Computer Vision Engineer $$$$

Role Description

Parallel is a technology company building advanced 3D imaging and aesthetic visualization software for modern clinics. Using breakthroughs in artificial intelligence, computer vision, and 3D modeling, our technology enables highly realistic facial and body reconstructions and visualizations of potential aesthetic procedure outcomes.

We work with forward-thinking aesthetic clinics and practitioners to improve patient understanding, strengthen trust during consultations, and help practices communicate treatment possibilities more clearly.

Our platform is designed not only to elevate the patient experience, but also to drive real business outcomes for clinics—helping them increase conversion, stand out in a competitive market, and modernize the consultation journey.

As we continue to grow, we are focused on building category-defining technology with a strong emphasis on execution, product quality, and measurable impact. We care deeply about innovation, speed, and building tools that create meaningful value for both clinics and patients.

The opportunity

Parallel is growing quickly, and we are building new products that require exceptional talent. We are looking for a Junior Deep Learning Engineer to join our team. In this role, you will work closely with engineers and product teams in a highly creative, fast-moving, and international environment.

The team

We are a product-driven engineering team focused on building ambitious technology for the future of aesthetic medicine. At Parallel, we care about strong execution, technical depth, and creating an environment where talented people can do their best work.

The role

We are looking for a junior engineer to join our Deep Learning team. You will work across the full model development lifecycle, from data generation and preprocessing to model training, experimentation, evaluation, and deployment into production.

This is a strong fit for someone who wants to grow into an engineer who can bridge research and product engineering—someone who can read a paper, understand the core idea, and help turn it into production-ready systems.

Essential requirements

• Degree in Computer Science, Engineering, Data Science, Mathematics, Physics, or another quantitative field with strong analytical foundations
• Strong understanding of deep learning fundamentals, including optimization, loss functions, backpropagation, overfitting, and regularization
• Proficiency in Python and hands-on experience with PyTorch or another major deep learning framework
• Solid engineering fundamentals, including Git, GitHub, pull requests, code reviews, command line tools, and general software development workflows
• Ability and willingness to read, understand, and implement ideas from academic research papers

Nice to have

• Experience with computer vision tasks such as image classification, segmentation, landmark detection, or related areas
• Experience with 3D reconstruction, parametric models, neural rendering, NeRFs, or Gaussian splatting
• Experience with generative models, including training, fine-tuning, or inference with diffusion models, GANs, or VAEs
• Exposure to ML infrastructure, deployment, MLOps, model serving, containerization, or CI/CD workflows for machine learning

What we offer

At Parallel, you will have the opportunity to work on technically ambitious products at the intersection of AI, 3D visualization, and aesthetic medicine. We offer a fast-paced environment, meaningful ownership, and the chance to help shape products from an early stage.

We care about helping great people grow, and we aim to provide strong mentorship, real responsibility, and an environment where learning happens quickly.

Work style

We believe flexibility matters. Depending on the role, team, and location, we support remote, hybrid, and in-person work arrangements. Our goal is to help people do their best work while maintaining a healthy and sustainable balance.