Machine Learning Engineer
$200k - $300kFull-time
Willing Tech
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.
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Mid-Senior level
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