Machine Learning Engineer

Vagaro is seeking an experienced and innovative Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data science, and software engineering. You will be responsible for designing, developing, and deploying machine learning models and systems that will drive our business solutions tailored to meet the evolving needs of the health, beauty, and wellness industry.

*Position reports to Pleasanton, CA- Onsite position*

How you will contribute:

• Design and develop robust machine learning models for a variety of applications based on strong intuition and ability to interpret results.
• Perform exploratory data analysis and preprocessing to prepare data for modeling.
• Implement, test, and deploy scalable machine learning solutions in production.
• Collaborate with data engineers to ensure seamless integration and transformation of data sources for machine learning applications.
• Collaborate with cross-functional teams to seamlessly integrate AI / ML capabilities into existing products and pioneer the development of new AI-powered solutions.
• Lead technical discussions and present complex ideas to non-technical stakeholders.
• Stay current with the latest advancements in machine learning and artificial intelligence.

Who we are looking for:

• Minimum of 5 years of experience in machine learning (ML) and data science (DS), applying supervised, unsupervised or reinforcement learning paradigms and with proven track record of deploying machine learning models in production.
• Proficiency in machine learning models such as Logistic Regression, Random Forest, XGBoost and Neural Networks.
• Proficiency in using ML frameworks such as TensorFlow, PyTorch and Scikit-learn.
• Proficiency in programming languages such as Python, Java, Scala, PySpark and R.
• Familiarity with data exploration libraries such as Pandas, NumPy and Matplotlib.
• Familiarity with DS and ML platforms such as Databricks, DataRobot, Azure ML, AWS SageMaker and H2O.ai.
• Experience with public cloud platforms (AWS, GCP or Azure) and containerization technologies (Docker, Kubernetes).
• Strong problem-solving skills to devise innovative and creative AI solutions.
• Excellent communication and collaboration skills in a fast-paced environment.

Employee Perks & Benefits:

• 15 days PTO
• 9 company holidays
• Reimbursement program using any of Vagaro services.
• 401k retirement plan with matching
• Healthcare, dental & vision plans for individuals and families
• Life insurance, supplemental programs
• Tuition reimbursement program
• Discounted tickets program
• Doordash Dash Pass
• On-site fitness center
• Work/Life & EAP services

About the Company:
Vagaro, Inc. develops an all-in-one business management platform and a powerful online marketplace for the salon, spa, and fitness industries. More than 180,000+ professionals and 80,000+ businesses in the United States, Canada, UK, and Australia use Vagaro's cloud-based software to manage all aspects of their operations. Consumers choose Vagaro to search for and book services in their community at their convenience. Vagaro is easy-to-use and works on any device. Learn more by visiting https://www.vagaro.com/pro.

Equal Opportunity Employer:

Vagaro takes pride in being an Equal Employment Opportunity and affirmative action employer. We foster an inclusive environment where individuals are evaluated without discrimination based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.

Privacy Policy:

Privacy Notice for Employee and Applicant Data

Your Privacy Matters!

At Vagaro, we are committed to protecting the privacy and security of your personal information. Before you proceed with your application, we encourage you to review our Employee and Applicant Privacy Notice.

By submitting your application, you acknowledge that you have read and understood our Privacy Notice. This document outlines how we collect, use, disclose, and protect your personal information during the recruitment and employment process.

Privacy Notice: https://www.vagaro.com/pro/vagaro-employee-and-applicant-privacy-notice