Machine Learning Engineer - Physics AI/Simulation Startup
Overview
My client is an early-stage engineering and AI organisation building advanced simulation and automation tools used across aerospace, defense, and next‑generation automotive programs. The team is developing a new class of AI‑driven engineering workflows that combine physics simulation, intelligent agents, and scalable compute - enabling faster, more accurate design cycles for complex systems.
Why join?
This is a chance to join a high‑ownership environment where you will build real, production‑grade AI systems that automate technical workflows previously requiring deep engineering expertise. You’ll work closely with founders, shape early product direction, and contribute to core agentic capabilities that will define the company’s platform. If you want to build serious AI — not just wrappers — and work on problems that combine simulation, computation, and intelligence, this is a rare opportunity.
The Company
The company builds AI‑powered engineering software designed to accelerate simulation and modelling tasks across several high‑performance industries. The product suite includes tools for fluid dynamics, structural analysis, and intelligent flight‑software development. Customers include major industrial and government organisations, though the team remains small, technical, and focused on solving deep engineering challenges. The culture values rigorous engineering, ownership, and building practical AI systems that deliver measurable performance improvements.
The Role
My client is seeking a Machine Learning Engineer to design, develop, and deploy advanced AI systems at the core of the company’s agent‑driven engineering platform. You will focus heavily on building production‑ready LLM‑based multi‑agent systems capable of automating complex simulation workflows. This includes creating specialised coding agents, developing domain‑aware capabilities for physics simulation, training custom models when needed, and integrating the platform with third‑party tools. The role involves close collaboration with founders and customers, contributing to roadmap planning, technical strategy, and early product builds.
The Essential Requirements
- Bachelor’s degree in Computer Science, Machine Learning, Applied Mathematics, or similar (Master’s preferred)
- Professional experience in ML engineering or AI systems development
- Hands‑on experience building and deploying production LLM‑based agentic systems (not just prompt engineering)
- Strong ML foundations, with experience predating the current LLM wave
- Experience training models from scratch (e.g., PyTorch)
- Familiarity with transformers, LLM integration, and modern deep learning tooling
- Experience with large‑scale or high‑performance systems, simulations, or technical workflows
- On‑site role in San Francisco (no remote or hybrid options)
What Will Make You Stand Out
- Experience building coding agents or developer‑oriented AI tools
- Experience with RAG, reinforcement learning, or reinforcement fine‑tuning
- Background in ML for scientific computing, simulation, or numerical methods
- Familiarity with engineering workflows in aerospace, automotive, or defense environments
- Distributed training experience or large‑scale optimisation
- Rust familiarity (helpful, not required)
- Open‑source or published work in applied ML or physics‑related AI
Benefits
- Salary up to $250,000 depending on experience
- Equity in a fast‑growing early‑stage company
- Healthcare coverage (medical, dental, vision)
- Paid time off and company holidays
- On‑site environment with access to high‑performance compute and engineering resources
If you are interested in this role, please apply with your resume through this site.
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Disclaimer
Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.
