Search the 15 jobs at Dynamo AI

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.

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.

Lead the design and architecture of user-centric interfaces, creating high-quality, responsive user interfaces using TypeScript and React. Collaborate with product teams and mentor junior engineers while optimizing applications for performance and accessibility.

The Lead Software Engineer will design and deploy high-performance ML services, collaborate with ML teams, understand customer needs, and influence AI safety standards. The role involves leading engineering efforts to optimize transitions from ML model experimentation to production and ensuring compliance with industry standards.

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.

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.

As a Software Engineer in Testing at Dynamo AI, you will lead the QA process, develop automated tests for APIs and UIs, and design test automation frameworks. You will ensure the reliability and performance of AI technologies while documenting processes and contributing to improvement initiatives.

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.

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.

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.

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.

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.

As the Head of AI Solutions, you will develop strategies to address enterprise customer needs, prepare presentations on engagement timelines, identify pain points in AI workflows, and coordinate with teams to ensure successful deliverables while maximizing ROI.

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.

As a Customer Success Senior Manager, you will lead the Customer Success team, manage client relationships, oversee onboarding, implement retention strategies, assess team performance, collaborate across departments, and drive continuous improvement in customer experience.