requires PhD or equivalent, 4-5+ years industry experience, and deep ML expertise including PyTorch/JAX and optimization techniques.

Data Analyst II enhances operational tracking and reporting for Sales, Operations, Product, and Finance teams using SQL, Python, and BI tools like Looker and Hex. Drives insights through dashboards, ad-hoc analyses, and self-service tools in fintech. Requires 3+ years experience.

Data Analyst II enhances operational tracking and reporting for Sales, Operations, Product, and Finance teams using SQL, Python, and BI tools like Looker and Hex. Drives insights through dashboards, ad-hoc analyses, and self-service tools in a hybrid fintech role.

Builds scalable ML training systems and infrastructure for speech AI models (STT/TTS), prototypes novel ideas with researchers, and creates internal tools for cross-functional teams. Requires strong ML research pipeline experience, especially in speech domains, plus orchestration tools expertise.

Senior ML Engineer builds scalable ETL pipelines, develops ML infrastructure for training/evaluation/inference on cloud/edge, and integrates CV models for analyzing farm images from tractor cameras. Requires 5+ years experience with Python, PyTorch/TensorFlow, data engineering tools, and cloud platforms.

Lead development of Context Hub, an open-source CLI for AI agents to access up-to-date API docs. Own technical direction, build infrastructure for intelligent retrieval and community features, requiring 3+ years experience, TypeScript/Node.js proficiency, and strong LLM/AI agent knowledge.

Forward Deployed Engineer embeds with customer teams to build and own production-grade AI-powered coding workflows using Cursor, from discovery to iteration and integration back into the core product. Requires strong Python/TS skills, end-to-end ownership, and production reliability experience.

Conduct research and build foundational ML models for structured and tabular data, combining statistical learning theory, probabilistic modeling, and large-scale systems. Requires a PhD and strong experience in tabular/relational ML.

Leads Canada demand generation strategy and programs across ABM, events, webinars, content, and sales activations to grow pipeline. Requires 6+ years of B2B SaaS demand generation experience, strong analytical and cross-functional skills, and ideally business-level Québécois French.

Build and maintain fraud detection models and financial risk products through full ML lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), PhD preferred, strong end-to-end DS/ML skills, and domain interest in fraud/identity.

Build and maintain fraud detection models and financial risk products through full data science lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), advanced ML/stats skills, and PhD preferred.

Build and maintain fraud detection ML models and financial risk products with end-to-end ownership. Requires 4+ years experience (or 6+ with Masters), advanced degree, strong ML/stats skills, production coding, and domain interest in fraud/identity.

Build and own scalable streaming, storage, and distributed data-platform systems powering a unified telematics API. The role requires strong Java or JVM-language experience, production platform ownership, and expertise in distributed systems and large-scale batch or streaming data.

The Model Developer owns end-to-end delivery of production-grade Python and predictive models, partnering with customer actuarial teams to solve complex modelling problems. The role also contributes to engineering standards, testing, code review, and mentoring junior developers.

Build core AI platform infrastructure at Harvey including model routing, context management, evaluation frameworks, and shared abstractions for agentic AI products. Requires 5+ years backend experience with 1+ year in AI/ML, production multi-model systems, and strong platform-building skills.

Senior Data Scientist builds forecasting models, performs root cause analysis, analyzes cloud infrastructure usage, and champions data quality to support AI infrastructure operations and strategic decisions. Requires strong SQL/Python skills, analytical methods, and data visualization proficiency.

Develops RLHF and post-training methods for personalized, multimodal AI systems on consumer devices, focusing on reward modeling, preference learning, long-horizon evaluation, and alignment with user values. Requires strong ML research background in RLHF and related areas.

Builds macroeconomic models and scenario-based forecasting tools for transformative AI impacts on growth, labor markets, and income distribution. Requires PhD in Economics, expertise in macro modeling, computational methods, and grounding in real-world AI usage data.

Build scalable data infrastructure and analytics pipelines to drive business growth, user personalization, and strategic decisions in sleep fitness technology. Requires 6+ years experience with SQL, Python, DBT, Snowflake, and data architecture expertise.

Leads growth data science by building advanced demand forecasting, marketing spend optimization, experimentation frameworks, and attribution models to drive business growth and operational efficiency. Requires 5+ years experience in forecasting, experimentation, Python/R/SQL expertise.

Builds and maintains data pipelines and privacy-preserving infrastructure for AI economic impact research. Collaborates with researchers and economists using Python, cloud platforms, and LLMs to support scalable economic analysis.

Builds infrastructure and tools for Ramp's Analytics and Machine Learning Platforms, supporting data science lifecycle. Partners with AI and ML engineers; requires Python, workflow orchestrators, cloud platforms, and SQL expertise.

Leads analytics strategy, builds data pipelines and dashboards, owns metrics and data quality for business decisions. Requires 5+ years BI experience, expert SQL, data warehouse and BI tool proficiency.

Develops machine-learning models and systematic trading strategies by analyzing large financial datasets, researching alpha signals, and backtesting hypotheses. Requires a STEM degree, 3+ years in systematic trading, Python proficiency, and strong English communication skills.

Part-time AI Trainer annotates mortgage conversation data, provides feedback on AI responses, and tests system quality for mortgage servicing calls. Requires 5+ years mortgage customer service experience and industry knowledge.

Measures AI's economic impacts through the Anthropic Economic Index using econometrics, ML, and novel data. Conducts empirical research on labor markets, productivity, inequality; requires PhD in Economics and strong empirical track record.