Job Description

Machine Learning Engineer – Scientific Visualisation Platform

Location: Remote (US/Canada)

Salary: $200K–$300K

Sector: Scientific AI / SaaS

We’re partnering with a pioneering SaaS company at the forefront of AI for scientific communication . Their platform is redefining how scientists present, understand, and share complex biological research—turning experimental protocols, data, and text into clear, editable visuals that accelerate discovery and decision-making.

They're now looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs . If you’re excited by real-world, high-impact problems and want to apply machine learning at the intersection of computer vision, scientific research, and design , this is your opportunity.

What You’ll Do

• Develop machine learning systems that generate structured vector graphics (e.g., SVG/JSON ) from biological and textual inputs.
• Design novel ML architectures focused on scientific diagram generation and natural language-guided editing .
• Apply the latest in generative AI , computer vision , and multimodal learning to scientific contexts.
• Collaborate with ML researchers, engineers, and product designers to move from experimentation to scalable deployment.
• Ensure the visual and biological accuracy, scalability, and editability of AI-generated outputs.

Ideal Candidate

• 5+ years of experience in machine learning, particularly in computer vision , NLP , or multimodal models .
• Hands-on experience building and deploying ML systems in production (preferably at a SaaS or product company).
• Strong coding skills in Python and experience with frameworks like PyTorch, TensorFlow, or JAX .
• Comfortable with open-ended, technically ambiguous challenges—especially in scientific or research-heavy domains .
• Bonus: Experience with SVG or vector graphics generation , or a background in life sciences or bio-related research.

Why Join

• Be one of the first ML hires tackling a completely novel problem in scientific visualisation .
• Work in a fully remote setup with a smart, mission-aligned team spread across the US and Canada.
• Shape the technical direction of a product used and loved by scientists around the globe.
• Join a VC-backed company with an established user base, strong product-market fit, and a clear mission: make science more accessible and actionable .

Interview Insight

We’re looking for engineers who can demonstrate both depth and practicality. Expect conversations around:

• Your experience with multimodal learning (e.g., combining visual + textual data).
• Projects where you worked with or generated SVG/vector graphics .
• The most impactful ML model you’ve developed—metrics, use cases, and why it mattered.
• Your decision-making process between building custom models versus leveraging existing tools .

Interested? Let’s connect.

Apply now or reach out directly for a confidential conversation.

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