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 how businesses deliver personalized content worldwide. You'll work on bringing ML models from conception to production, focusing on predictive analytics and scalable solutions.
The role offers an exciting opportunity to work with cutting-edge ML technologies, optimize models for performance, and collaborate with data professionals to shape the technical roadmap. You'll be instrumental in driving ML education within the team while maintaining high-quality standards.
Contentful, with nearly 800 people from over 70 nations, powers digital experiences for 30% of Fortune 500 companies. The company values work-life balance and provides comprehensive benefits, including stock options, family benefits, and professional development opportunities.
The ideal candidate brings strong ML model development experience, expertise in scaling production workloads, and familiarity with cloud services and container frameworks. If you're passionate about ML, have excellent communication skills, and want to impact how businesses deliver personalized content, this role offers the perfect blend of challenge and growth opportunity.
Responsibilities For Senior ML Engineer
- Bring models from idea to production with a focus on models for predictive analytics
- Optimize ML models for accuracy, speed, and scalability
- Integrate ML cloud solutions and adapt them to large-scale use cases
- Continuously monitor and optimize existing models through benchmarking
- Collaborate with Data Engineers and Data Scientists on technical roadmap
- Drive ML education in the team and establish quality standards
- Evaluate latest technologies and their potential
- Ensure code quality through automated testing
Requirements For Senior ML Engineer
- Proven track record in model development of ML models
- Hands-on experience with running production ML workloads at scale
- Familiarity with distributed systems and cloud services (AWS, Azure, GCP)
- Experience with container frameworks such as 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 for full-time employees
- 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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