ML Engineer (Weather/DL/Meteorology), $150,000-250,000, San Francisco
ML Engineer sought for a fast-growth, well-funded startup who are building AI models to understand and shape weather conditions. This is a really exciting opportunity for an ML Engineer with a passion for the Geospatial world to join a talented team who have a passion for solving one of the most important problems for humanity. You will be joining as an ML engineer and building some of the most advanced general physics intelligence models within the weather/meteorology space.
As an ML Engineer, you will work across the full ML stack implementing novel model architectures & training algorithms and ideally have experience within deep learning. The ML Engineer will build data pipelines & train infrastructure for multimodal datasets as well as having the chance to stay up to date on research within the space.
Skills sought:
SF based – On site
$150,000-250,000 + equity, medical insurance, unlimited PTO + many other benefits
SEO Keywords:
ML Engineering, Machine Learning, Deep Learning, PyTorch, Weather, Physics, AI, Artificial Intelligence, Meteorology, Modelling techniques, Optimizers, Learning Rate, Computer Vision, Language Models, NN’s, Sensor Fusion
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.