Architect and build Voleon’s batch and realtime streaming platform that powers ML research and production trading systems. Requires 10+ years experience building scalable data infrastructure with Python, Go, and distributed systems.

Build production-grade AI infrastructure and agentic systems for a revenue automation platform. Own end-to-end features from ideation through reliable deployment for business-critical finance workflows.

Own model quality and performance for Cerebras inference by building AI agent-driven eval suites, automating benchmarking, and creating customer-specific tooling. Requires strong AI agent experience and tooling intuition.

Staff Data Scientist on the Pay team building and productionizing ML/LLM models to detect erroneous healthcare claims payments. Owns end-to-end data science work, leads high-impact initiatives, and sets technical direction.

Leads research in multimodal audio-visual avatar generation for conversational AI, focusing on diffusion models, long-video synthesis, and integrating verbal/non-verbal signals. Requires PhD, 2-3+ years in generative models, PyTorch expertise, and top-tier publications.

Builds core agent harness for Codex AI agents, enabling safe tool use, code execution, and long-horizon tasks in production. Designs systems for sandboxing, evaluation, observability, and performance optimization across ML workflows and infrastructure.

Build and ship machine-learning systems for enterprise search and AI assistants, including ranking, personalization, language-model adaptation, and question answering. The role requires 6+ years of experience, strong coding and analytical skills, and production model development experience.

Builds and maintains petabyte-scale data storage infrastructure for AI training workloads. Requires 4+ years in data infrastructure, Python, Kubernetes, and distributed processing frameworks like Spark or Beam.

Leads applied research and development of LLM-powered systems and autonomous AI agents for cloud security. The role requires 5+ years leading data science and machine learning projects, strong practical LLM expertise, cloud-native experience, and an advanced degree or equivalent experience.

Build and manage data pipelines and canonical datasets for experimentation platform, tracking product metrics like user growth and revenue. Collaborate with cross-functional teams at OpenAI; requires 3+ years data engineering experience with Spark, ETL tools, and distributed systems.

Builds and maintains reliable data pipelines and infrastructure using SQL, Python, Airflow, and Redshift to support analytics for Risk, Marketing, Finance stakeholders. Leads projects, reviews code, and scales platform as business grows.

Leads the design, build, and operation of AI and data platform for autonomy systems, managing training, simulation, data pipelines, MLOps, and deployment across on-premise, cloud, and edge environments. Requires deep expertise in scalable ML infrastructure and compute strategy.

Provides expert advisory on AI model behavior in finance, legal, or medical domains, collaborates on research tasks and publications, and engages in executive sales and GTM activities. Requires 5+ years top-tier experience and advanced degree (PhD/Masters/MD/JD).

Staff Data Analyst drives risk data strategy at Stripe, defining metrics, pipelines, and experimentation frameworks while partnering cross-functionally. Requires 10+ years experience, SQL/Python expertise, and mentoring skills.

Research Engineer builds ML infrastructure and agentic systems to accelerate scientific discovery in biology, neuroscience, and more. Requires 2+ years experience with Python, PyTorch/JAX/TF, cloud resources, and deep learning for LLM/agent research at Ai2.

Enriches supply chain intelligence platform data with industry insights, Chinese market knowledge, and risk information by curating company profiles, tracing ownership, and analyzing documents in English and Mandarin. Requires 2+ years in investigations or due diligence, fluency in Mandarin, and strong analytical skills.

Leads evolution of OpenAI's core experimentation platform, driving statistical strategy, designing methodologies, and building scalable Python/Spark pipelines to ensure reliable, trustworthy experiments at massive scale. Requires deep stats expertise, causal inference, and production experimentation experience.

Leads architecture and hands-on development for Rippling’s AI platform, building scalable agent infrastructure and self-correcting distributed systems. The role requires 8+ years of software engineering experience, strong technical leadership, and expertise in large-scale platform engineering.

This internship focuses on designing, training, and deploying large-scale machine learning models, exploring learning strategies, and partnering with product teams. Candidates should be enrolled students with Python and ML framework proficiency, distributed training experience, and familiarity with Transformer-based models.

Designs, builds, and maintains LLM-based AI systems, data pipelines, and automation tools to transform business processes. Requires 6+ years software engineering with 2+ years AI/LLM production experience, strong Python, and data engineering skills.

Build and manage data pipelines for people analytics and internal products like OpenHouse at OpenAI's People Innovation Labs. Collaborate with analytics and engineering teams using Databricks, Spark, and ETL tools; requires 3+ years data engineering experience.

Partners with researchers to productionize ML models for quantitative trading, builds data pipelines and infrastructure, and leads projects requiring strong Python, math, and ML systems expertise.

ML intern on the Machine Learning team developing and shipping production ML models and pipelines. Requires current enrollment in an M.Sc. or Ph.D. program and strong Python/PyTorch backend skills.

Builds and maintains ML training and inference infrastructure, scales distributed workloads across GPU clusters, and develops tooling for observability and fast iteration. Requires strong Python, systems engineering, Kubernetes, and distributed training experience.

Build and scale distributed pipelines that ingest, curate, filter, and prepare large-scale video and multimodal datasets for model training. The role requires Python, distributed processing, orchestration, containers, cloud infrastructure, and experience with VLM-based captioning or data-quality workflows.

Conducts foundational and post-training research for large-scale video generation models while building scalable multimodal data pipelines. The role requires hands-on experience with distributed ML systems, distillation, reward modeling, preference-based fine-tuning, and Python-based deep learning frameworks.

As a Senior AI Engineer, you will develop and scale AI agent and chat capabilities, build infrastructure for real-time AI interactions, and prototype new AI applications. This role involves significant impact on product development within a cross-functional team.

Leads client analytics team delivering media measurement, performance insights, and optimization recommendations for healthcare advertising campaigns. Requires 8+ years in digital media analytics, 4+ years managing analysts, and expertise in SQL, Python, Tableau.

Builds, scales, and operates production-grade ML systems for real-time personalization on Attentive's platform. Requires 6+ years experience with Python, PyTorch/TensorFlow, and scalable ML pipelines in a fast-paced environment.

Build and own the software infrastructure supporting large-scale tabular model research, from experimentation through production. The role requires 5+ years of software engineering experience, expert Python and PyTorch skills, strong architecture expertise, and familiarity with modern ML tooling and cloud infrastructure.

Develops and deploys ML models for credit underwriting in regulated banking, owning full stack from data curation to production decisioning. Leads MLOps initiatives and improves policies using advanced techniques for underserved segments. Requires 8+ YOE in ML production and technical degree.

DeepLearning.AI is seeking an AI Engineer to join their Learning Experience Lab. This role involves developing new AI products and features for their education platform, leveraging expertise in software development and machine learning, and building full-stack applications using GenAI tools.

Leads team developing and deploying a unified camera-first perception model for self-driving systems across diverse vehicles, geographies, and conditions. Hands-on with ML architecture, training, evaluation, embedded optimization, and customer requirements. Requires 5+ years ML perception experience and 2+ years team leadership.

Conducts cutting-edge research on AI models including LLMs, embedding models, and rerankers for information retrieval and agent paradigms. Requires PhD in CS or related field with strong ML, DL, and NLP background.

Builds AI infrastructure, frameworks, and agentic systems powering company products. Partners with teams to deploy high-impact AI use cases; requires 2+ years AI/ML experience, LLMs proficiency, and full-stack skills.

Builds and optimizes ML research infrastructure, deploys models to production for market-making strategies, and mentors engineers. Requires 5+ years backend experience, Python proficiency, and ML frameworks like PyTorch/Jax.

Leads and scales machine learning organization at fintech company, defining ML roadmap, productionizing models at scale, and collaborating cross-functionally. Requires 12+ years engineering experience, 7+ years leadership, MS/PhD, deep ML expertise, Python/SQL proficiency.

Builds and manages data pipelines using dbt, SQL, and Python to create scalable analytics infrastructure. Develops dashboards and self-serve tools for company-wide metrics, partnering with Engineering, Product, and GTM teams. Requires 5+ years experience.

Builds AI prototypes and solutions using Celonis Process Intelligence platform for strategic customers, focusing on generative AI, agentic systems, and proof-of-value projects to drive ROI and adoption. Requires 7+ years in technical pre-sales, Python/ML expertise, and business process knowledge.

Build and operate production machine learning systems that optimize Spotify messaging across channels and user journeys. The role emphasizes ranking, experimentation, reinforcement learning, long-term optimization, and collaboration across product and engineering teams.

Designs and leads production data pipelines integrating EHR clinical data from Epic Cerner Athenahealth via FHIR HL7 CCDA enforcing healthcare standards for low-latency insights. Builds AWS cloud infrastructure ETL workflows with Python Docker Kubernetes for ML enablement and HIPAA compliance requiring 5+ years healthcare data engineering experience.

Analyzes GTM metrics like pipeline health, quota attainment, and sales performance for a generative AI company. Partners with sales leadership using SQL, Python, dbt, and Salesforce to build analytics frameworks and data products. Requires 5+ years experience, including 3+ in sales analytics.

Builds retrieval stack and search subagents for Databricks AI agents, handling query understanding, hybrid retrieval across structured/unstructured enterprise data, and evaluation. Requires 10+ years in production IR/RAG systems and agentic workflows.

Builds and scales ML/DL infrastructure including data pipelines, annotation workflows, training, deployment, and monitoring for autonomous drone systems. Requires hands-on experience in data engineering, cloud ML platforms, containerization, and MLOps.

Build and improve core agentic capabilities (memory, context, multi-step tool use) and evaluation frameworks (LLM-as-judge) for Spotify's Talk to Spotify conversational AI. Requires 5+ years production ML experience, rigorous evaluation skills, and comfort with rapid iteration on real user data.

Designs new information architectures for LLMs to interact with external data sources, implements finetuning/RL training, builds evaluation sets, and develops agentic search capabilities. Requires strong Python/ML skills and LLM experience.

Leads Scientific Data Engineering team to build data pipelines, schemas, and parsers for pre-clinical lab data using Python/SQL/AI. Architects solutions, mentors juniors, and delivers customer-focused data products with dashboards in React/Streamlit. Requires 8+ years experience.

Leads architecture of scalable ML platforms for generative AI across text, image, audio, and video. Drives company-level strategy, mentors engineers, and builds large-scale systems requiring 12+ years experience in ML infrastructure.

Designs and authors context, procedures, skills, and system prompts for AI agents performing autonomous accounting tasks. Ensures consistency, monitors performance, and shapes future capabilities through precise language and systems thinking.

Builds scalable data infrastructure for ML training and evaluation in autonomous driving, including pipelines for logs, annotation tools, dashboards, and monitoring systems. Requires Python proficiency, 1+ years experience with large-scale data systems, and CS/EE bachelor's degree.