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About the role

We're looking for a senior product designer who's spent years building software. You'll design core product experiences across web and mobile, working directly with engineers and researchers from the earliest stages of a project through launch.

What you'll do

• Own major product surfaces end-to-end: concept, flows, interaction, visual polish, ship

• Invent interaction paradigms for things that haven't existed before and make those new paradigms legible and fun

• Use research, experimentation, analytics, and user feedback to understand what people need and where products can improve.

• Prototype constantly, in Figma and in code — tools like Claude and Cursor should be part of your workflow

• Partner directly with engineering and research to refine interactions, iterate quickly, and ship high-quality work.

You might be a fit if

• You've spent the last decade designing software people love to use.

• You're comfortable moving between interaction design, visual design, and product thinking.

• You enjoy working closely with engineers.

• You agree that good work often emerges out of many rounds of iteration. You explore wildly, are always ready to kill your darlings, and rework ideas until something clicks and feels correct.

• You'd rather prototype than make a presentation.

• Work > ego

Logistics

• Full-time. Ideally San Francisco or New York, but PST/EST hours ok.

• Compensation: $200,000–$285,000 + benefits

To apply

A portfolio is required. We care much more about what you've made than where you've worked; if this sounds like you, apply even if you don't check every box.

About the role

We're looking for a Product Designer to help build out experiences across Midjourney projects.

You'll work closely with design and engineering to design and ship everything from product launches and feature pages to marketing moments and entirely new experiences.

This is a hands-on role. We expect you to be as comfortable refining typography and layout as you are shipping a page. If your favorite part of the job is making beautiful things that people actually use, keep reading.

What you'll do

• Design and build products from concept through launch.

• Work closely with design and engineering on new features and launches.

• You care about the details—typography, layout, motion, responsiveness, loading states, and performance—that make an experience great.

• Contribute visual assets for marketing.

• Prototype ideas quickly using Figma, Claude, Cursor, and whatever tools helps move the work forward.

You might be a fit if

• You have 2–4 years of experience designing and building for the web.

• You move fluidly across the full design process, from early concept through final production.

• You have an instinct for the details that make interfaces feel considered: type, spacing, motion, and how they all work together.

• You know enough HTML and CSS to work effectively with engineers—or to build parts of the experience yourself.

• You're comfortable using tools like Claude Code and Cursor as part of your workflow.

• You'd rather prototype than make a presentation.

• Work > ego

Logistics

• Full-time.

• Hybrid in San Francisco or New York.

• Compensation: $172,572–$195,220 + benefits.

To apply

A portfolio is required.

About the role

We're looking for a talented visual designer to shape how Midjourney shows up in the world. We are looking for someone with a fresh, opinionated, and high-quality design foundation who can create work that feels distinct, not what’s now but what’s next.

You'll partner closely with the leadership on campaigns and visual storytelling across earned and owned channels. This is a freelance engagement with potential for a long-term partnership as the work (and team) grows.

What you'll do

• Design campaign visuals: ads, social, launches — from concept through finished assets

• Bring editorial design sensibility to our owned channels: email/welcome series, blog, campaign imagery

• Develop visual systems that are expressive rather than corporate

• Partner with marketing on what earned and owned should look and feel like

• Collaborate async with a small, fast-moving team

You might be a fit if

• You're a senior IC — roughly 5–8 years in — with a portfolio of expressive, culturally fluent graphic design: editorial, campaigns, identities across print and digital

• Typography and composition are your first language

• You can direct as well as execute: you've shaped campaigns, not just produced assets for them

• You're plugged into visual culture across art, fashion, publishing, music, and the internet

• You work well remote and independently

Nice to have

• Editorial/publication experience (print or digital magazines)

• Motion or illustration

• You already make things with generative tools

Logistics

• Freelance/contract, part-time to start, with room to grow

• Fully remote, anywhere. No travel required (though you're always welcome in SF)

To apply

Send your portfolio. We care about taste, range, and point of view.

About the job

We don't think the future should look like yesterday's software. Our design team works across research, engineering, and product to make new capabilities feel intuitive, fun to use, and deeply human.

We're looking for a Design Lead to help lead that effort.

You'll partner closely with our Chief Design Officer to shape the future of Midjourney's products while building and leading the product design team.

This isn't a traditional management role. You’ll spend meaningful time designing, prototyping, reviewing work, and solving difficult product problems alongside your team. Most days you will be helping exceptional designers do the best work of their careers by building with them. If your favorite part of leadership is modeling what good looks like by collaborating and getting your hands dirty with your team, you’ll probably enjoy it here.

What you'll do

• Work closely with the Chief Design Officer to shape the direction of Midjourney's products.

• Recruit, mentor, and lead the product design team.

• Stay close to the work by designing key product experiences and helping teams solve their hardest design problems.

• Partner closely with engineering and research to turn new tech into intuitive product experiences.

• Establish design reviews and operating rhythms that help the team do its best work.

• Ensure a coherent experience across Midjourney's growing portfolio of products.

You might be a fit if

• You've spent the last decade designing software people love to use.

• You've led design teams, but you still want to be in Figma every day.

• You're as comfortable thinking through product strategy as you are refining a single interaction.

• You work well with engineers and like building things that don't have established playbooks.

• You care about craft and iterate until something feels right.

• You're comfortable using tools like Claude Code and Cursor as part of your workflow.

• You believe the best work comes from showing work early and often, and collaboratively iterating on unfinished work

• You're excited by the idea that AI requires entirely new interaction paradigms, not just new features.

• Work > ego

• Prototypes > presentations

Logistics

• Full-time. San Francisco Hybrid.

• Compensation: $285,000–$350,000 + benefits

To apply

A portfolio is required.

We care much more about what you've made than where you've worked. If this role excites you, we'd love to hear from you—even if you don't check every box.

About the job

Most of the products we build don't have obvious precedents. We need a QA practice that helps us understand how they'll behave in the real world, identify problems early, and ship with confidence.

You'll work closely with product, design, and engineering throughout development, helping teams identify problems early and ship with confidence.

This isn't a role where you'll spend your days executing checklists. We expect you to think critically about how products behave, investigate difficult issues, improve how we test software, and go deep on the projects that matter most. If your favorite part of the job is making products noticeably better—and helping everyone around you build with more confidence—you'll probably enjoy it here.

What you'll do

• Partner closely with product, design, and engineering throughout the development process.

• Stay close to the work by leading testing efforts on our most important product initiatives.

• Go deep on difficult problems—whether that's investigating a difficult bug, identifying edge cases, improving test coverage, or helping a team understand how a product behaves in the real world.

• Design thoughtful test plans and identify issues before they reach users.

• Help improve how we test software through better tooling, automation, and testing practices.

• Reproduce issues, identify root causes, and verify fixes before release.

You might be a fit if

• You've spent the last several years testing software people actually use.

• You enjoy understanding how products behave, not just whether they work.

• You're as comfortable investigating a subtle bug as you are thinking through an entire user flow.

• You work well with designers, engineers, and product managers.

• You care about quality and believe the best testing happens throughout development, not just before a release.

• Tools like Claude Code and Cursor are part of your workflow.

• You're excited by products that don't have established playbooks.

• Work > ego

Logistics

• Full-time.

• SF or NY Hybrid.

• Compensation: 100,000–$125,000 + benefits.

To apply

A resume is required.

About the job

Most of the products we build don’t have obvious precedents. We need product managers who can help teams navigate that uncertainty, make decisions, and turn ambitious ideas into products people can actually use.

We’re looking for a Product Manager to help lead that effort.

You’ll work closely with design, engineering, and research throughout the product development process, using tools like Claude Code to prototype concepts. You’ll help teams stay organized, make thoughtful decisions, and move projects from early ideation to launch.

This is a hands-on role. Some days you’ll be writing product specs, running standups, and coordinating launches. Other days you’ll be interviewing users, reviewing prototypes, or digging into product questions that need deeper investigation. If you enjoy bringing structure to creative work and making it easier for great teams to do their best work, you’ll probably enjoy it here.

What you’ll do

• Own the execution of major product initiatives.

• Partner closely with design and engineering from early exploration through launch.

• Write product requirements, manage backlogs, and keep projects moving.

• Facilitate planning, standups, reviews, and comms between teams.

• Help teams make informed decisions through UXR, research, and using Midjourney deeply yourself.

• Go deep on important product questions when needed, whether that means conducting user research, designing experiments, or working through a difficult product tradeoff.

• Help teams decide what matters most and make smart choices about quality, scope, and speed.

You might be a fit if

• You’ve spent the last several years building software people love to use.

• You know how to create structure without weighing a team down.

• You’re as comfortable writing a product spec as you are talking to users or reviewing a prototype.

• You have a point of view, but care more about getting the product right than being right.

• Using Claude Code and Cursor are part of your workflow.

• You’re excited to build products that don’t come with established playbooks.

• Work > ego

Logistics

• Full-time. SF Hybrid.

• Compensation: $185,000-225,000 + benefits.

What you’ll do

1. Own the tissue-class segmentation and labeling models for the ultrasound CT clinical analysis layer, and the pipelines that make them trainable and verifiable.

2. Retune across 2D per-slice, 3D volumetric, and 2D×3D fusion as reconstructed image inputs are continuously updated, and clinical indications for use expand.

3. Define training/evaluation pipelines, datasets, and metrics from the ground up or from open source; map model behavior to user needs and design requirements.

4. Work with data labeling contractors, expert clinicians, and our internal cloud/data teams on labeling specs, QC, and dataset versioning.

5. Help productionize models into a versioned, HIPAA-bound analysis service: reproducible/low-latency inference, per-prediction confidence, drift monitoring, and safe fallbacks.

What we’re looking for

• Strong applied ML experience with a track record of developing new models — architecting, training, and evaluating from scratch as well as benchmarking against existing models.

• Experience with image segmentation (semantic/instance, 2D and ideally 3D/volumetric) and the modeling and training-data choices that make it robust across diverse patient anatomy.

• Comfortable moving fluidly between open-ended research iteration and producing quantifiable, testable models.

• Fluent in modern deep-learning tooling (e.g., PyTorch) and current development practices.

• Comfortable working under design controls, where model changes carry documentation and verification weight.

Useful experience

• Image segmentation and label generation with modern architectures (U-Net / nnU-Net, 3D U-Net, transformer-based and promptable segmentation like SAM), including the geometry that ties voxel- and mesh-level predictions back to a coordinate frame.

• Learning under limited or noisy supervision: self-supervised / semi-supervised methods (masked autoencoders, contrastive pretraining like DINO/SimCLR), active learning, weak labels, and simulation-driven pretraining.

• Hands-on experience with data curation for ML: building datasets from messy, real-world sources, helping to define ground truth, and managing labeling or simulation pipelines (MONAI, ITK / SimpleITK, 3D Slicer).

• Experience with segmentation models for ultrasound imaging, whether on synthetic or real images

• ML for imaging or inverse problems in physics-based domains (CT, MRI, ultrasound, or adjacent), and comfort working alongside reconstruction/signal-processing teams.

• Deploying models in versioned, auditable, high-stakes settings.

• A background in anatomy, medical imaging, or body composition and prior work with existing segmentation models is a plus.

What you’ll do

1. Act as the in-house electrical lead for Midjourney Medical: own the electrical architecture of the scanner and the technical direction for all board-level design.

2. Own complex board design end-to-end: architecture, schematic capture, layout (high-speed digital, analog/mixed-signal, power), DFM/DFT, fabrication and assembly vendor management, bring-up, and revision control.

3. Write firmware for embedded targets (MCU/SoC): drivers, real-time control loops, safety-relevant logic, bootloaders, and field update paths.

4. Audit and update HDL (FPGA) code for high-throughput data acquisition, timing/synchronization, triggering, and pre-processing of ultrasound and sensor data streams.

5. Define electrical interfaces and data contracts with software, recon/ML and mechanical teams: timing budgets, clocking/sync, signal integrity, connectors/harnessing, and failure modes.

6. Establish electrical engineering rigor: design reviews, schematic/layout review checklists, bring-up procedures, test fixtures, and documentation suitable for a regulated medical device program (DHF, traceability, change control).

7. Mentor and grow the electrical function; select and manage external design partners where leverage is high.

What we’re looking for

• Deep experience designing complex boards from blank page to stable revision, including high-speed digital and analog/mixed-signal domains.

• Strong schematic and layout skills (Altium/KiCad or equivalent) with real signal integrity, power integrity, grounding, and EMI/EMC instincts.

• Solid embedded firmware background in C/C++ (and Python for tooling): peripherals, DMA, interrupts, real-time constraints, and debugging on hardware.

• Practical HDL experience (VHDL/Verilog/SystemVerilog) for data acquisition, timing, and streaming interfaces.

• Track record of owning bring-up and debug on real hardware: scopes, logic analyzers, and disciplined root-cause analysis.

• Technical leadership: clear trade-offs, strong written documentation, and the ability to set the electrical bar for a lean, fast-moving team.

Useful experience

• Ultrasound, imaging, instrumentation, or other high-channel-count data acquisition systems (ADC/AFE front ends, transducer interfacing, pulser/receiver design, low-noise analog).

• FPGA-to-host high-bandwidth data paths (10/25/100G Ethernet, serial transceivers) and deterministic multi-board synchronization.

• Power electronics and power distribution for complex electromechanical systems: rail architecture, sequencing, isolation, and thermal considerations.

• Safety-critical or medical device electronics: interlocks, isolation and leakage requirements, IEC 60601-adjacent design practice, and design controls.

• Manufacturing and serviceability thinking: DFM/DFT, ICT/functional test fixtures, calibration flows, yield and field-failure analysis.

• Building an electrical function from scratch: tooling, libraries, part standardization, ECO process, and vendor ecosystem.

• Familiarity with high-performance computing systems.

What you’ll do

1. Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability.

2. Own core runtime foundations: distributed control, state management, fault handling, and reliability.

3. Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes.

4. Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints).

5. Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes.

6. Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress.

What we’re looking for

• Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products.

• Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering).

• Track record of shipping systems that are observable, debuggable, and resilient.

• Strong technical leadership: clarity, pragmatic trade-offs, and mentoring.

Useful experience

• Building but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling.

• High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review.

• Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior.

• Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI.

• Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.

What you’ll do

1. Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably.

2. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls.

3. Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility.

4. Implement security + compliance primitives appropriate for HIPAA/PHI: encryption in transit/at rest, key management, least privilege, audit logs, and access reviews.

5. Build operational tooling: monitoring, alerting, runbooks, and incident-driven improvements for a growing device fleet.

What we’re looking for

• Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability.

• Experience shipping production systems that handle large data volumes and failure-prone networks.

• Practical security mindset (least privilege, secrets, audit logging) and comfort operating in compliance-constrained environments.

Useful experience

• Building reliable data pipelines at scale (queues/orchestration, resumable uploads, GPU batch execution) with strong observability.

• Security + privacy by default: encryption, least-privilege access, auditing, and practical HIPAA/PHI guardrails.

• Owning the “boring” backend details that keep a lean team moving: schemas/migrations, cost controls, retries, and runbooks.

• Understanding compute tradeoffs across hardware options, and specifying appropriate cloud resources.

What you’ll do

1. Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy.

2. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements.

3. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks.

4. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation.

5. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes.

What we’re looking for

• Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains.

• Ability to move fluidly between research prototypes and production-quality systems.

• Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility.

• A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.)

Useful experience

• ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints.

• Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts.

• A background in computational physics or scientific computing.

• Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging.

• Experience in Agentic-SciML is a plus.

• Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines.

• Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

We’re building the world’s first full-body ultrasound CT scanner and the spa experience that brings it to billions. If you think you can help, we want to hear from you.

Send us your resume and a brief description of how you think you might be able to help!

What you'll do

1. Run human-subjects recording sessions end-to-end: participant prep and fitting, sensor configuration and calibration, stimulus delivery, real-time signal monitoring, and session documentation.

2. Own daily system QC for a one-of-a-kind sensing instrument: baseline noise recordings, per-sensor health checks, log review, and escalation of anomalies before they touch a dataset.

3. Own participant operations: recruitment coordination, scheduling, screening, consent, and compliant handling of participant records.

4. Stand up and maintain the operational backbone of the program: SOPs for acquisition, QC, and participant workflows — documentation that survives you.

5. Handle first-pass data operations: file conversion, organization, metadata, and quality review in Python.

6. Partner daily with the program lead to refine acquisition protocols and improve system performance over time.

What we're looking for

• Hands-on experience acquiring physiological or imaging data from human participants in a clinical or research setting

• Obsessive consistency and attention to detail: you notice when something is off and you don't let it slide.

• Professional, patient, and calm with research participants — sessions succeed or fail on how people feel in the room.

• Basic scripting ability (Python and/or shell) for QC and data-handling tasks, or clear aptitude and motivation to build it.

• High ownership of the unglamorous parts: scheduling, documentation, tidy data hygiene.

• Discretion — parts of this program are not yet public. We'll walk you through the specifics, including the exact technology you'd be operating, in the first conversation.

Useful experience

• Controlled or low-noise recording environments and highly sensitive instrumentation.

• Physiological signal-processing tools in Python.

• Human-subjects research administration (IRB protocols, consent workflows).

• Research studies involving structured tasks or sensory protocols with human participants.

What you'll do

We're looking for a Senior Mechanical Engineer for Midjourney Medical — from precision electromechanical assemblies up to the large-scale structures and mechanisms that hold everything together and make it move. This role spans the full range of scale: one week you might be refining a compact transducer mount, the next you're architecting a structural frame or designing the motion system that positions hardware within it.

This is a hands-on role on a small cross-functional team. You'll take problems from whiteboard sketch to working hardware yourself — designing in CAD, prototyping in the shop, testing, iterating, and integrating with research teams, electrical and software engineers along the way. We move fast and expect you to drive your own work: identifying what needs to happen next, making sound engineering calls without waiting for permission, and shipping hardware that works.

• Own parts of the mechanical systems end to end — structures, mechanisms, and electromechanical integration

• Design large-scale structures: frames, weldments, enclosures, and support systems, with attention to stiffness, weight, manufacturability, and serviceability

• Design mechanisms: linkages, motion stages, actuation systems for precise, reliable positioning and articulation

• Integrate transducers, electronics, cabling, and thermal management into large physical systems

• Perform engineering analysis (tolerance stack-ups, structural/FEA, mechanism kinematics) to de-risk designs before committing to hardware

• Build and test relentlessly — 3D printing, rapid prototyping, and hands-on fabrication are core to how you'll validate designs

• Select parts and materials for system-level integration, balancing performance, cost, and lead time

• Drive projects independently from concept through validation, and collaborate closely with a small cross-disciplinary team to hit project goals

What we're looking for

• Bachelor's degree in Mechanical Engineering or a related field

• 5+ years of experience designing and shipping electromechanical hardware

• Demonstrated track record in mechanism design — you can point to mechanisms you've designed that work reliably in the real world

• Experience designing larger-scale structures (frames, gantries, enclosures, or similar), not just component-level parts

• Proficiency in CAD (we use OnShape) for design, optimization, and system integration

• Strong rapid-prototyping experience — this is a must; you should be as comfortable in the shop as at your desk

• Background in R&D environments where the problem isn't fully defined and the path forward is yours to figure out

• Excellent creative problem-solving and analytical skills

• Experience working closely with a small cross-disciplinary team

What You'll Do

Midjourney is seeking physicists to develop revolutionary quantum hardware technologies.

What We're Looking For

• Multiple years of experience working in experimental quantum physics (Ph.D.-level or similar)

• Proficiency in the design, implementation, and troubleshooting of experiments

• Hands-on experience with laser-based optical measurements

• Ability to work on-site (up to five days/week) in the San Francisco Bay Area

• Given the nature of the work, U.S. citizenship is required.

Useful Experience:

• Broad familiarity with quantum computing and/or sensing platforms

• Track record of delivering cutting-edge systems that work outside the lab

• Strong physical intuition about fundamental signal origins and noise sources

• Hands-on experience with optics, optoelectronics, photodetectors, and optical fibers

• Familiarity with next-generation photonic technologies

• Experience inventing new tools and processes to address experimental challenges

• Proficiency using the latest AI tools to accelerate workflow

• Excellent data visualization and presentation skills

What You'll Do

Physical scientist/engineer to take responsibility for testing and validation of novel hardware systems

What We're Looking For

• Hands-on laboratory experience and the ability to work independently

• Familiarity with test and measurement equipment including: oscilloscopes, lock-in amplifiers, spectrum analyzers, PID controllers, etc.

• Proven diagnostic and troubleshooting skills, coupled with the drive to understand experimental results fully before proceeding

• Diligent record-keeping habits and facility with Python/Matlab/equivalent for data analysis and visualization

• Ability to work on-site (up to five days/week) in the San Francisco Bay Area

• Given the nature of the work, U.S. citizenship is required.

Useful Experience

• Background in experimental physics, particularly in quantum or optical measurements

• Hands-on EE design and manufacturing experience: analog and digital electronics, board layout, soldering, etc.

• Excellent data presentation skills

• A desire to learn new skills outside your current area of expertise

• Proficiency using the latest AI tools to accelerate workflow