Find your next AI Engineering role
1097+ open roles · 22+ companies hiring
1097 open positions
Senior Site Reliability Engineer
Harvey
As a Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.
Infrastructure Security Engineer (Secret + Clearance)
Cohere
Cohere is a leading enterprise AI company focused on building cutting-edge foundation AI models and end-to-end products. We are looking for passionate individuals to join our team and contribute to the widespread adoption of AI by training and deploying frontier models for enterprises. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany, and Paris.
Manager, Security Engineering
Cohere
Cohere is a leading enterprise AI company focused on building cutting-edge foundation AI models and end-to-end products. We are seeking a Manager of Security Engineering to lead and grow a high-performing team, executing the long-term vision for security in alignment with Cohere's product and business goals. This role involves serving as a trusted advisor to leadership, articulating business risks, and prioritizing high-impact initiatives. You will be instrumental in the widespread adoption of AI by ensuring robust security practices across the organization.
$225k - $325k
EMEA Growth Lead
Replit
Replit is seeking an EMEA Growth Lead to establish and scale its commercial presence in the United Kingdom. This high-impact role focuses on enterprise business development, channel sales, and market strategy, with responsibility for Replit's presence in the EMEA market. The ideal candidate will build partnerships with enterprise and government customers, activate reseller and channel partner networks, and represent Replit at industry events. This position requires deep understanding of the EMEA business and technology landscape, experience navigating enterprise and public-sector sales cycles, and the ability to build trust with diverse stakeholders.
Japan Growth Lead
Replit
Replit is seeking a Japan Growth Lead to establish and scale the company's commercial presence in Japan. This high-impact role combines enterprise business development, channel sales, and market strategy, focusing on building partnerships with enterprise and government customers, activating reseller networks, and representing Replit at industry events. The ideal candidate possesses deep knowledge of Japan's business landscape, experience navigating enterprise and public-sector sales cycles, and the ability to build trust with diverse stakeholders.
Product Manager, Enterprise Core Platform
Scale AI
Scale is seeking a Platform Product Manager to define and own the core infrastructure that powers AI deployment for major organizations. This role is distinct from a typical roadmap or feature-focused PM; you will be responsible for establishing the foundational elements upon which all other AI development relies. Your focus will be on ensuring reliability, prioritizing work based on customer needs and team velocity, identifying reusable patterns for core integration, and upholding a high standard of quality for all platform capabilities. The ideal candidate possesses a proven track record of defining and shipping production-ready platform capabilities in demanding environments, understanding the critical difference between necessary, interesting, and unnecessary development.
Security Engineer - Vuln Management (Infra)
Replit
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We are seeking a mid-level Infrastructure Vulnerability Management Engineer with a strong background in Cloud Security, DevSecOps, and Infrastructure-as-Code (IaC). In this role, you will bridge the gap between security, compliance, DevOps, and Platform engineering teams. You will identify infrastructure misconfigurations, secure multi-cloud environments, and manage continuous vulnerability lifecycles across cloud workloads, containers, and data repositories to satisfy strict regulatory compliance frameworks. You will also serve as a technical infrastructure responder during security incidents, deploying real-time cloud or network countermeasures to protect our production ecosystem. What You'll Do Core Responsibilities - Infrastructure Scanning & Triage: Perform continuous security scanning across our cloud posture and workloads. Review, validate, and prioritize flaws and misconfigurations based on CVSS scores, real-world exploitability, and infrastructure network exposure. - Posture Management & Visibility: Own and optimize Cloud Security Posture Management (CSPM), Kubernetes Security Posture Management (KSPM), and Data Security Posture Management (DSPM) tools to ensure uniform compliance, prevent data leakage, and maintain hardened baselines. - Infrastructure-as-Code (IaC) Security: Configure, tune, and embed automated IaC security scanning tools into CI/CD pipelines to identify architectural risks (e.g., overly permissive IAM, public S3 buckets/Cloud Storage) before they are deployed to production. - Workload & Container Security: Manage the continuous vulnerability scanning lifecycle for container images, registries, and Virtual Machines (VMs), partnering with SRE and Platform teams to build automated base-image patching and rolling upgrade pipelines. - Compliance-Driven Tracking: Track, document, and manage infrastructure vulnerabilities according to strict compliance SLAs (e.g., SOC 2, ISO 27001, PCI-DSS). Maintain audit-ready evidence of infrastructure remediation timelines and exception approvals. - Executive Reporting & Alerting: Escalate and report critical production exposures directly to the CISO and senior leadership. Maintain dashboards and alerting mechanisms that visualize infrastructure risk trends and cloud compliance posture. - Remediation Collaboration: Partner with SRE, DevOps, and Platform teams to provide clear infrastructure mitigation paths. Assist in writing, reviewing, or modifying cloud configuration templates directly when necessary to resolve security flaws. - Incident Response Support: Assist Incident Response teams during active cloud or host-level breaches. Help develop and implement immediate, real-time cloud, network, or IAM configuration countermeasures to contain threats. Required Skills & Experience - Experience: 5 years of experience in Cloud Security, DevSecOps, or Systems Engineering roles. - Cloud Infrastructure Depth: Strong foundational experience working with multi-cloud environments (Deep GCP expertise preferred, with working knowledge of AWS or Azure). - Posture Management & Scanning Tooling: Hands-on experience operating modern infrastructure security platforms such as Wiz, Orca, Prisma Cloud, Lacework, or cloud-native options (GCP Security Command Center). - IaC and Automation Fluency: Strong proficiency with Infrastructure as Code platforms (Terraform, Pulumi) and GitOps deployment workflows. Ability to evaluate and configure IaC scanners like Checkov, Tfsec, or KICS. - Containerization & Orchestration: Deep understanding of Docker/container security and Kubernetes architectures (e.g., GKE, EKS), including runtime security, network policies, and workload identity. - Compliance Awareness: Understanding of how infrastructure configurations and vulnerability management map to security compliance frameworks like SOC 2, ISO 27001, CIS Benchmarks, or NIST. What We Value - Systems Thinking: The ability to see the "big picture" and understand how security decisions impact the entire stack. - Technical Influence: The ability to drive technical alignment across the organization through expertise and collaboration rather than direct authority. - Autonomy: Comfortable leading major technical initiatives and driving outcomes with minimal oversight. - Problem-Solving Mindset: A passion for breaking down complex security challenges into elegant, scalable engineering solutions. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office Only) 📱 Monthly Wellness Stipend 🧑💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Meet the Replit Agent - Replit: Make an app for that - Replit Blog - Amjad TED Talk Interviewing + Culture at Replit - Operating Principles - Reasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Staff Software Engineer, Fraud
Replit
The Fraud team is the front line defending Replit's platform from exploitation, detecting and shutting down phishing deployments, preventing cryptomining on free-tier infrastructure, stopping LLM token farming, and keeping bad actors from weaponizing the platform against our users. This is adversarial work where attackers adapt constantly, and you will build the detection systems, heuristics, and automated responses to stay ahead of them. This role offers unique experience applying AI to security problems in production, building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse. You will own problems end-to-end, from identifying emerging abuse patterns to shipping the systems that stop them at scale.
Staff Software Engineer, Risk
Replit
The Risk team at Replit is on the front lines, defending the platform from exploitation by detecting and shutting down malicious activities. This adversarial role involves staying ahead of constantly adapting attackers by building detection systems, heuristics, and automated responses. You will tackle unique, AI-native problems such as building guardrails for AI-generated code, detecting prompt injection attacks at scale, and leveraging LLMs as a defensive tool against abuse. This is a hands-on opportunity to apply AI to security problems in a production environment with real attackers, owning problems end-to-end from identifying abuse patterns to shipping scalable solutions.
Staff Software Engineer, Trust & Safety
Replit
Replit is seeking a Staff Software Engineer for its Trust & Safety team to defend the platform from exploitation. This role involves detecting and shutting down various forms of abuse, including phishing, cryptomining, and LLM token farming, by building advanced detection systems and automated responses. The position offers unique challenges at the intersection of AI and security, focusing on problems like building guardrails for AI-generated code, detecting prompt injection at scale, and using LLMs defensively. You will own problems end-to-end, from identifying abuse patterns to implementing solutions that stop them at scale, gaining hands-on experience applying AI to security in a production environment with real attackers.
Senior Software Engineer, Fraud
Replit
The Fraud team at Replit is on the front lines, defending the platform from exploitation by detecting and shutting down malicious activities. This adversarial role involves building detection systems, heuristics, and automated responses to combat threats like phishing, cryptomining, LLM token farming, and platform weaponization. You will work on unique AI-native security challenges, including building guardrails for AI-generated code, detecting prompt injection attacks at scale, and leveraging LLMs for defense. This is an opportunity to gain hands-on experience applying AI to security problems in a production environment with real attackers, owning problems end-to-end from identifying abuse patterns to shipping scalable solutions.
Senior Software Engineer, Risk
Replit
The Risk team at Replit is responsible for defending the platform from exploitation by detecting and shutting down malicious activities such as phishing, cryptomining, and LLM token farming. This role involves adversarial work, where you will build detection systems, heuristics, and automated responses to stay ahead of constantly adapting attackers. A unique aspect of this role is the AI-native nature of Replit's platform, offering hands-on experience applying AI to security problems in a production environment. You will own problems end-to-end, from identifying emerging abuse patterns to shipping systems that stop them at scale, working on novel problems like building guardrails for AI-generated code and detecting prompt injection attacks.
Senior Software Engineer, Trust & Safety
Replit
The Trust & Safety team at Replit is on the front lines, defending the platform from exploitation by detecting and shutting down malicious activities such as phishing, cryptomining, and LLM token farming. This role involves adversarial work, requiring the development of detection systems, heuristics, and automated responses to stay ahead of constantly adapting attackers. A unique aspect of this position is its focus on AI-native security challenges, including building guardrails for AI-generated code, detecting prompt injection attacks at scale, and leveraging LLMs for defense against platform abuse. The role offers hands-on experience applying AI to security problems in a production environment with real attackers, with opportunities to own problems end-to-end from identifying abuse patterns to shipping scalable solutions.
Technical Lead Manager, Physical AI
Scale AI
Scale AI is seeking a Technical Lead Manager for its Physical AI team, focusing on the development of general AI that can reason and act in the physical world. This role bridges cutting-edge Machine Learning research with physical robot deployment, leading a team of Research Engineers while remaining a hands-on technical contributor. The primary focus is on developing and evaluating Large-Scale Foundation Models, such as VLAs and World models, to enable robots and autonomous vehicles to generalize across diverse tasks and environments. The team leverages Scale's extensive data infrastructure to help build Foundation Models for Physical AI, aiming to redefine the future of automation.
$249k - $311k
Lead Counsel, Global Public Sector
Scale AI
Scale AI is seeking a Lead Counsel for its Global Public Sector team to support international expansion, particularly in Europe, the Middle East, and Asia. This role will focus on building and deploying Generative and Agentic AI systems for governments and public sector entities. The ideal candidate is a curious, open-minded, and action-oriented commercial attorney skilled in negotiating complex agreements and optimizing risk, while also being a strong team player who enjoys solving novel challenges and building relationships.
Engagement Manager (Germany), Public Sector
Scale AI
Scale AI is seeking an Engagement Manager to lead and coordinate the delivery of agentic workflows for the U.S. government and allied partners. This role requires a blend of program leadership, technical fluency, and contract awareness, with a focus on delivering enterprise-grade generative AI solutions. The ideal candidate will thrive in fast-moving, ambiguous, and mission-driven environments, managing customer relationships from executive to end-user levels and ensuring an exceptional customer experience. This position is forward-deployed in Germany, requiring regular travel and eventual relocation to be onsite with customers.
$191k - $291k
Director, Forward Deployed Engineering
Scale AI
Scale AI is seeking a Director of Forward Deployed Engineering to lead delivery for their largest and most strategic enterprise accounts. This role involves embedding elite engineers with Fortune 500 customers to ship deeply integrated AI agents, overseeing everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure required for production readiness. The Director will partner closely with Product and core Engineering teams to ensure efficient delivery, translating field learnings into reusable platform capabilities. This is a high-autonomy, founder-mindset position focused on owning outcomes end-to-end, scaling a high-performing team, and shaping enterprise AI adoption.
Technical Program Manager, Gen AI Operations Planning
Scale AI
Scale's Operations Planning Team is at the intersection of Engagement Management, GenAI Delivery, GTM, and Growth Ops. The Planning TPM reduces friction between customer requirements and delivery by centralizing planning, standardizing reporting, and driving consistent process execution across accounts. This role combines program management, operational rigor, analytics literacy, and strong stakeholder management to make account planning predictable, auditable, and scalable. Each Planning TPM will support 1-2 priority accounts to develop the context and relationships required to drive lasting operational improvements and more accurate planning and forecasting.
$151k - $189k
Senior AI Infrastructure Engineer - Training Platform
Scale AI
As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.
$216k - $270k
Staff Software Engineer, Public Sector
Scale AI
The Public Sector software engineers at Scale create core product building blocks for forward-deployed teams developing agentic capabilities across multiple domains. This role involves building systems to ingest and process federal datasets for real-time decision-making in contested environments, and developing novel agentic capabilities such as multi-layered guardrails, optimized data retrieval, and asynchronous agent orchestration. As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities, mentor other engineers, and define technical strategy for key agentic components. You will ensure system reliability and performance across various security classifications and network types, and communicate technical trade-offs to senior stakeholders to influence long-term product strategy.
$189k - $362k
Solutions Engineer (Clearance Required)
Scale AI
Our customer base is growing exponentially, and you will be on the front lines of ensuring that the world's most innovative companies become passionate, lifelong, Scale customers. Our Solutions Engineers ensure customers' first experiences with Scale's technology are flawless and lead to a successful long-term partnership. The work will vary daily, and we’re looking for technical experts excited to solve tough problems. As a solution engineer, you will be a part of helping shape our early-stage federal business by re-envisioning our commercial product offerings for our federal clients.
$186k - $233k
Software Engineer, Robotics
Scale AI
Scale's Robotics business unit is focused on solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you will be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You will have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.
Senior Software Engineer, Public Sector
Scale AI
Scale is seeking Senior Software Engineers to join our Public Sector team. You will build core product components that enable forward-deployed teams to develop agentic capabilities across multiple domains. This involves creating systems to ingest and process federal datasets for real-time decision-making in challenging environments. You will lead the development of new agentic capabilities, including multi-layered guardrails, optimized data retrieval, orchestration of asynchronous agents, automated deviation alerts, and decision-path illustration.
$162k - $311k
Product Manager, Data Engine
Scale AI
Scale AI is seeking a technical Product Manager to lead the evolution of the Public Sector Data Engine. This role is focused on building tools to measure and improve computer vision and generative AI models critical for national security systems. You will architect the vision for ML Ops tooling, creating a foundational engine for data management, curation, model development, and evaluation. This hybrid role requires a PM who understands both the strategic 'why' and the technical 'how,' bridging the gap between data labeling and full-stack AI partnership.
$178k - $266k
ML Systems Engineer, Robotics
Scale AI
Scale's Physical AI business unit is focused on solving data bottlenecks in Robotics, Autonomous Vehicles, and Computer Vision. This role involves applied research and developing ML pipelines for processing, training, and fine-tuning data collected by Scale, with an emphasis on optimizing algorithms and pipelines for efficient GPU execution in the cloud. You will advance research, shape Scale's offerings, and expand the frontier of data and model evaluation for Physical AI. As an ML Systems Engineer, you will design and build platforms for scalable, reliable, and efficient serving of foundation models tailored for physical agents, powering both internal research and external customer use cases.
$249k - $311k
Forward Deployed Product Manager, Enterprise
Scale AI
Scale is seeking a Forward Deployed Product Manager (FDPM) to drive the success of enterprise AI deployments. This role is embedded with customers, focusing on achieving real production outcomes and translating operational realities into actionable product insights. Unlike a traditional roadmap PM or solutions engineer, the FDPM owns product outcomes within a portfolio of enterprise accounts, building trust with senior stakeholders, guiding deployments to production, and identifying product versus execution bottlenecks. The ideal candidate can differentiate between stated customer needs, underlying problems, and optimal platform solutions, having previously shipped products into large organizations.
$206k - $300k
Research Scientist, Safety Post Training
Scale AI
Scale Labs is seeking talented researchers to join a new team focused on policy research, bridging the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. This role will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer and better understood. You will design and run post-training pipelines, develop interpretability-informed evaluations, and collaborate with policymakers, engineers, and other researchers to translate findings into actionable safety standards and best practices.
$216k - $270k
Research Scientist, Frontier Risk Evaluations
Scale AI
Scale Labs is seeking a Research Scientist focused on Frontier Risk Evaluations to join a new team dedicated to policy research. This role bridges the gap between AI research and global policymakers, aiming to inform scientific decisions about AI risks and capabilities. The team tackles complex problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risks while promoting AI adoption. This position involves designing and creating evaluation measures, harnesses, and datasets for assessing the risks posed by frontier AI systems, with opportunities to collaborate broadly and publish findings.
$216k - $270k
Research Scientist, AI Controls and Monitoring
Scale AI
Scale Labs is seeking a Research Scientist focused on AI Controls and Monitoring to join a new team dedicated to policy research. This role will bridge the gap between AI research and policymakers, focusing on scientific decisions about AI risks and capabilities. The team tackles challenges in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. You will design methods, systems, and experiments to ensure advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. This role involves collaboration across industry, the public sector, and academia, with regular publication of findings.
$216k - $270k
Research Scientist, Agent Robustness
Scale AI
Scale Labs is seeking talented researchers to join a new team focused on policy research, bridging the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. This role will tackle fundamental challenges in building AI agents that are safe and aligned with humans, researching agent capabilities, designing evaluation harnesses, building exploits and mitigations for failure modes, and characterizing risks of multi-agent systems. The team collaborates broadly across industry, the public sector, and academia, regularly publishing findings.
$216k - $270k
Product Manager, Gen AI
Scale AI
Scale AI is seeking Product Managers to join its GenAI organization, focusing on building the data infrastructure that powers advanced AI. These roles involve shaping systems, tooling, and experiences for a two-sided marketplace connecting AI labs and enterprises with a global network of contributors. You will work on high-impact, technically complex problems at the frontier of AI, owning product areas end-to-end from strategy to execution. The positions require deep cross-functional collaboration with engineering, design, data science, operations, and other stakeholders in a fast-paced, growth-stage environment.
Staff Software Engineer, Data Platform
Scale AI
Scale is at the forefront of the AI revolution, developing data engines and technologies that power the world's leading LLMs and generative models. This role is on the Platform Engineering team, responsible for the foundational data infrastructure that supports these cutting-edge AI products. You will lead the design and development of core data storage, streaming, caching, and indexing platforms, gaining exposure to the rapidly evolving AI landscape across various industries. The work involves driving architecture, implementation, and reliability of these critical systems, collaborating with stakeholders, and mentoring junior engineers.
$252k - $315k
Solutions Engineer, Enterprise
Scale AI
Scale is seeking a Solutions Engineer to join their growing team and ensure that innovative companies become passionate, lifelong Scale customers. In this role, you will partner closely with Account Executives, Product, and Machine Learning Engineers to guide prospective customers through the pre-sales process. You will deliver customized demos and pilots to secure the "technical win," scope customer technical requirements, and develop actionable Statements of Work (SOWs). Solutions Engineers will also collaborate with the delivery team on initial implementations, leveraging expert Scale product and Generative AI knowledge to design solutions that address customer needs and pain points. This role requires strong relationship-building, project management, and technical expertise.
Principal AI Ops Architect, GPS
Scale AI
Scale's Global Public Sector team is dedicated to leveraging AI to tackle significant challenges within the public sector worldwide. This involves creating custom AI applications impacting millions, generating high-quality training data for national LLMs, and providing AI upskilling and advisory services. As a Principal AI Ops Architect, you will be instrumental in designing and developing the production lifecycle for full-stack AI applications. Your role will encompass ensuring end-to-end system reliability, real-time inference observability, sovereign data orchestration, secure software integration, and the resilient cloud infrastructure necessary for international government partners. At Scale, we empower the public sector to transform operations and enhance citizen services through advanced technology, and we are looking for individuals ready to shape the future of AI in this domain.
Director of Technology & Systems
Scale AI
The Director of Technology and Systems will be responsible for building significant depth across Finance, GTM, Operations, and People systems, integrating these capabilities into a powerful, AI-integrated backbone. This role is for a builder-first leader who will combine enterprise architecture with cutting-edge AI automation to eliminate fragmentation and accelerate functional progress. The primary goal is to deploy internal AI agents that reduce manual work, surface actionable insights, and make internal operations as sophisticated as the company's external products.
$235k - $294k
AI Applications Ops Lead, GPS
Scale AI
Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector worldwide. This role involves designing and developing the production lifecycle of full-stack AI applications, ensuring end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and resilient cloud infrastructure for international government partners. The goal is to enable the public sector to transform operations and better serve citizens through cutting-edge technology, with the opportunity to be a founding member of the team.
Tech Lead Manager- MLRE, ML Systems
Scale AI
Scale's LLM post-training platform team builds our internal distributed framework for large language model training, powering MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. This platform also serves as the underlying training framework for the data quality evaluation pipeline. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works, optimizing it to enable next generation LLM training, inference, and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!
$265k - $331k
Staff Infrastructure Software Engineer, Enterprise AI
Scale AI
Scale GP is seeking a Senior or Staff Infrastructure Engineer to lead the engineering of the 'paved road' for knowledge retrieval and inference engines, defining deployment standards for Agentic workflows at scale. This role bridges complex AI orchestration with world-class infrastructure, ensuring platform reliability for enterprise agents. The ideal candidate is passionate about deep technical work, mentoring, and setting long-term technical strategy while maintaining a hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in regulated industries.
$252k - $315k
Solutions Engineer, Enterprise
Scale AI
Scale is seeking a Solutions Engineer to join our growing team and ensure that the world's most innovative companies become passionate, lifelong Scale customers. In this role, you will partner closely with Account Executives, Product, and Machine Learning Engineers to lead prospective customers through the pre-sales process, delivering customized demos and pilots to secure the "technical win." You will be responsible for scoping customer technical requirements, developing actionable Statements of Work (SOWs), and collaborating with the delivery team on initial implementations. Solutions Engineers are expected to be relentlessly curious about customer needs, leverage expert knowledge of Scale products and Generative AI, and build strong relationships while managing projects and providing technical expertise.
$180k - $225k
Software Engineer, Robotics & Autonomous Systems
Scale AI
Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.
$180k - $225k
Frequently asked questions
What counts as an AI Engineering job?
AI Job Board lists engineering roles that build, deploy, or operate AI/ML systems — including LLM engineering, RAG (retrieval-augmented generation), AI agents, prompt engineering, AI infrastructure and MLOps, model serving/inference, and fine-tuning. It excludes non-engineering functions like AI sales or marketing roles.
What is the difference between an AI Engineer and a Machine Learning Engineer?
An AI Engineer typically builds applications on top of existing models — LLM integration, RAG pipelines, agent orchestration, and prompt design. A Machine Learning Engineer more often trains, fine-tunes, or productionizes custom models. Many companies use the titles interchangeably, so search both when browsing.
Does AI Job Board include AI infrastructure and MLOps roles?
Yes. Titles such as AI Infrastructure Engineer, ML Platform Engineer, GPU Infrastructure Engineer, Inference Engineer, MLOps Engineer, and AI Site Reliability Engineer are all covered — these roles focus on the systems that serve and scale AI models rather than building models themselves.
Are remote AI and ML jobs available?
Yes. Filter by "Remote" on the jobs page to see fully remote AI/ML engineering roles, or browse the remote jobs feed directly.
What skills are most in demand for AI engineering roles?
The most commonly requested skills are LLM APIs (OpenAI, Anthropic, Gemini), RAG and vector databases (Pinecone, Weaviate, Qdrant), agent frameworks (LangGraph, CrewAI, AutoGen), inference/serving tools (vLLM, Ray Serve, TensorRT-LLM), and fine-tuning. Use the skill filters on the jobs page to browse by specific technology.
How fresh are the job listings?
Listings are sourced continuously from company career pages and refreshed automatically. Each job shows when it was posted, and the sitemap and API expose last-updated timestamps for every posting.
How much do AI Engineers get paid?
Compensation varies widely by role, seniority, and location. Where employers disclose a salary range, it is shown directly on the job listing — filter by salary range on the jobs page to narrow results to your target compensation.