AI/ML Engineering Director
3 days ago
We're looking for a seasoned Principal Software Engineer, Architecture (AI/ML) to drive the technical strategy and direction for our large-scale cloud services, including machine learning model deployment and orchestration. As a key member of our engineering organization, you will be involved in the architecture, design, implementation, verification, and integration of the next generation of DigitalOcean Cloud Computing software with a strong emphasis on AI/ML-driven solutions.
Key Responsibilities- Design and implement large-scale cloud and AI/ML services, including machine learning model deployment and orchestration.
- Develop and deploy AI/ML models to optimize cloud infrastructure, improve system reliability, and enhance user experience.
- Build and refine machine learning pipelines and frameworks to support scalable AI/ML solutions.
- Establish a pragmatic long-term technical direction for our software services, ensuring alignment with our customers, business goals, and internal teams.
- Lead a team of technical leads to evolve our service architecture, with alignment across several product technical roadmaps.
- Mentor individuals and the engineering community on advanced technical issues, including best practices in AI/ML.
- 12+ years professional experience in web-scale system software development.
- 5+ years experience demonstrating an established track record in Deep Learning and Machine Learning.
- 3+ years recent experience as an ML engineer, data science engineer, or similar.
- In-depth experience in two or more of the following areas: Cloud Computing, Storage, Networking, Platform-as-a-Service, Infrastructure-as-a-Service, Software-as-a-Service.
- Excellent communication skills at all levels.
- Competitive salary range: $225,000 - $338,000 based on market data, relevant years of experience, and skills.
- Bonus potential in addition to base salary, determined by company and individual performance.
- Equity compensation to eligible employees, including equity grants upon hire and participation in the Employee Stock Purchase Program.
- Career development opportunities, including reimbursement for conferences, training, and education, as well as access to LinkedIn Learning's 10,000+ courses.
- Flexible time off policy and competitive benefits package, supporting overall well-being.
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