The Role
As a Creative ML Technologist, you will develop and evaluate model-driven workflows, run experiments, measure outcomes, create integrations, and document processes for generative and perception models.
Summary Generated by Built In
At Parallel Domain, we believe that autonomous systems – from self-driving cars to contactless delivery drones – have the opportunity to drastically improve the quality of life for billions of people. That is why we love what we do: enabling our customers to develop their technology safely using the Parallel Domain simulated testing platform. Our software changes the way our customers test their systems, accelerating their ability to deploy safe and reliable AI. We're looking for people like you to join us in pushing the boundaries of artificial intelligence and simulation.
We are looking for a Creative ML Technologist to prototype and evaluate ComfyUI workflows that combine diffusion (GenAI) with perception (vision) to enable generative editing and synthesis. You’ll turn ambiguous creative goals into reproducible graphs that product and engineering can adopt quickly.
What You'll Do
- Compose workflows: Build focused ComfyUI graphs that chain perception and diffusion steps to answer product questions.
- Integrate new models: Author/extend custom ComfyUI nodes in Python and create wrappers for new open-source models.
- Measure & compare: Produce side-by-side results with qualitative examples (paired frames) and simple, meaningful metrics to guide decisions.
- Scan & triage the model landscape: Track new diffusion and perception releases, curate a weekly shortlist, and convert promising ones into ComfyUI nodes for quick A/B tests.
- Document & hand off: Provide inputs, controls, expected artifacts, and failure modes with runnable .json graphs and enough version info for others to reproduce and extend.
- Collaborate & iterate: Partner with creative users to calibrate taste and with engineering to productionize proven workflows.
What you’ll bring:
- Portfolio: 2–3 ComfyUI graphs you authored (.json + screenshots) and at least one custom node or wrapper.
- ComfyUI depth: Experience structuring multi-step graphs and keeping them readable and reusable.
- Diffusion & perception know-how: Practical use of diffusion conditioning (e.g., ControlNet/IP-Adapter), perception tasks (segmentation, matting, depth), and sampler/scheduler trade-offs.
- Python: Strong scripting and ability to write/extend ComfyUI nodes.
- PyTorch (basic): Can read and lightly modify model code when needed.
- Evaluation & communication: Clear write-ups of experiments and decisions with reproducible artifacts.
- Model-scouting habit: You stay current on new perception/diffusion models and can recommend/justify trials with an integration plan in ComfyUI.
What will help you stand out:
- Training experience: Lightweight adapter training (e.g., LoRA) when it improves quality or speed.
- 3D Reconstruction: Advanced reconstruction pipeline experience (SfM, Gaussian splatting).
- VFX/Games exposure: Understanding of production pipelines and cross-functional collaboration.
How to apply
- “Please include links to your graphs (.json + screenshots) and one custom node/wrapper (code link).”
Why join Parallel Domain?
We are assembling a team of creative, talented visionaries seeking to build a new technology that will change the world. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.
To attract and inspire the right talent, we offer:
• Competitive compensation
• Employer-paid supplemental medical, mental health, dental, and vision benefits.
• Flexible paid vacation, sick time, winter shutdown, and 11+ holidays per year
• Paid parental leave
• Equipment budget to optimize your setup
• Annual learning and development stipend
Parallel Domain celebrates diversity and is committed to creating a safe and inclusive environment for all our people. We are committed to providing employees with an environment free of discrimination, bullying and harassment. All employment decisions at Parallel Domain are based on business needs, job requirements and individual qualifications. We will maintain our commitment to and support of equal employment opportunity for all individuals without regard to race, national/ethnic origin, colour, religion, age, sex (including pregnancy), sexual orientation, gender identity/expression, marital status, family status, genetic characteristics or physical/mental disability. Our commitment extends to any other protected classes which may exist under applicable law.
Top Skills
Comfyui
Python
PyTorch
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The Company
What We Do
Training and testing autonomous systems in the real world is a slow, expensive and cumbersome process. Parallel Domain is the smartest way to prepare both your machines and human operators for the real world, while minimizing the time and miles spent there. Connect to the Parallel Domain API and tap into the power of synthetic data to accelerate your autonomous system development.
Parallel Domain works with perception, machine learning, data operations, and simulation teams at autonomous systems companies, from autonomous vehicles to delivery drones. Our platform generates synthetic labeled data sets, simulation worlds, and controllable sensor feeds so they can develop, train, and test their algorithms safely before putting these systems into the real word.
#syntheticdata #autonomy #AI #computervision #AV #ADAS #machinelearning
