Overview
Join a pioneering company dedicated to building safe, controllable AI physics models to tackle some of humanity's most significant challenges. You'll be part of a small, passionate team with a proven track record in developing safety-critical models for advanced robotics and autonomous systems.
The company
This company is focused on developing cutting-edge AI physics models, initially targeting highly accurate prediction and control in complex physical systems. The team has extensive experience building safety-critical AI in demanding domains and is backed by prominent figures and investors in the AI research and technology landscape.
The role
As a Machine Learning Engineer, you will operate across the full ML stack – from data handling and model development to evaluation and infrastructure. Your responsibilities will include implementing novel model architectures and training algorithms, building scalable data pipelines and training infrastructure for massive, petabyte-scale, multimodal datasets, and rapidly iterating on experiments. Staying current with research to integrate new ideas is key.
Essential Requirements
- Strong understanding of machine learning fundamentals.
- Depth in at least one core ML domain (e.g., Computer Vision, Sensor Fusion, Language Models, Physics-informed Neural Networks).
- Experience training models and analyzing experiment results through careful analysis and ablation studies.
- Experience writing and optimizing massive petabyte-scale data pipelines.
- Strong understand of Weather or Climate related AI/ML
What will make you stand out
- Familiarity with meteorology, computational fluid dynamics, and/or numerical simulations.
Benefits
- Up to $250,000
- Relocation opportunities + support
- Unlimited PTO
- Equity
- Free lunch and dinner
- Private Healthcare
- L&D budget
If you are interested in this role, please apply with your resume through this site.
SEO Keywords for Search
Machine Learning Engineer, ML Engineer, AI Engineer, Artificial Intelligence, Physics-informed Neural Networks, PINNs, Computer Vision, Sensor Fusion, Language Models, Robotics, Autonomous Vehicles, Data Pipeline, Petabyte Scale, Distributed Training, Model Architecture, Training Algorithms, Ablation Studies, Research Engineer, AI Research, Deep Learning, Neural Networks, Causal AI, Explainable AI, Steerable AI, Weather Prediction, Computational Fluid Dynamics, Numerical Simulation, Silicon Valley, AI Ethics, Safe AI.
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
