Data Scientist builds and deploys ML models to combat fraud, collaborates with clients on risk solutions, and scales models to production. Requires 5+ years in data science, Python/SQL/Spark proficiency, and strong communication skills.
Designs and builds ML systems for real-time fraud detection, including data pipelines, model deployment, and backend services in Go/Python. Requires 5+ years software engineering with applied ML experience on large datasets.
Builds complex AI agent pipelines using LLMs, develops ML models with fine-tuning pipelines, and deploys AI infrastructure on cloud platforms. Requires 5+ years experience, expertise in AI/ML systems, and bachelor's degree or higher.
As a Perception Autonomy Engineer, you will develop, integrate, and maintain real-time sensor software solutions for autonomous vehicles. This involves designing and deploying AI/ML sensor algorithms, creating interfacing software for sensor control, and collaborating with cross-functional teams for seamless deployment and testing.
Builds and deploys language model-powered systems for cyber national security applications, including fine-tuning LLMs, RAG systems, and production inference. Requires 4+ years ML experience, Python/PyTorch proficiency, and LLM post-training expertise.
Builds and scales data pipelines for video AI datasets, owning end-to-end projects from sourcing to delivery with ML filters and dashboards. Requires strong Python skills, clean code practices, and customer communication.
Conducts advanced LLM research for post-training, roleplay, and real-time integration into an anime-style 3D adventure game AI companion. Requires deep LLM expertise, anime passion, and ability to build scalable infrastructure on a small onsite team.
Researches and develops motion generation models (text-to-motion, audio-to-motion, facial animation) for real-time AI anime companions in narrative-driven 3D games. Requires hands-on AI model training experience and anime passion; on-site in SF or Tokyo.
Analyzes product metrics, designs and runs A/B tests, builds dashboards, prototypes models, and evaluates LLM agents to improve matching, hiring, and revenue. Requires strong SQL/Python, stats, and 0-2 years experience.
Architects and leads development of scalable ML training infrastructure, including scheduling, storage, networking, and reinforcement learning systems. Requires proficiency in Go, Kubernetes expertise, distributed systems knowledge, and experience with cloud providers and ML workloads.
Develops market-neutral trading signals and machine learning models to predict financial asset movements using large datasets. Requires 2+ years in systematic trading, STEM degree, and strong Python skills.
Designs and implements AI solutions including ML models and LLMs to automate financial workflows and provide real-time insights in an accounting platform. Requires strong ML/DL/NLP expertise, Python, PyTorch/TensorFlow, and production deployment experience in a fast-paced startup.
Senior Data Scientist partners with Product and Engineering teams to build data models, ML frameworks, and analytics for feature roadmaps and customer insights. Requires MS/PhD, 8+ years experience, expert SQL/Python, and MPP database fluency.
Senior ML Engineer on Spotify's Supply Personalization squad, designing and implementing ML systems to optimize ad loads, user behavior analysis, and ad experiences using causal inference and large-scale experimentation. Requires strong applied ML, software engineering, data analysis expertise, and proficiency in Python/Java/Scala, TensorFlow/PyTorch, and data pipelines.
Designs and scales infrastructure for evaluating multimodal generative AI models, including pipelines, metrics, and integration into training loops. Requires 5+ years in ML evaluation systems, expertise in visual data, Python, and ML frameworks like PyTorch.
Builds and optimizes scalable ML inference infrastructure using Kubernetes and GPU resources to deploy production AI models with low latency. Collaborates with ML research and product teams on model serving, orchestration, and compute efficiency.
Develops AI applications and demos using Quadric's SDK, integrates products into AI/LLM frameworks, optimizes models for edge devices, and provides technical leadership and support to customers and developer community. Requires 5+ years with AI frameworks like PyTorch or TensorFlow, plus Python/C++ proficiency.
Builds and optimizes multimodal LLM-based AI agents for enterprise conversations, integrating with systems via APIs and automating high-stakes workflows. Requires 3+ years in AI engineering, Python/PyTorch proficiency, and experience with LLMs or vision models.
Builds, deploys, and optimizes enterprise-grade AI agents for high-stakes conversations, integrating with enterprise systems and fine-tuning LLMs. Requires 3+ years in AI engineering or NLP with Python, PyTorch/TensorFlow proficiency.
12-week fellowship for PhD/MSc STEM graduates to gain hands-on experience in AI engineering, product development, and research. Fellows develop/deploy AI agents using LLMs/RAG, optimize models, and work on enterprise projects with mentorship from AI leaders.
Builds foundational ML platform infrastructure including model serving pipelines, GPU scheduling systems, and CI/CD for large-scale multimodal AI models. Requires 5+ years in distributed systems with expertise in Python, Kubernetes, and AWS.
Develops and optimizes diffusion models and generative AI for fashion design software. Conducts research, implements techniques for design quality and controllability, and deploys to production. Requires Master's/PhD, 3+ years experience, PyTorch proficiency.
Build, scale, and maintain complex AI/NLP models for the Verneek AI platform, focusing on production deployment of large-scale systems. Requires 3+ years Python/PyTorch experience and BSc in CS; NLP expertise preferred.
Develops methods for AI agents to self-improve post-training through prompt optimization, continual learning from long-horizon tasks, hypothesis testing, and scalable experiments. Requires expertise in LLMs, agent frameworks, and impactful research track record.
Forward Deployed Engineer designs and deploys AI integrations and agentic workflows into customer enterprise systems, owning end-to-end production rollout. Requires 5+ years software engineering, Python proficiency, and LLM production experience.
Builds and improves AI agents and workflows for automating enterprise operations like IT, HR, and finance. Requires 4+ years software engineering with applied AI focus, full-stack skills in TypeScript/Node.js/React, and strong product sense.
Advances AI coding models through research, experimentation, and system optimization on the Codex team. Collaborates to improve code generation, reasoning, and performance for real-world deployment.
Build scalable voice interface features through ML prototyping, infrastructure development, and inference optimization. Requires Python fluency, LLM expertise, and startup experience.
Develops scalable voice interface features through prototyping, infrastructure building, and R&D. Requires PhD in ML or related field, top conference publications, Python/LLM fluency, and strong engineering skills.
Build and maintain core data models, pipelines, and reporting infrastructure using modern data stack tools to enable decision-making across product, ops, and GTM teams. Requires 3-6 years of production data/analytics engineering experience and expert SQL.
Develops and trains large-scale diffusion models for image/video generation, controllability modules like IPAdapters/ControlNets, and novel research techniques for production. Requires proven experience with image/video models at scale and deep learning frameworks.
Develops low-latency, high-throughput inference services for OCR and multimodal models, optimizing batching, kernels, and autoscaling while evaluating serving frameworks. Requires 3+ years in performance engineering or ML systems with strong Python and GPU experience.
Develops and fine-tunes specialized vision and language models for document understanding, including OCR, layout, tables, and charts. Requires 3+ years ML experience with PyTorch/JAX and strong engineering focus; onsite in San Francisco.
Develops and optimizes transformer-based vision-language models for physical security, owning full-cycle training, fine-tuning, and deployment optimization. Collaborates cross-functionally to integrate models into the platform using PyTorch/TensorFlow and advanced AI techniques.
Develops controllability, personalization, and productization for video foundation models using fine-tuning, RL, and evaluation techniques. Requires deep expertise in visual generative models, PyTorch, and product-focused research for creative workflows.
Develops state-of-the-art agentic AI systems for issue triage, debugging, and predictive analytics using Sentry's error datasets. Requires 4+ years experience (with MS/PhD) or 6+ (with Bachelor's), Python, PyTorch expertise, and production ML deployment skills.
Curates structured datasets on companies, people, and networks using investigative research in English and Chinese sources. Partners with engineering for data quality and supports customers on supply chain intelligence, requiring 4+ years in investigations or due diligence.
Builds AI systems for voice-first interfaces, audio intelligence pipelines, and real-world conversation analysis using Python/TypeScript and ML tools like PyTorch/OpenAI. Deploys production LLM systems with customer focus in NYC office.
Builds autonomous AI agents for workflows like email generation, prospect research, and meeting scheduling. Requires 2+ years shipping AI products with expertise in LLMs, RAG, agents, and production optimization.
Data Scientist shapes infrastructure scaling for OpenAI's AI models and products by building datasets, metrics, forecasting/optimization models, and dashboards. Partners with engineering, research, and product teams; requires 5+ years experience, SQL/Python expertise.
Builds and debugs AI agent infrastructure for healthcare automation, including prompt engineering, runtime issue tracing, evaluation datasets, simulation tooling, data pipelines, and observability dashboards. Requires 2-7 years experience with production LLMs/AI agents and TypeScript proficiency.
Builds state-of-the-art vision models and novel LLM techniques for document processing infrastructure. Monitors production models, runs experiments, and owns large product areas in a high-impact founding role.
Builds production AI agents and workflows for governance, risk, and compliance, fine-tuning LLMs on proprietary data for high-accuracy tasks like regulatory analysis and risk assessment. Requires 3+ years applied AI experience with production ML systems emphasizing explainability and responsibility.
Leads research on post-training data curation for foundation models, designing algorithms to generate/improve instruction and preference datasets, and unifying pre/post-training optimization. Requires 3+ years deep learning research, post-training experience with vision/language/multimodal models, and PyTorch proficiency.
Develops and maintains business intelligence dashboards and statistical models to analyze user behavior and support product decisions. Requires 5+ years in data science, strong SQL/Python skills, and experience with large-scale data.
Conducts machine learning research in medical NLP for conversation summarization, evidence extraction, and outcome prediction. Publishes at top AI conferences, deploys models to production, and requires MS/PhD plus strong PyTorch/TensorFlow experience.
Builds AI-powered product features and backend services for intelligent workflows in Linear's product development platform. Collaborates with product/design to integrate foundation models, optimize prompts, and architect reliable AI infrastructure using React, GraphQL, Node, and Temporal.
Bridge research and production to build agentic LLM and NLP systems for finance and legal workflows. Own experiments combining latest research with customer use cases while embedding in the full software development lifecycle.
Build and own core AI agent features and SDKs for an autonomous identity platform. Work across the stack (React, GraphQL, Python/Flask) and mentor engineers as the team scales.
ML Research Engineer trains foundational embedding models for web search, designs novel transformer architectures, creates datasets and evals, and beats state-of-the-art performance. Requires graduate-level ML expertise and ability to implement transformers in PyTorch.
Data Scientist builds and deploys ML models to combat fraud, collaborates with clients on risk solutions, and scales models to production. Requires 5+ years in data science, Python/SQL/Spark proficiency, and strong communication skills.
Designs and builds ML systems for real-time fraud detection, including data pipelines, model deployment, and backend services in Go/Python. Requires 5+ years software engineering with applied ML experience on large datasets.
Builds complex AI agent pipelines using LLMs, develops ML models with fine-tuning pipelines, and deploys AI infrastructure on cloud platforms. Requires 5+ years experience, expertise in AI/ML systems, and bachelor's degree or higher.
As a Perception Autonomy Engineer, you will develop, integrate, and maintain real-time sensor software solutions for autonomous vehicles. This involves designing and deploying AI/ML sensor algorithms, creating interfacing software for sensor control, and collaborating with cross-functional teams for seamless deployment and testing.
Builds and deploys language model-powered systems for cyber national security applications, including fine-tuning LLMs, RAG systems, and production inference. Requires 4+ years ML experience, Python/PyTorch proficiency, and LLM post-training expertise.
Builds and scales data pipelines for video AI datasets, owning end-to-end projects from sourcing to delivery with ML filters and dashboards. Requires strong Python skills, clean code practices, and customer communication.
Conducts advanced LLM research for post-training, roleplay, and real-time integration into an anime-style 3D adventure game AI companion. Requires deep LLM expertise, anime passion, and ability to build scalable infrastructure on a small onsite team.
Researches and develops motion generation models (text-to-motion, audio-to-motion, facial animation) for real-time AI anime companions in narrative-driven 3D games. Requires hands-on AI model training experience and anime passion; on-site in SF or Tokyo.
Analyzes product metrics, designs and runs A/B tests, builds dashboards, prototypes models, and evaluates LLM agents to improve matching, hiring, and revenue. Requires strong SQL/Python, stats, and 0-2 years experience.
Architects and leads development of scalable ML training infrastructure, including scheduling, storage, networking, and reinforcement learning systems. Requires proficiency in Go, Kubernetes expertise, distributed systems knowledge, and experience with cloud providers and ML workloads.
Develops market-neutral trading signals and machine learning models to predict financial asset movements using large datasets. Requires 2+ years in systematic trading, STEM degree, and strong Python skills.
Designs and implements AI solutions including ML models and LLMs to automate financial workflows and provide real-time insights in an accounting platform. Requires strong ML/DL/NLP expertise, Python, PyTorch/TensorFlow, and production deployment experience in a fast-paced startup.
Senior Data Scientist partners with Product and Engineering teams to build data models, ML frameworks, and analytics for feature roadmaps and customer insights. Requires MS/PhD, 8+ years experience, expert SQL/Python, and MPP database fluency.
Senior ML Engineer on Spotify's Supply Personalization squad, designing and implementing ML systems to optimize ad loads, user behavior analysis, and ad experiences using causal inference and large-scale experimentation. Requires strong applied ML, software engineering, data analysis expertise, and proficiency in Python/Java/Scala, TensorFlow/PyTorch, and data pipelines.
Designs and scales infrastructure for evaluating multimodal generative AI models, including pipelines, metrics, and integration into training loops. Requires 5+ years in ML evaluation systems, expertise in visual data, Python, and ML frameworks like PyTorch.
Builds and optimizes scalable ML inference infrastructure using Kubernetes and GPU resources to deploy production AI models with low latency. Collaborates with ML research and product teams on model serving, orchestration, and compute efficiency.
Develops AI applications and demos using Quadric's SDK, integrates products into AI/LLM frameworks, optimizes models for edge devices, and provides technical leadership and support to customers and developer community. Requires 5+ years with AI frameworks like PyTorch or TensorFlow, plus Python/C++ proficiency.
Builds and optimizes multimodal LLM-based AI agents for enterprise conversations, integrating with systems via APIs and automating high-stakes workflows. Requires 3+ years in AI engineering, Python/PyTorch proficiency, and experience with LLMs or vision models.
Builds, deploys, and optimizes enterprise-grade AI agents for high-stakes conversations, integrating with enterprise systems and fine-tuning LLMs. Requires 3+ years in AI engineering or NLP with Python, PyTorch/TensorFlow proficiency.
12-week fellowship for PhD/MSc STEM graduates to gain hands-on experience in AI engineering, product development, and research. Fellows develop/deploy AI agents using LLMs/RAG, optimize models, and work on enterprise projects with mentorship from AI leaders.
Builds foundational ML platform infrastructure including model serving pipelines, GPU scheduling systems, and CI/CD for large-scale multimodal AI models. Requires 5+ years in distributed systems with expertise in Python, Kubernetes, and AWS.
Develops and optimizes diffusion models and generative AI for fashion design software. Conducts research, implements techniques for design quality and controllability, and deploys to production. Requires Master's/PhD, 3+ years experience, PyTorch proficiency.
Build, scale, and maintain complex AI/NLP models for the Verneek AI platform, focusing on production deployment of large-scale systems. Requires 3+ years Python/PyTorch experience and BSc in CS; NLP expertise preferred.
Develops methods for AI agents to self-improve post-training through prompt optimization, continual learning from long-horizon tasks, hypothesis testing, and scalable experiments. Requires expertise in LLMs, agent frameworks, and impactful research track record.
Forward Deployed Engineer designs and deploys AI integrations and agentic workflows into customer enterprise systems, owning end-to-end production rollout. Requires 5+ years software engineering, Python proficiency, and LLM production experience.
Builds and improves AI agents and workflows for automating enterprise operations like IT, HR, and finance. Requires 4+ years software engineering with applied AI focus, full-stack skills in TypeScript/Node.js/React, and strong product sense.
Advances AI coding models through research, experimentation, and system optimization on the Codex team. Collaborates to improve code generation, reasoning, and performance for real-world deployment.
Build scalable voice interface features through ML prototyping, infrastructure development, and inference optimization. Requires Python fluency, LLM expertise, and startup experience.
Develops scalable voice interface features through prototyping, infrastructure building, and R&D. Requires PhD in ML or related field, top conference publications, Python/LLM fluency, and strong engineering skills.
Build and maintain core data models, pipelines, and reporting infrastructure using modern data stack tools to enable decision-making across product, ops, and GTM teams. Requires 3-6 years of production data/analytics engineering experience and expert SQL.
Develops and trains large-scale diffusion models for image/video generation, controllability modules like IPAdapters/ControlNets, and novel research techniques for production. Requires proven experience with image/video models at scale and deep learning frameworks.
Develops low-latency, high-throughput inference services for OCR and multimodal models, optimizing batching, kernels, and autoscaling while evaluating serving frameworks. Requires 3+ years in performance engineering or ML systems with strong Python and GPU experience.
Develops and fine-tunes specialized vision and language models for document understanding, including OCR, layout, tables, and charts. Requires 3+ years ML experience with PyTorch/JAX and strong engineering focus; onsite in San Francisco.
Develops and optimizes transformer-based vision-language models for physical security, owning full-cycle training, fine-tuning, and deployment optimization. Collaborates cross-functionally to integrate models into the platform using PyTorch/TensorFlow and advanced AI techniques.
Develops controllability, personalization, and productization for video foundation models using fine-tuning, RL, and evaluation techniques. Requires deep expertise in visual generative models, PyTorch, and product-focused research for creative workflows.
Develops state-of-the-art agentic AI systems for issue triage, debugging, and predictive analytics using Sentry's error datasets. Requires 4+ years experience (with MS/PhD) or 6+ (with Bachelor's), Python, PyTorch expertise, and production ML deployment skills.
Curates structured datasets on companies, people, and networks using investigative research in English and Chinese sources. Partners with engineering for data quality and supports customers on supply chain intelligence, requiring 4+ years in investigations or due diligence.
Builds AI systems for voice-first interfaces, audio intelligence pipelines, and real-world conversation analysis using Python/TypeScript and ML tools like PyTorch/OpenAI. Deploys production LLM systems with customer focus in NYC office.
Builds autonomous AI agents for workflows like email generation, prospect research, and meeting scheduling. Requires 2+ years shipping AI products with expertise in LLMs, RAG, agents, and production optimization.
Data Scientist shapes infrastructure scaling for OpenAI's AI models and products by building datasets, metrics, forecasting/optimization models, and dashboards. Partners with engineering, research, and product teams; requires 5+ years experience, SQL/Python expertise.
Builds and debugs AI agent infrastructure for healthcare automation, including prompt engineering, runtime issue tracing, evaluation datasets, simulation tooling, data pipelines, and observability dashboards. Requires 2-7 years experience with production LLMs/AI agents and TypeScript proficiency.
Builds state-of-the-art vision models and novel LLM techniques for document processing infrastructure. Monitors production models, runs experiments, and owns large product areas in a high-impact founding role.
Builds production AI agents and workflows for governance, risk, and compliance, fine-tuning LLMs on proprietary data for high-accuracy tasks like regulatory analysis and risk assessment. Requires 3+ years applied AI experience with production ML systems emphasizing explainability and responsibility.
Leads research on post-training data curation for foundation models, designing algorithms to generate/improve instruction and preference datasets, and unifying pre/post-training optimization. Requires 3+ years deep learning research, post-training experience with vision/language/multimodal models, and PyTorch proficiency.
Develops and maintains business intelligence dashboards and statistical models to analyze user behavior and support product decisions. Requires 5+ years in data science, strong SQL/Python skills, and experience with large-scale data.
Conducts machine learning research in medical NLP for conversation summarization, evidence extraction, and outcome prediction. Publishes at top AI conferences, deploys models to production, and requires MS/PhD plus strong PyTorch/TensorFlow experience.
Builds AI-powered product features and backend services for intelligent workflows in Linear's product development platform. Collaborates with product/design to integrate foundation models, optimize prompts, and architect reliable AI infrastructure using React, GraphQL, Node, and Temporal.
Bridge research and production to build agentic LLM and NLP systems for finance and legal workflows. Own experiments combining latest research with customer use cases while embedding in the full software development lifecycle.
Build and own core AI agent features and SDKs for an autonomous identity platform. Work across the stack (React, GraphQL, Python/Flask) and mentor engineers as the team scales.
ML Research Engineer trains foundational embedding models for web search, designs novel transformer architectures, creates datasets and evals, and beats state-of-the-art performance. Requires graduate-level ML expertise and ability to implement transformers in PyTorch.