Sr. Machine Learning Engineer

$142,200 - $216,500/Yr

Vimeo - State College, PA

Full-time - Mid Level

State College, PA

Food Services and Drinking Places

About the position

Vimeo is seeking a highly motivated and innovative Machine Learning Engineer to drive personalized experiences and cutting-edge marketing strategies through advanced machine learning solutions. The role involves designing, developing, and deploying machine learning models that enhance user experience across various customer touchpoints, collaborating with cross-functional teams, and staying updated with the latest advancements in machine learning and AI.

Responsibilities

• Design, develop, and deploy machine learning models that drive personalization across various customer touchpoints.
• 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.
• Analyze large datasets to uncover insights and trends for targeted marketing campaigns and personalized customer experiences.
• Continuously monitor and improve the performance of deployed models to meet business objectives and scalability requirements.
• Stay up-to-date with advancements in machine learning, AI, and data science to improve products and services.
• Mentor and collaborate with other engineers and data scientists.

Requirements

• 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, focusing 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 and the ability to think critically and creatively.
• Strong communication skills to articulate complex technical concepts to non-technical stakeholders.
• A self-starter attitude with a strong sense of ownership.

Nice-to-haves

• 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.

Benefits

• Bonus or commission
• Restricted Stock Units (RSUs)
• Paid time off
• Generous 401k match
• Wellbeing resources