You haven't searched anything yet.
We are looking for an ML Engineer to work on developing and scaling the Lightning AI platform from the frontend, CLI, and API, to billing, security, and integrations.
We want someone who can take ownership of key features and drive development from end to end while collaborating with a super-smart team of engineers, product managers, and designers. Here, you’ll build from proof of concept to release with a focus on speed, quality, and iteration.
This is an opportunity to create groundbreaking technology that will transform the machine-learning ecosystem!
Our interviews will not only give us insight into your skillset but give you insight into our company.
Full Time
$130k-160k (estimate)
01/26/2024
07/11/2024
lightningai.com
San Francisco, CA
<25
The job skills required for ML Engineer (Customer Facing) include Machine Learning, Python, Insight, API, Problem Solving, Presentation, etc. Having related job skills and expertise will give you an advantage when applying to be a ML Engineer (Customer Facing). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by ML Engineer (Customer Facing). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for ML Engineer (Customer Facing) positions, which can be used as a reference in future career path planning. As a ML Engineer (Customer Facing), it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary ML Engineer (Customer Facing). You can explore the career advancement for a ML Engineer (Customer Facing) below and select your interested title to get hiring information.