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Willing Tech

Machine Learning Engineer

Willing Tech, San Francisco, California, United States, 94199

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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 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. 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

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