Top Machine Learning Engineer Jobs in San Francisco, CA

The QA Data Engineer ensures data integrity and quality through automated testing frameworks and data validation tools, collaborating with teams to resolve anomalies and optimize data flows.

You will build AI applications to enhance small business efficiency, mentor engineers, and collaborate directly with Gusto's co-founder.

As a Senior Machine Learning Engineer, you will focus on the development and maintenance of machine learning infrastructure, deploying scalable models, collaborating with teams, and mentoring junior engineers.

As a Machine Learning Engineer, you'll build and monitor ML pipelines, implement ML Ops, and enhance ML engineering platforms while collaborating with client teams.

As a Principal Machine Learning System Engineer, you will develop infrastructure for ML models, tackle architectural challenges, and lead projects at Atlassian's Central AI team.

Lead the development and implementation of machine learning solutions, fostering a high-performance team while driving significant business impact across the organization.

As a Machine Learning Engineer III, you will develop and optimize ML solutions, analyze data to support product features, and collaborate with teams for continuous improvement.

Develop and implement machine learning models and infrastructure for personalized customer experiences, collaborating with various teams to optimize the platform.

The Lead Machine Learning Engineer will design and implement ML applications and systems, mentor junior developers, and optimize data pipelines while collaborating with cross-functional teams.

Conduct AI research in video embedding, multimodal language models, and intelligent agents, collaborating with team members and leading projects.

As a Staff Machine Learning Engineer, you will lead ML solutions focusing on risk mitigation in Cash products, collaborating with multiple teams.

As a Staff Machine Learning Engineer on the Risk team, you'll develop ML solutions to mitigate fraud and risk, collaborating cross-functionally across the organization.

The Principal Machine Learning Engineer will develop and implement machine learning algorithms, collaborate with teams, and guide emerging engineers to integrate AI across Atlassian products and services.

You will build and deploy ML models, analyze datasets, and collaborate with teams to enhance product experiences. The role involves creating foundational machine learning patterns and iterating on model performance based on live experiments.

Join Nextdoor's machine learning team to build and deploy ML models for real-time decision making in products, collaborating closely with product and data science teams.

Build and enhance machine learning models for Pinterest products, utilizing data-driven methods and overseeing data processing pipelines.

As a Machine Learning Engineer, you'll develop ML models and systems, collaborate with cross-functional teams, and experiment with data-driven methods to enhance user personalization on Pinterest.