Midjourney

Jobs at Midjourney

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Recently posted jobs

Artificial Intelligence • Generative AI
Lead development of ML components for medical image reconstruction: define training/evaluation pipelines and metrics, productionize models (inference performance, monitoring, safe fallbacks), collaborate on hybrid physics-ML algorithms, and build tooling for experimentation and rigorous verification.
3 Hours AgoSaved
In-Office or Remote
7 Locations
Artificial Intelligence • Generative AI
Lead architecture and core runtime foundations for a distributed scanner platform, driving reliability, observability, performance, and engineering rigor while collaborating with hardware and ML teams and mentoring engineers.
3 Hours AgoSaved
Remote or Hybrid
7 Locations
Artificial Intelligence • Generative AI
Lead execution of major product initiatives for AI-first, precedent-free products. Collaborate with design, engineering, and research; write product requirements, manage backlogs, run standups, conduct user research, prototype with Claude Code, and drive projects from ideation to launch.
3 Hours AgoSaved
Remote or Hybrid
7 Locations
Artificial Intelligence • Generative AI
Lead and grow Midjourney's product design team while actively designing and prototyping. Partner with the Chief Design Officer, engineering, and research to create coherent, intuitive AI-driven product experiences, run design reviews, recruit and mentor designers, and establish team operating rhythms.
3 Hours AgoSaved
In-Office or Remote
7 Locations
Artificial Intelligence • Generative AI
Hands-on electrical engineer responsible for system integration, bring-up, debugging, and reliability of an ultrasound scanner. Lead transducer characterization experiments, acquire and analyze RF/baseband data, design simple PCBs/adapters, prototype and harden wiring/grounding/safety, and create repeatable test fixtures, scripts, and documentation to support imaging reconstruction and device validation.
3 Hours AgoSaved
In-Office or Remote
7 Locations
Artificial Intelligence • Generative AI
Design and implement secure, resumable cloud pipelines to ingest multi-terabyte medical imaging data; build GPU-accelerated orchestration with strong retry semantics and cost controls; define data lifecycle and retention; implement HIPAA/PHI security and compliance controls; and deliver operational tooling (monitoring, alerting, runbooks) for a device fleet.