Senior ML Engineer | Brazil

Hiring via TechTree

This is a role that TechTree is recruiting for on behalf of one of its clients.

TechTree is an AI-driven recruitment platform working with high-growth companies.

When you apply, TechTree's AI Agent matches you not just to this role , but to other relevant opportunities across its network, so one application can unlock multiple roles.

Senior ML Engineer | Foundation Models & CUDA 

TechTree's client is hiring a Senior ML Engineer to help build and scale a novel foundation model for automated software delivery in embedded systems.

This is a deeply technical role for an engineer who has built large-scale foundation models, developed custom CUDA kernels, and scaled distributed ML systems in production.

• Location: Brazil — remote
• Employment: Full-time
• Estimated compensation: £100,000–£150,000/year + equity
• Level: Mid-Senior / Senior
• Relocation: UK visa sponsorship may be available

What you'll own

• Lead development and production deployment of a large-scale foundation model
• Design and implement custom CUDA kernels for performance-critical workloads
• Optimise training and inference across GPUs and distributed infrastructure
• Architect scalable ML systems with demanding reliability and performance requirements
• Profile and improve data pipelines, training loops, inference, and serving infrastructure
• Evaluate modern architectures including Mixture-of-Experts and state-space models
• Build internal tooling, benchmarks, evaluation systems, and observability infrastructure
• Work closely with founders on technical strategy and optimisation priorities
• Improve model quality, latency, scalability, and compute efficiency

What we're looking for

• Deep professional experience with CUDA C/C++
• Strong Python skills
• Experience building and shipping large-scale foundation models
• Proven custom CUDA kernel development
• Experience with distributed training and inference
• Strong knowledge of modern deep learning architectures
• Production expertise with PyTorch or another major ML framework
• Experience operating ML workloads on AWS, Azure, or GCP
• Strong understanding of ML observability, evaluation, and production SLOs
• Experience delivering complex systems in fast-moving environments

Strong advantages

• Built a foundation model from 01
• Early-stage AI startup or top-tier research lab experience
• Experience with MoE, state-space models, and advanced inference optimisation
• Built tooling that significantly improved engineering or research productivity
• Experience optimising large-scale GPU workloads for cost and performance

Why consider this opportunity?

• Work on a genuinely novel foundation-model problem
• Significant technical ownership from day one
• Direct influence over architecture and ML strategy
• Work closely with an experienced founding team
• Competitive compensation plus equity
• Remote opportunity for candidates based in Brazil
• Potential UK relocation support

If this sounds like a fit, we'd love to hear from you. Apply today!