Model Observability Jobs

Lead the development and operation of Attentive’s ML platform to enable high-velocity, reliable training and low-latency serving for production ML applications.

Monarch is hiring a hands-on Infrastructure & MLOps Engineer to build and operate scalable cloud and AI infrastructure that powers their personal finance platform.

Lead the development and productionization of LLM and NLP models to power real-time, domain-specific automation for drive-through and QSR systems.

Inclusive & Diverse

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Collaboration over Competition

Growth & Learning

Lead the development of large-scale, auditable evaluations for frontier AI models to measure capabilities and steer safety decisions at OpenAI.

Experienced MLOps Engineer needed to build and operate robust ML infrastructure and CI/CD pipelines for production ML at a fast-growing digital safety company.

Lead the vision and roadmap for an enterprise LLM Observability product at Fiddler, partnering with data scientists, engineers, and customers to make AI transparent and trustworthy.

Gartner is hiring a senior AI infrastructure leader to produce influential research and advise C-level and infrastructure leaders on building scalable, secure AI platforms across cloud, on-prem and edge environments.

Dental Insurance

Disability Insurance

Vision Insurance

Equity

Paid Time-Off

Medical Insurance

Mental Health Resources

Paid Holidays

Company Retreats

Hims & Hers is hiring a Principal Machine Learning Engineer to architect and lead large-scale ML and LLM systems that power personalized treatment, real-time inference, and scalable ML platforms.

Lead backend and ML infrastructure development for Mimica's Maker product, building production ML pipelines and observability to turn recorded desktop data into automations and orchestration.

Technical Lead to design and lead development of model training, ingestion, testing, deployment and governance tooling for Wayve's ML platform.

Build and optimize high-performance inference infrastructure for large foundation models at a fast-moving, well-funded AI startup in Menlo Park.

Agentic AI Lab is looking for an experienced ML Ops Engineer to lead building secure, scalable pipelines for model training, deployment, and governance in a pioneering AI infrastructure startup.

Inclusive & Diverse

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Collaboration over Competition

Growth & Learning

Innovate at OpenAI as a full-stack Software Engineer enhancing model behavior through observability and tooling to improve AI-human interactions.