Define the technical vision and strategy for the machine learning platform supporting ML and generative AI development.
Set reference architectures and standards for scalable data and ML pipelines, MLOps practices, and production reliability.
Provide technical leadership and mentorship across engineering teams to raise the bar for ML systems.
PointClickCare provides cloud-based healthcare software solutions. With a large engineering team that values collaboration and innovation, they foster a culture of technical excellence and mentorship.
Design, develop, and deploy foundational AI and ML models, building robust, scalable pipelines for advanced analytics.
Champion top-tier coding, testing, and MLOps practices, navigating ambiguity to refine pipelines and elevate workflows.
Partner with cross-functional stakeholders to convert strategic needs into technical specs and embed ML features into live applications.
Wave helps small businesses thrive so the heart of our communities beats stronger. They create an environment buzzing with creative energy and inspiration, valuing boldness, quick learning, and generous knowledge sharing.
Help define and drive the ML engineering strategy for Discovery Mode and related royalty programs.
Design, build, evaluate, ship, and refine production ML systems through hands-on development.
Provide technical leadership across complex ML initiatives and collaborate with cross-functional teams.
Spotify is the world's most popular audio streaming subscription service, focused on unlocking human creativity. With a strong emphasis on inclusivity and innovation, the company employs thousands worldwide and values diverse perspectives.
Lead the design, development, and continuous improvement of foundational AI capabilities for agentic AI use cases.
Define engineering standards, operating models, and governance practices to ensure scalable, reliable, and secure AI platforms.
Oversee engineering teams while partnering with product, data, infrastructure, and business stakeholders to drive AI adoption.
This company builds foundational AI capabilities for enterprise-scale agentic AI products and intelligent workflows. It operates remotely across the US, fostering a culture of innovation, engineering excellence, and cross-functional collaboration.
Lead the engineering organization responsible for the AI platform foundation, including ServiceNow Platform AI, LLM strategy, and advanced AI infrastructure.
Drive enterprise LLM strategy, model orchestration, fine-tuning, and LLMOps/MLOps pipelines for production deployment.
Architect advanced AI infrastructure with GPU/TPU-accelerated and confidential computing, ensuring data residency and compliance across regulated environments.
ServiceNow is the AI control tower for business reinvention, bringing together any AI, any data, and any workflow. Serving 85% of the Fortune 500, it fosters an AI-native culture where technology and talent are unstoppable together.
Design, build, and improve machine learning training and inference pipelines for AI-driven music experiences.
Apply machine learning and prompt engineering across complex ML pipelines to support large language model features.
Create evaluation frameworks with LLM-as-judge pipelines to measure quality and enable rapid iteration.
Spotify is a digital music service that provides access to millions of songs. With over 700 million monthly active users, Spotify fosters a culture of innovation and collaboration, prioritizing artist-first principles in its AI music lab.
Own the architecture for AI-powered security automation across cyber defense, from threat intelligence to incident response.
Unify internal telemetry, asset data, and external intelligence into defender-ready systems that scale operations.
Build and grow a high-caliber engineering team, enabling security practitioners to extend automation themselves.
ServiceNow is an AI platform company that helps 85% of the Fortune 500 integrate AI, data, and workflows. Founded on the idea of freeing people from busywork, it fosters an AI-native culture where technology and talent are unstoppable together.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
Lead the architecture and direction of a group of Forward Deployed Engineers building autonomous intelligence systems.
Translate customer use cases into precise specifications and direct AI agents to generate production code.
Engineer context for reliable agent output and verify code correctness, security, and maintainability.
ServiceNow provides an AI platform for business reinvention, automating workflows to free people from busywork. They serve 85% of the Fortune 500 and foster an AI-native culture where technology and talent are unstoppable together.
Lead and mentor a team of software engineers building agentic AI integrations.
Drive technical strategy for multi-agent systems and protocols like MCP and A2A.
Collaborate cross-functionally to embed AI capabilities across Atlassian's ecosystem.
Atlassian builds software products that help teams collaborate and unleash their potential. They are a global company with a diverse workforce and a culture focused on innovation and teamwork.
Lead the development of the AIOS Agent SDK, forming the foundation for world-class agents across the company.
Own agent architecture, model strategy, evals, and production reliability for AI systems handling $100k daily revenue.
Build and scale the applied AI team, setting technical direction and ensuring safe, compliant agent operations.
AIOS is building the world’s first full-stack AI doctor, serving 150k patients monthly via Bolt Pharmacy in the UK. They are a profitable, fast-growing startup with $350M ARR and a founder-led culture of intense execution.
Design and build the AI layer of Hume, focusing on its core AI component, Hume Maestro, from the ground up.
Actively contribute to the codebase, setting the standard for technical excellence and scalability.
Collaborate with product and science stakeholders to align technical execution with product vision.
Neo4j is the graph intelligence platform that helps organizations transform data into knowledge for intelligent applications and AI systems. The company is trusted by 84 of the Fortune 100, has raised over $600M in funding, and has a culture that values relationships, inclusiveness, and innovation.
Drive the product vision and strategy for agentic AI experiences across the portfolio.
Design and deliver AI-native products with a focus on reliability, trust, and production-grade quality.
Own product adoption, growth metrics, and continuous discovery to deliver measurable customer value.
Magnet Forensics develops digital investigative software for law enforcement and cybersecurity. With thousands of customers globally, the company fosters a supportive culture focused on learning and integrity.
Lead the technical vision and roadmap for the ML platform.
Partner with Product and Engineering leadership to align investments.
Establish MLOps practices and optimize large-scale model training and serving.
The hiring company builds machine learning platforms and MLOps solutions for large-scale AI development. It offers a collaborative and specialized environment with a focus on technical excellence and innovation.
Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
Develop AI-assisted methods for classifying, summarizing, and quality-checking Zero Trust assessment data.
Prototype analytical capabilities to identify maturity trends and implementation anomalies.
Integrate approved AI services with existing data and automation workflows using secure interfaces.
True Zero Technologies is a veteran-owned small business that enables people and technology to improve organizational outcomes. Recognized as a Best Places to Work honoree and on the Inc. 5000 list, it fosters a community of driven innovators committed to top-tier services and a people-first culture.
Drive ML strategy and roadmap for recommendation and matching systems.
Architect high-scale ML systems for real-time intent prediction and candidate ranking.
Provide org-wide technical leadership and mentor ML engineers across teams.
ZipRecruiter is a leading online employment marketplace powered by AI-driven smart matching technology. The company actively connects millions of businesses and job seekers and has the #1 rated job search app on iOS & Android.
Define architecture and technical strategy for highly scalable AI systems.
Lead complex model serving and inference initiatives while optimizing performance and cost.
Mentor senior engineers and influence cross-functional AI strategy and product direction.
The company builds critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a fast-growing organization with a collaborative, fast-moving culture where engineers have meaningful influence on architecture and product direction.
Own the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization.
Lead end-to-end execution of complex, cross-functional ML initiatives, from problem framing through production impact, ensuring alignment with business goals.
Mentor and develop engineers, providing technical guidance and raising the overall bar for ML and software engineering excellence.
Lime is the largest global shared micromobility business, on a mission to build a future where transportation is shared, affordable, and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership.