Machine Learning Engineer

This range is provided by Willing Tech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00 / yr - $300,000.00 / yr

Direct message the job poster from Willing Tech

Machine Learning Engineer – Scientific Visualisation Platform

Location : Remote (US / Canada)

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

Why Join

Interview Insight

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

Interested? Let’s connect.

Apply now or reach out directly for a confidential conversation.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Analyst, Consulting, and Engineering

Industries

Software Development, Biotechnology Research, and Data Infrastructure and Analytics

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