Stability AI jobs

Sr. Technical Program Manager - AI/ML Hardware Health & Stability, Global Data Center Operations Seattle, Washington, USA The Central Operations team within Amazon Web Services (AWS) Infrastructure is seeking a Senior Technical Program Manager to drive the health, stability, and operational excellence of new hardware deployments across our global data center fleet. This role uniquely blends technical program management with strategic account management to ensure our GenAI and high-performance computing infrastructure delivers maximum value to customers. As a Sr. TPM, you will be the technical advocate and strategic advisor for operational support of new AI/ML hardware platforms. You will serve as the central owner of operational health (failure rate, repair efficacy, repair dwell time, break/fix process improvement) while driving cross-functional initiatives to improve these key performance indicators. You will work at the intersection of hardware engineering, data center operations, and service teams like EC2-translating complex technical data into actionable insights and leading programs that accelerate capacity delivery while maintaining the highest standards of operational health. This is not a sales role, but rather an opportunity to be the 'voice of the customer' and the 'voice of operations' for critical infrastructure that powers AWS's most demanding workloads. You will craft and execute strategies to optimize new hardware deployments, proactively identify and remediate stability issues, and establish best practices that scale across AWS's global infrastructure. Key job responsibilities Hardware Health & Stability Leadership - Own the end-to-end health and stability metrics for new AI/ML hardware platforms, establishing KPIs and routines that provide

Lead AI Engineer, Data Solutions California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York We are looking for a Lead AI Engineer to build next-generation AI and ML systems at Salesforce. This role focuses on developing intelligent decisioning systems and building an agent flywheel-a system of feedback loops that continuously evaluate, optimize, and improve agent performance over time. This is an applied AI role with strong data and systems ownership. You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production. What You'll Do Build the Agent Flywheel Design feedback loops that enable agents and ML systems to improve from real-world outcomes Track outcomes (engagement, conversion, quality) and evaluate agent performance Build pipelines that collect and structure agent traces into training and evaluation datasets Drive continuous improvement via prompting, policies, model selection, and fine-tuning Develop ML & Agent Systems Build and deploy ML models (classification, ranking, forecasting, recommendation) Design AI agents that combine LLM reasoning, tool usage, and ML decisioning Implement reusable patterns for multi-step reasoning, tool orchestration, and structured outputs Integrate models and agents into business-critical workflows Own Data & Model Pipelines Design and build scalable data pipelines (batch and near real-time) for training, evaluation, and inference Transform raw interaction data into features, labels, and evaluation datasets Enable continuous retraining and evaluation through tightly coupled data + model pipelines Ensure data quality, consistency, and reliability Evaluation & Experimentation Build offline and online evaluation frameworks Develop

AI Platform Reliability Engineer United States, US Oracle Health is seeking an AI Platform Reliability Engineer to ensure our AI agent platform and AI-enabled analytics workflows are reliable, observable, measurable, and safe in production. This role will focus on the operational foundation for production AI systems, including monitoring, tracing, evaluation in production, rollback controls, alerting, versioning, runtime diagnostics, and quality safeguards. The engineer will also support data reliability use cases such as detection of stopped processing, data gaps, freshness issues, schema drift, and anomaly conditions that affect downstream analytics and reporting. The ideal candidate brings strong engineering discipline in observability, release safety, and operational tooling, with the ability to apply those skills to modern AI and agent-based systems. This role is critical to maintaining trust in AI outputs and ensuring new capabilities can scale safely across Oracle Health. Build and maintain observability, logging, tracing, and monitoring for AI agents, agent tools, and AI-enabled analytics workflows. Implement release, rollout, rollback, and versioning controls for prompts, models, tools, and configurations. Design and support production evaluation practices to detect regressions, silent failures, quality drift, and performance issues. Contribute to data monitoring and reliability workflows, including detection of stopped processing, data gaps, freshness issues, schema drift, and anomalies. Support incident response, triage, root-cause analysis, and operational reporting for AI and data reliability issues. Partner with architects and AI engineers to ensure systems are production-ready, measurable, and maintainable. Implement latency, throughput, and cost monitoring controls for AI-enabled systems. Help enforce operational safeguards, auditability, and controlled

Applied AI Coach Georgia - Atlanta; California - Irvine; New York - New York; California - San Francisco; Colorado - Denver The Applied AI Coach is part of our new Outcome Acceleration team. Our team works with Agentforce to stay ahead of customer needs and ensure AI delivers real results. In this role, you will own the customer journey from the first sale until their AI deployment is stable and delivering value. You'll bridge the gap between building AI and realizing the business outcomes it was promised to bring. This is a hybrid role, based out of our SMB Hub, requiring an on-site presence 3 days per week. Responsibilities Design and execute success plans to measure whether AI agents are meeting their goals and matching the original business case Run four-week sprints to diagnose and resolve performance issues when AI results are lagging Lead business reviews with customer teams, demonstrating tangible value through outcome data rather than simple usage reports Track AI agent deployment and adoption weekly to ensure stability in production Required Qualifications Degree in Computer Science, Information Systems, Engineering, Data Science, or a related field 1-3 years of work or internship experience in technical roles such as data analytics, engineering, or technical support Proven ability to work directly with customers to solve problems and communicate technical concepts clearly Hands-on experience with prompt engineering, vibe-coding tools, or LLMs Strong analytical skills with the ability to interpret outcome models and prove the value of AI Clear understanding of how AI

Senior AI Integration Engineer 2 Locations posted: Posted 30+ Days Ago

AI Engineer San Diego, CA posted: Posted 17 Days Ago

Forward Deployed AI Engineer Tokyo posted: Posted 30+ Days Ago

Senior Product Manager, AWS Neurosymbolic AI Boston, Massachusetts, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

Associate Technician, Stability North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: Support the Stability Program to assure studies are place in chambers and that samples are dispensed accurately and in a timely manner. Support the Reference Standard Program to ensure standards are stored, inventoried and dispensed in an accurate and timely manner. Ship samples domestically and international following requirements for shipping dangerous goods and/or controlled substances. Accurately, legibly and contemporaneously document these activities following current Good Manufacturing Practice guidelines and applicable procedures. Perform and verify visual inspections of reserve samples as part of complaint investigations, annual product reviews or other exception events. Maintain a neat and orderly work environment in a continuously audit ready. Responsibilities Dispense stability samples and reference standards from storage and deliver them to local testing laboratories or ship samples domestically and internationally, coordinating with Global Trade Compliance, the recipient and the shipping vendor to ensure all documentation such as invoices are completed correctly to prevent customs delays. Maintain inventory of stability materials, reserve samples and reference standards,

Principal AI Engineer California - San Francisco; Washington - Seattle; Illinois - Chicago; California - Palo Alto; New York - New York; Washington - Bellevue We are seeking a highly skilled AI Platform Engineer to play a pivotal role in building the next generation of our ML/AI platform that doesn't just support ML models, but powers autonomous AI agents at enterprise scale. This role sits at the intersection of platform infrastructure and agent systems engineering. You'll build and maintain the core infrastructure, CI/CD pipelines, and platform services that underpin our machine learning initiatives and go further in designing the harnesses, sandboxes, and evaluation frameworks that let AI agents be developed, tested, and trusted in production. You'll work on systems that directly impact marketing, sales, service, and product growth verticals across the organization. This isn't a traditional infrastructure role. You should be comfortable wearing multiple hats of software engineering, agent systems design, and evaluation tooling. We're looking for engineers who think in flywheels: build →evaluate → improve → ship → repeat. What You'll Do Agent Harness & Flywheel Engineering Design and build agent harness infrastructure: the scaffolding that wraps LLM calls, manages tool use, handles retries, enforces policy, and feeds results back into iterative improvement loops. Implement agentic loop patterns with multi-turn reasoning, tool orchestration, memory management, and structured output handling as reusable platform primitives Build the agent flywheel: automated pipelines that collect agent traces, surface regressions, route failures to evaluation, and close the loop from production signal back to prompt/model

Senior AI Solutions Engineer 6 Locations posted: Posted 17 Days Ago

Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago

Senior Engineer – Stability Analysis (Remote Eligible-US) 2 Locations posted: Posted 2 Days Ago

Specialist Stability India - Hyderabad posted: Posted 30+ Days Ago

Principal Product Manager, AWS Neurosymbolic AI Seattle, Washington, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

AI Engineer 2 Locations posted: Posted 30+ Days Ago

Manager - Stability India - Hyderabad posted: Posted 3 Days Ago

AI Engineer 3 Locations posted: Posted 24 Days Ago

Senior AI Agent Engineer 2 Locations posted: Posted 30+ Days Ago

Staff AI/ML Engineer - Edge AI System 6 Locations posted: Posted 30+ Days Ago

Associate Quality Manager, Stability Cary, Illinois posted: Posted Today

Project Manager (all genders) Energy Storage & Power Stability Berlin posted: Posted Today

Sales Manager - Power Stability Southwest Remote posted: Posted 30 Days Ago

HVDC & Power Stability – Business Developer Sao Paulo posted: Posted 30+ Days Ago