"applied ai ml" Jobs

744 open tech roles matching “applied ai ml”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Machine Learning. Every listing is re-checked daily and closed roles are removed.

Showing 20 of 744 results

Perplexity AI

Join Perplexity AI as an Applied AI Engineer to develop cutting-edge agents for enhancing user experience.

Perplexity AI San Francisco Published 11 months ago
Flexible on stack
Netic

Join Netic as an Applied AI Research Engineer to drive impactful ML projects in a cutting-edge AI-first environment.

Netic San Francisco Published 1 year ago
Flexible on stack
Databricks

Serve as a trusted technical expert in AI/ML, designing and deploying production-level architectures for Databricks customers.

Databricks Central - United States; West Coast - United States $180k–$247.5k/yr Published 1 month ago
Flexible on stack
Databricks

Join Databricks as an Applied AI Engineer to build personalized learning experiences using machine learning and knowledge representation.

Databricks United States $139k–$191.1k/yr Published 2 months ago
Flexible on stack
Stuut

Join Stuut as a Member of the Technical Staff to design and deploy AI-powered systems for financial operations.

Stuut San Francisco Published 1 month ago
Flexible on stack
Airbnb

Join Airbnb as a Staff Machine Learning Engineer to innovate customer service with cutting-edge AI technologies.

Airbnb San Francisco, CA $212k–$260k/yr Published 2 months ago
HappyRobot

Join HappyRobot as a Machine Learning Engineer to build AI models for human-like conversations and shape the future of AI infrastructure.

HappyRobot San Francisco Published 1 month ago
Flexible on stack
Databricks

Join Databricks as a Senior Applied ML Engineer to optimize infrastructure and enhance serverless compute products.

Databricks San Francisco, California $16k–$21k/mo Published 1 month ago
Flexible on stack
Pinterest

Join Pinterest as a Machine Learning Engineer II to advance vision-centric LLMs and contribute to innovative AI solutions.

Pinterest San Francisco, CA, US; Remote, US $138.9k–$286.0k/yr Published 6 months ago
Flexible on stack
Pinterest

Join Pinterest as a Machine Learning Engineer II to drive responsible AI initiatives and collaborate on innovative ML projects.

Pinterest San Francisco, CA, US; Remote, US $138.9k–$286.0k/yr Published 2 weeks ago
Instawork

Join Instawork as an ML Engineer to build and scale technology for physical AI training data in a collaborative environment.

Instawork San Francisco, California, United States $170k–$200k/yr Published 3 months ago
Pinterest

Join Pinterest as a Staff Machine Learning Engineer to develop state-of-the-art visual AI models in a collaborative environment.

Pinterest San Francisco, CA, US; Remote, US $189.3k–$389.8k/yr Published 2 months ago
Mixpanel

Join Mixpanel's AI Platform team as a Software Engineer to build scalable infrastructure for AI agent development.

Mixpanel San Francisco, US (Hybrid) $188k–$254k/yr Published 2 months ago
Factory

Join Factory as a Research Engineer to design and integrate advanced AI and ML capabilities for software organizations.

Factory San Francisco, CA Published 2 years ago
P-1 AI

Join P-1 AI as an AI Research Scientist to push the boundaries of AI applied to the physical world in a hands-on role.

P-1 AI San Francisco Bay Area Published 1 month ago
Flexible on stack
Macroscope

Join Macroscope as an Applied ML Engineer to enhance machine learning systems in a collaborative startup environment.

Macroscope San Francisco $170k–$280k/yr Published 1 month ago
Flexible on stack
Perplexity AI

Join Perplexity AI as a Senior Applied AI Engineer to shape agent capabilities and enhance user experiences with cutting-edge AI technologies.

Perplexity AI San Francisco Published 3 days ago
Pinterest

Join Pinterest as a Sr. Machine Learning Engineer to develop innovative generative models for visualization features.

Pinterest San Francisco, CA, US; Remote, US $161.3k–$332.0k/yr Published 1 year ago
Flexible on stack