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3 Hours Ago
San Francisco, CA, USA
Hybrid
58 Employees
Senior level
58 Employees
Senior level
Artificial Intelligence • Software
As a Senior DevOps Engineer, you will optimize CI/CD pipelines, manage AWS infrastructure, and maintain Kubernetes clusters. Your role involves implementing monitoring systems, ensuring security compliance, and optimizing infrastructure costs while collaborating closely with software engineering teams.
3 Hours Ago
San Francisco, CA, USA
Hybrid
58 Employees
Mid level
58 Employees
Mid level
Artificial Intelligence • Software
As a Senior Software Engineer for the Core Infra team at Dynamo AI, you will design, develop, and maintain a Kubernetes-based infrastructure for machine learning model deployment. Your role involves ensuring optimal performance, reliability, and quality while developing automated testing frameworks and CI/CD pipelines.
8 Days Ago
San Francisco, CA, USA
Remote
58 Employees
Entry level
58 Employees
Entry level
Artificial Intelligence • Software
The Technical Product Manager will lead product ownership throughout the product lifecycle, focusing on developing new features, understanding customer needs, collaborating with engineering teams, and iterating on product performance to deliver valuable user experiences. This role emphasizes shaping AI strategies with a focus on safety and responsibility.
8 Days Ago
New York, NY, USA
Remote
58 Employees
150K-215K Annually
Senior level
58 Employees
150K-215K Annually
Senior level
Artificial Intelligence • Software
As a Solutions Engineering Senior Manager, you will build and lead the Sales Engineering team, drive technical sales strategies, engage with customers to understand their needs, and collaborate with cross-functional teams to ensure product alignment and customer satisfaction.
8 Days Ago
San Francisco, CA, USA
Remote
58 Employees
Senior level
58 Employees
Senior level
Artificial Intelligence • Software
The Senior Accountant will oversee financial operations, ensuring compliance and accuracy in financial reporting. Responsibilities include managing A/R, A/P, GL, preparing financial statements, coordinating tax filings, and supporting budgeting. This role also focuses on improving operational efficiency and maintaining strong internal controls.
8 Days Ago
San Francisco, CA, USA
Remote
58 Employees
Senior level
58 Employees
Senior level
Artificial Intelligence • Software
The People Operations Manager will oversee HR and people operations, focusing on team culture, employment compliance, policy development, global talent acquisition, and performance management. They will advise on HR-related issues and collaborate with legal and finance teams for global expansion.
8 Days Ago
San Francisco, CA, USA
Remote
58 Employees
Expert/Leader
58 Employees
Expert/Leader
Artificial Intelligence • Software
The ML Research Scientist will lead research on large language model (LLM) safety, focusing on developing innovative techniques for safe, high-quality, and explainable models. Responsibilities include spearheading research, co-authoring papers, collaborating with teams, and delivering scalable algorithms.
8 Days Ago
San Francisco, CA, USA
Remote
58 Employees
Mid level
58 Employees
Mid level
Artificial Intelligence • Software
The ML Research Engineer will focus on LLM safety, generating synthetic data, training and benchmarking models, and delivering scalable production code. They will lead research initiatives, co-author academic papers, and contribute to the development of safe and responsible LLMs for business applications.
8 Days Ago
San Francisco, CA, USA
Remote
58 Employees
Expert/Leader
58 Employees
Expert/Leader
Artificial Intelligence • Software
The ML Engineer will own an ML privacy vertical, collaborating with the engineering team to apply algorithms in real-world applications. Responsibilities include generating synthetic training data and evaluating ML models while focusing on privacy preservation in machine learning.
8 Days Ago
San Francisco, CA, USA
Remote
58 Employees
Junior
58 Employees
Junior
Artificial Intelligence • Software
As a Machine Learning Engineer focused on LLM safety, you will design and maintain ML code for products ensuring the safety and effectiveness of LLMs. Responsibilities include rigorous testing, integrating with customer AI workflows, and collaborating with teams to ensure responsible AI deployment.
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