Sr. Machine Learning Engineer

Vimeo is at the forefront of innovation, driving personalized experiences and cutting-edge marketing strategies through advanced machine learning solutions. We are seeking a highly motivated and innovative Machine Learning Engineer to join our team. If you are a self-starter with a passion for personalization, sales, and marketing, and have a deep understanding of state-of-the-art technologies, algorithms, and paradigms, we want to hear from you.

What you’ll do:

• 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, including product, marketing, and sales, 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 cutting edge of the industry.
• Analyze large datasets to uncover insights and trends that inform the development of 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 improve our products and services.
• Mentor and collaborate with other engineers and data scientists, fostering a culture of innovation and continuous learning within the team.

Skills and knowledge you should possess:

• 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.

Bonus points (nice skills to have, but not needed):

• Experience in A/B testing, multi-armed bandits, or other experimental methodologies for optimizing marketing strategies.
• Knowledge of data visualization tools like Tableau, Power BI, or similar.
• Prior experience in a startup or innovative tech environment is a plus.

Targeted Base Salary Range:  $142,200 to $216,500