Model Deployment

Expedia Group

Seattle, WA · $184,500 – $258,000

Senior machine learning engineer building and optimizing the systems that connect travel supply, pricing, and inventory across Expedia's global marketplace. This role suits experienced ML engineers who can design production systems, mentor others, and own features end-to-end from modeling through deployment and operations.

Listed on Expedia Group’s careers site · Apply there ↗

Shield AI

Full-time · Washington, DC · $163,200 – $244,800

This role involves building and deploying machine learning models for autonomous systems, focusing on computer vision and vision-language capabilities. It suits engineers who want to move cutting-edge AI research into production systems while working cross-functionally with researchers and autonomy teams.

Listed on Shield AI’s careers site · Apply there ↗

Palantir

Full-time · Seattle, WA · $145,000 – $200,000

This role focuses on building and deploying AI models and agents optimized for resource-constrained tactical hardware in defense applications, requiring expertise in LLMs, edge computing, and systems integration. It suits engineers with experience in AI systems, hardware optimization, and a background working on specialized deployments.

Listed on Palantir’s careers site · Apply there ↗

MovieMagic

Tempe, AZ

Entertainment Partners is hiring a senior AI engineer to develop and deploy machine learning models and AI systems for its entertainment technology products. This role suits someone with strong PyTorch and transformer expertise who can move models from research through production while maintaining software engineering rigor.

Listed on MovieMagic’s careers site · Apply there ↗

Deepgram

USA | Remote · $150,000 – $220,000

This role bridges research and production at Deepgram's Voice AI platform, owning the pipeline that turns speech models from research notebooks into reliable, scaled services. It suits engineers who thrive at the intersection of ML systems and infrastructure, comfortable optimizing for both researcher productivity and production performance.

Listed on Deepgram’s careers site · Apply there ↗

Sigma Computing

Full-time · San Francisco, CA · $240,000 – $270,000

Sigma is hiring an AI/ML Engineer to build the foundation systems powering AI features across their cloud data platform, including recommendations, natural language interfaces, and agentic workflows that will be used by thousands of enterprise customers. This role suits experienced ML practitioners who have shipped production systems and want to work at a well-funded, fast-growing company applying AI to business intelligence and data exploration.

Listed on Sigma Computing’s careers site · Apply there ↗

Pendo

New York, NY · $245,000 – $275,000

A staff-level role building production AI systems and LLM-powered features for a product intelligence platform. This suits experienced AI engineers who thrive designing end-to-end systems, making model strategy decisions, and collaborating across product and engineering to ship user-facing AI products.

Listed on Pendo’s careers site · Apply there ↗

Agility Robotics

Full-time · Fremont, CA · $207,000 – $323,000

This role leads the development of computer vision and machine learning systems for object detection and tracking on deployed humanoid robots in logistics and manufacturing environments. It's ideal for an experienced ML engineer with a strong robotics background who wants to own the technical architecture of perception systems operating in real-world production settings.

Listed on Agility Robotics’s careers site · Apply there ↗

CharacterAI

Redwood City, CA · $150,000 – $300,000 · Remote

This role focuses on building scalable backend systems and applying machine learning to detect and prevent safety risks on an AI platform where users interact with characters. It suits engineers with deep expertise in distributed systems and ML who want to lead technical strategy on emerging AI safety challenges.

Listed on CharacterAI’s careers site · Apply there ↗

Pendo

Full-time · New York, NY · $209,000 – $235,000

This role builds AI-native products for a product intelligence platform, combining LLM systems with full-stack engineering to ship user-facing features from prototype to production. It suits experienced engineers who excel at navigating technical ambiguity, making principled architectural choices, and partnering with product teams to define what should be built.

Listed on Pendo’s careers site · Apply there ↗