1,088 total jobs
188 new jobs this week
Build the trust and explainability layer for a shared AI platform, tracing multi-agent workflows, creating evaluation and safety tooling, and helping product teams explain agent decisions to customers.
Build and operate Python services, AI-enabled workflows, and developer tools that automate security processes, improve engineering workflows, and help shape AI and automation practices across Security.
As an AI Software Engineer, you will design, develop, and deploy AI solutions that enhance business products and operations, collaborating with cross-functional teams to deliver impactful results.
Drive innovation in model serving and inference architectures for advanced AI systems, optimizing deployment strategies for high responsiveness and efficiency.
Cientista de Dados Especialista será responsável por liderar a concepção, desenvolvimento e monitoramento de modelos estatísticos e de machine learning para otimizar a tomada de decisão no ciclo de crédito.
As a Cientista de Dados Especialista, you will lead the design and optimization of credit policies, translating data insights into automated strategies that enhance decision-making and risk management.
The Forward Deployed AI Security Engineer is a customer-facing technical operator who assesses and operationalizes AI security controls within client environments.
Own and evolve the technical systems behind content and design production, building AI-assisted workflows, automations, and interfaces while guiding architecture and infrastructure decisions.
Design and optimize AI models and tools, analyze datasets, and collaborate with teams to enhance products using advanced machine learning techniques.
As a Senior Databricks Solution Engineer, you will design and govern a premier data platform in Azure, guiding teams in building production pipelines and implementing best practices.
The role involves designing, developing, and maintaining complex integrations using SAP Integration Suite and SAP BTP, focusing on digital transformation initiatives.
Designs, builds, and supports conversational AI agents, developing chat and voice flows, tuning NLU, integrating enterprise systems, and improving self-service performance across contact center experiences.
Secure enterprise AI adoption by assessing AI and agentic systems, defining testable security controls, and automating their enforcement across tools, protocols, and cloud environments.
Supports the security and governance of AI, ML, and generative AI systems by assessing applications and models, implementing controls, monitoring threats, and helping teams manage risk.
Lead the design and implementation of machine learning solutions to enhance search relevance and discovery experiences, driving innovation in AI-driven personalization.
Join Reddit as a Staff Machine Learning Engineer to enhance ML-powered ad ranking systems through advanced model architectures and contextual embeddings.
As an AI Automation Specialist, you will build and implement AI agents and automations to streamline operations for an Australian accounting firm, enhancing efficiency and accuracy.
As a Data & AI Engineer, you will build and operate data platforms and AI-powered applications on AWS, leveraging Java and Python to enhance guest engagement through reliable analytics and automation.
Build and operate the Capabilities Engine that enables AI agents to safely complete customer tasks, creating reusable platform primitives, evaluation systems, and reliable integrations across contact methods.
Lead AI-driven offensive security assessments across cloud, software, and firmware; build security tooling and model guardrails, validate vulnerabilities, and shape the organization’s strategy for adopting AI safely.
Secures AI systems across products and enterprise environments by designing controls, assessing threats, researching model internals, and helping engineering teams build and deploy AI features securely.
Embed with clinical, product, and operations teams to deliver production AI features end to end, setting validation standards and building reusable, governed tools and platform capabilities.
Build, test, and maintain AI-assisted workflow automations for clinical, care support, operations, and field teams, partnering with stakeholders to improve adoption and reduce repetitive work.
As a Senior AI Platform Engineer, you will design and operate production-grade APIs and backend services that power an AI platform, integrating various AI tools and ensuring system reliability.
Those that list pay offer a median of $190,000 a year. The middle half pay between $165,000 and $225,000.
| Level | Range | Middle half · median |
|---|---|---|
| Mid-level | $139K–$218K · $184K | |
| Senior | $167K–$222K · $190K | |
| Lead | $194K–$245K · $220K |
30% of these listings post pay. From 125 listings with pay in USD, at most three per company.
5% of these listings are open worldwide and 2% to a whole region, like Europe or Latin America. The other 93% hire in specific countries:
From 927 listings that state where they hire.
What hiring companies here ask for far more often than across all remote jobs, so it is worth putting front and center on your resume.
Share of the 431 companies hiring here that ask for each skill, and how many times as often as across all remote jobs. Soft skills like communication are left out.
Half stop taking applications within 34 days of being posted, and 1 in 4 within 12 days. Applying in the first week counts.
12 days
1 in 4 closed by then
34 days
Half closed by then
76 days
3 in 4 closed by then
From 530 listings that closed in the last 120 days, at most three per company.
