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Lead Software Engineer - ML Service

Dynamo AI

San Francisco, CAFull-timeSeen 1mo agoStill listed 2 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Dynamo AI seeks a highly talented and experienced Lead Software Engineer to lead the development of ML services on the cloud, focusing on AI safety and compliance.

Skills & qualifications

RequiredNice to have

Skills

Amazon Web Services (AWS)KubernetesPythonTypeScriptMachine LearningAPI DesignStrong Communication

Qualifications

7+ Years Experience

Full job description

Location: US San Francisco At Dynamo AI, our mission is to empower every organization to harness AI’s transformative potential with confidence and control. Our solutions empower customers to ensure AI safety and compliance while delivering top-tier AI innovations. We are looking for a highly talented and experienced Lead Software Engineer to lead the development of our ML services on the cloud. Join us in defining the future of AI safety and compliance! Responsibilities

  • Lead the engineering team to design, develop, and deploy high-performance, secure, and reliable ML services adhering to industry-leading standards.
  • Partner closely with the ML team to streamline and optimize the transition from experimentation to production for cutting-edge ML models and AI solutions.
  • Deeply understand customer needs and industry trends in AI safety and compliance, collaborating with leadership and product managers to shape and execute technical strategies.
  • Work directly with customers to deliver tailored solutions, ensuring seamless integration of our products with their AI systems.
  • Establish yourself as a thought leader in the AI safety and compliance domain by providing insights and influencing the broader community and industry.

Qualifications

  • 7+ years of experience delivering industry-leading solutions that achieve exceptional customer satisfaction.
  • Demonstrated success in delivering and maintaining AI products at scale, including building services for the training and inference of AI models, ensuring reliability and performance in production environments.
  • Expertise in API design, Typescript or Python programming languages, and good knowledge on Kubernetes systems.
  • Deep knowledge of best engineering practices and a strong track record of designing and building scalable, distributed systems.
  • A mission-driven approach with a commitment to continuously innovate our products and solutions.
  • Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

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