Senior ML Engineer
Description For Senior ML Engineer
Join Ninetailed by Contentful, a pioneering force in composable personalization and experimentation within the Contentful family. As a Senior ML Engineer, you'll be at the forefront of revolutionizing personalization & experimentation for leading businesses worldwide. Your role involves bringing ML models from conception to production, focusing on predictive analytics and operating at scale.
The position offers an exciting opportunity to work with cutting-edge ML technologies while optimizing models for accuracy, speed, and scalability. You'll be integrating ML cloud solutions and collaborating closely with Data Engineers and Data Scientists to shape the technical roadmap. The role requires expertise in model development, production ML workloads, and familiarity with distributed systems and cloud services.
Contentful, with nearly 800 people from over 70 nations, provides an inclusive and diverse environment. The company powers innovative content experiences for many Fortune 500 companies. You'll benefit from comprehensive perks including stock options, family benefits, generous PTO, education budget, and wellbeing stipends.
This is an ideal opportunity for an experienced ML engineer who wants to make a significant impact in the content personalization space while working with a global team that values work-life balance and professional growth.
Responsibilities For Senior ML Engineer
- Bring models from idea to production with focus on predictive analytics
- Optimize ML models for accuracy, speed, and scalability
- Integrate ML cloud solutions for large-scale use cases
- Monitor and optimize existing models through benchmarking
- Collaborate with Data Engineers and Data Scientists on technical roadmap
- Drive ML education in the team
- Establish high standard of quality & ownership
- Evaluate latest technologies
- Ensure code quality through automated testing
Requirements For Senior ML Engineer
- Proven track record in model development of ML models
- Hands-on experience with production ML workloads at scale
- Familiarity with distributed systems and cloud services (AWS, Azure, GCP)
- Experience with container frameworks like Docker and Kubernetes
- Industry experience in A/B testing, attribution modeling and predictive analytics
- Great communication skills in English
Benefits For Senior ML Engineer
- Stock Options
- Fertility and family building benefits
- Generous paid time off including vacation, sick days, education days
- Personal annual education budget
- Virtual and in-person events
- Annual wellbeing stipend
- Monthly communication phone/internet stipend
- Phone hardware upgrade reimbursement
- New hire office equipment stipend
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