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Machine Learning Engineer, Applied AI
Summary by AIEngineer.careers
Machine Learning Engineer, Applied AI is a Machine Learning Engineer role (full-time). with Brain Co. in SAN FRANCISCO, US. Compensation shown: $211K–$295K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
SAN FRANCISCO · US
$211K–$295K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Brain Co. is seeking a Machine Learning Engineer to focus on Applied AI initiatives within the San Francisco Bay Area. This role involves developing and implementing machine learning models to solve real-world problems. The ideal candidate will have strong technical skills in ML algorithms and practical experience in deploying AI solutions.
Responsibilities
- Develop and deploy machine learning models for applied AI use cases
- Collaborate with cross-functional teams to integrate AI solutions
- Optimize model performance and scalability
Requirements
- Experience in machine learning engineering
- Strong understanding of applied AI concepts
- Proficiency in relevant programming languages and ML frameworks
Nice to Have
- Experience with large-scale AI deployments
- Background in specific industry applications of AI
Tech Stack
Applied AIMachine Learning
BC
Brain Co.
San Francisco · US · 172+ employees
Brain Co. is a San Francisco-based AI company founded in 2025. It builds an AI platform and applications for important institutions, described in its company profile as agent-native operating systems for modern institutions.
