V-Ray

Confido

New York, NY · $210,000 – $300,000

Be the founding owner of the ML platform that turns Confido's AI models and agents into reliable, cost-efficient production systems handling hundreds of thousands of documents. You'll own the end-to-end pipelines, cloud infrastructure, and serving layer that lets the AI team ship fast while managing heavy LLM workloads at scale.

Listed on Confido’s careers site · Apply there ↗

Torc Robotics

Full-time · Remote - US · $177,300 – $212,800

Torc is hiring a senior machine learning engineer to develop and deploy production tracking systems for autonomous trucks, focusing on multi-object tracking, sensor fusion, and state estimation across camera, LiDAR, and radar inputs. This role suits experienced ML practitioners who want to apply deep learning and robotics expertise to real-world autonomous vehicle challenges at scale.

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

Anyscale

San Francisco, CA · $240,000 – $270,000

This role owns the core architecture and development of Ray Data, a distributed data processing engine that underpins AI workloads at scale. It suits experienced systems engineers comfortable defending tradeoffs between competing technical approaches and solving problems across scheduling, fault tolerance, and performance optimization.

Listed on Anyscale’s careers site · Apply there ↗

Reddit

Full-time · Remote - United States · $292,500 – $409,500

Reddit seeks a senior technical leader to establish the strategic direction for their ads ML platform's engineer lifecycle, from feature development through model deployment. This role suits someone with deep systems and production ML expertise who can drive cross-team initiatives and mentor senior engineers.

Listed on Reddit’s careers site · Apply there ↗

Live Nation Entertainment

Contract

This role combines 3D rendering and experiential design expertise to create compelling branded environments for Live Nation's festival activations and events. You'll translate creative briefs into detailed visualizations and spatial designs that balance artistic vision with real-world production constraints.

Listed on Live Nation Entertainment’s careers site · Apply there ↗

KLA-Tencor

Milpitas, CA · $136,300 – $231,700

KLA is hiring a systems software engineer to design and operate large-scale AI infrastructure supporting model training, inference, and emerging agentic systems across the company. This role combines platform engineering, MLOps, and DevOps expertise, ideal for someone who wants to architect scalable compute environments and bridge hardware, software, and AI workloads.

Listed on KLA-Tencor’s careers site · Apply there ↗

XPeng

Full-time · Santa Clara, CA · $125,580 – $212,520

This role manages the technical program for XPeng's autonomous-driving training data infrastructure, overseeing data collection, processing, and delivery at scale across multiple engineering teams. It suits someone with substantial experience in cross-functional program management who understands large-scale data systems and can coordinate complex initiatives across distributed teams.

Listed on XPeng’s careers site · Apply there ↗

Terran Orbital

Full-time · Irvine, CA · $70,000 – $110,000

This role creates visuals and 3D animations for a satellite manufacturer's marketing, proposals, and internal communications. It suits designers who excel at translating complex aerospace engineering into compelling multimedia and can work independently on fast-paced projects.

Listed on Terran Orbital’s careers site · Apply there ↗

Crusoe

Full-time · New York, NY · $155,000 – $200,000

This role involves helping enterprise customers successfully deploy AI and machine learning workloads on Crusoe's GPU infrastructure, moving from technical discovery through proof-of-concept to production launch. It's suited to cloud infrastructure engineers who want customer-facing technical responsibility and hands-on ownership of AI infrastructure challenges.

Listed on Crusoe’s careers site · Apply there ↗

Intuit

Atlanta, GA

An AI scientist position focused on developing and deploying machine learning models to power marketing and personalization features. This role suits someone with advanced training in a technical field who wants hands-on experience across the full ML lifecycle, from research through production, while collaborating closely with product and engineering teams.

Listed on Intuit’s careers site · Apply there ↗