Visionary Machine Learning Engineer
7 days ago
Vimeo is a pioneer in video experience technology, driving innovation and excellence through cutting-edge solutions. We seek a highly skilled Visionary Machine Learning Engineer to join our team.
About UsWe empower creators, innovators, and businesses to craft high-quality video experiences that captivate audiences worldwide. With a community of millions, our platform receives billions of views each month. Our diverse workforce spans global offices, united by a passion for delivering exceptional results.
Salary and BenefitsWe offer a competitive $174,100 - $235,600 salary range (NYC Metro, Bay Area, Seattle, & Los Angeles) or $158,000 - $216,500 for other US cities outside these areas. As part of our total rewards philosophy, you'll enjoy a comprehensive benefits package, including paid time off, 401k match, commuter benefits, Health Savings Account (HSA), Flexible Spending Account (FSA), fertility reimbursement, group term life insurance, wellbeing resources, and more.
Job Description- Design, develop, and deploy machine learning models that drive personalization across various customer touchpoints, enhancing the overall user experience.
- Collaborate closely with cross-functional teams to integrate ML solutions that optimize marketing strategies and sales performance.
- Innovate and implement state-of-the-art machine learning algorithms and technologies, ensuring our solutions remain at the forefront of the industry.
- Analyze large datasets to uncover insights and trends that inform targeted marketing campaigns and personalized customer experiences.
- Continuously monitor and improve the performance of deployed models, ensuring they meet business objectives and scalability requirements.
- Stay up-to-date with the latest advancements in machine learning, AI, and data science, and apply this knowledge to enhance our products and services.
- Mentor and collaborate with other engineers and data scientists, fostering a culture of innovation and continuous learning within the team.
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of professional experience as a Machine Learning Engineer, Data Scientist, or in a similar role, with a focus on personalization, sales, and marketing.
- Strong proficiency in programming languages such as Python, R, or Java and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- In-depth knowledge of state-of-the-art algorithms and paradigms in machine learning, particularly in recommendation systems, predictive modeling, and customer segmentation.
- Experience working with large-scale data processing frameworks like Spark, Hadoop, or similar.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and scalable ML infrastructure.
- Excellent problem-solving skills, with the ability to think critically and creatively.
- Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- A self-starter attitude with a strong sense of ownership and the ability to thrive in a fast-paced, dynamic environment.
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