Join a team of 60+ scientists, engineers, and builders using AI to compress decades of research into weeks. Backed by $57M in funding.
Most AI companies build copilots that assist researchers. We build autonomous systems that generate hypotheses, run simulations, evaluate results, and iterate -- compressing years of R&D into weeks.
If you want to work at the intersection of frontier AI and hard science -- where your code discovers new drugs, designs novel materials, and engineers proteins -- this is the place.
We've built a company where scientists and engineers can do the most impactful work of their careers.
Your code doesn't just ship features -- it discovers drug candidates, designs materials, and engineers proteins. Every commit moves real science forward.
Work with generative chemistry models, physics-informed neural networks, GPU-accelerated simulation, and multi-objective optimization at production scale.
Collaborate with researchers from Stanford, MIT, DeepMind, and Google Brain. Learn from the best while tackling hard, interdisciplinary problems no one else is solving.
Small teams, big problems. You'll own entire systems end-to-end, from research prototype to production deployment, with the freedom to make architectural decisions.
We're early enough that you'll shape the company and the product, but mature enough ($57M raised, 4 products live) that you'll have real resources and real customers.
Competitive base salary, meaningful equity, comprehensive benefits, and the compute resources you need. We invest in people the way we invest in infrastructure.
"I left a senior role at a big tech company because the problems here are harder and more meaningful. In my first month, I built a generative model that proposed 3 novel scaffolds our pharma partner had never seen."
"What I love is the tight loop between research and product. I'm not writing papers that sit on a shelf -- I'm building models that run in production and generate real scientific results for customers every day."
"The engineering culture here is exceptional. We ship fast, we review rigorously, and every engineer has access to serious GPU compute. It's the most productive I've been in my career."
We're hiring across engineering, research, design, and go-to-market. Don't see a perfect fit? Reach out anyway.
Build generative chemistry models, molecular property predictors, and closed-loop optimization pipelines for AI-driven drug discovery.
Design and scale GPU compute infrastructure for large-scale molecular simulation, model training, and inference workloads.
Develop novel generative models for molecular design, working at the intersection of deep learning and computational chemistry.
Lead protein design campaigns using AI-driven approaches for therapeutic antibodies, enzymes, and novel protein scaffolds.
Develop ML models for materials property prediction, composition generation, and physics-informed simulation acceleration.
Design intuitive interfaces for complex scientific workflows, making AI-powered discovery tools accessible to researchers worldwide.
Partner with enterprise customers to deploy and integrate Xineplus platforms into their research workflows. Bridge the gap between product and customer success.
Build and lead the enterprise sales organization, driving adoption of Xineplus AI platforms across pharma, biotech, and materials science companies.
Comprehensive benefits designed for people doing ambitious, meaningful work.
Comprehensive medical, dental, and vision coverage for you and your dependents. 100% premiums covered for employees.
Meaningful stock options so you share in the upside of what we build together. Early-stage equity with real potential.
$5,000 annual stipend for conferences, courses, books, and professional development. We invest in your growth.
Hybrid schedule with 3 days in-office, 2 remote. We trust you to do your best work however it happens.
Unlimited PTO with a 3-week minimum. We also close the office for a full week in December. Rest matters.
On-demand access to serious GPU clusters for experimentation, model training, and research. No waiting for resources.
We encourage and support publishing your work. Present at top conferences and contribute to the scientific community.
Quarterly off-sites and regular team events. Connect with colleagues, recharge, and celebrate the wins together.
Catered lunch daily plus fully stocked kitchen with coffee, snacks, and drinks. Fuel your best work.
Our process is designed to be respectful of your time. Most candidates complete all stages within 2 weeks.
Submit your application. Our team reviews every submission and responds within 5 business days.
A 30-minute conversation with a team member to discuss your background, interests, and what you're looking for.
A focused technical session relevant to the role. For engineers: system design or coding. For researchers: paper discussion or research presentation.
Meet the team you'd work with, ask questions, and get a feel for the culture. If it's mutual, we move fast on offers.
Our headquarters are in London, UK, with hybrid collaboration for local roles and remote-friendly workflows for distributed specialists.
The team gathers around research reviews, customer milestones, and deep technical planning while preserving focused maker time.