Engineering Manager, Machine Learning

Found in: Jooble US O C2 - 2 weeks ago

Pleasanton CA, United States Vagaro Full time

Vagaro is seeking an accomplished and visionary Technical Manager with profound expertise in Machine Learning (ML) and Generative Artificial Intelligence (AI) to lead and drive our ML initiatives. This role will place you at the forefront of designing, developing, and improving ML models with a primary focus on user-centered conversational interfaces. You will work collaboratively with multidisciplinary teams, including Product Managers, Software Engineers, and Designers, to bring innovation to life and deliver a cutting-edge product.

*Position reports to Pleasanton , CA- Onsite position*

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

Responsibilities:

  • Strategic Leadership : Develop and execute a strategic roadmap for ML and Generative AI applications, aligning technology goals with the company's mission. Define key milestones, timelines, and success metrics to track progress effectively.
  • Team Leadership and Mentorship : Lead and mentor a team of machine learning engineers and data scientists, fostering a collaborative and innovative work environment. Provide guidance, coaching, and support to team members, facilitating their professional growth.
  • End-to-End Development Lifecycle : Oversee the complete development lifecycle of ML and Generative AI applications, from ideation to deployment and maintenance. Ensure projects are delivered on time and within budget constraints.
  • Algorithm Development : Drive the research, design, and implementation of advanced ML and Generative AI algorithms to enhance model capabilities. Ensure models produce high-quality outputs consistently.
  • Optimization and Efficiency : Continuously optimize ML and Generative AI models for efficiency, scalability, and improved performance. Implement strategies for model compression, quantization, and inference acceleration.
  • Data Management : Supervise data collection, annotation, and preprocessing efforts, ensuring high-quality data pipelines. Implement data governance and privacy best practices.
  • Performance Evaluation : Establish rigorous evaluation protocols and methodologies to assess model performance. Conduct A/B testing and user studies to gather feedback for iterative improvements.
  • Ethics and Security : Uphold high standards of security and ethics in the development and deployment of ML and Generative AI applications. Collaborate with compliance and legal teams as necessary.
  • Integration and Documentation : Collaborate closely with engineering teams to integrate ML and Generative AI capabilities into various applications. Develop comprehensive documentation for internal and external stakeholders.
  • User-Centric Approach : Collaborate with product managers, designers, and user experience teams to align ML and Generative AI applications with user needs and market requirements. Translate user feedback into actionable improvements.
  • Monitoring and Maintenance : Implement monitoring and alerting systems to proactively identify and address issues with Generative AI applications. Ensure regular maintenance, updates, and patches.
  • Innovation and Knowledge: Stay informed about the latest advancements in ML and Generative AI. Explore opportunities for innovation and differentiation in Generative AI applications.
  • Stakeholder Communication : Act as a liaison between technical teams and senior management. Present progress reports, updates, and insights on ML and Generative AI applications' performance and impact.

Qualifications:

  • A proven track record of at least 3 years in leading technical teams and delivering complex software projects within an agile development framework.
  • Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related fields, supplemented by relevant certifications or advanced coursework in AI, ML, and NLP.
  • Passion for continuous learning and staying updated with advancements in AI, NLP, and related domains.
  • Profound understanding of ML principles, with a focus on NLP and prompt engineering.
  • Proficiency in data preprocessing techniques, including data cleaning, normalization, feature extraction, and embedding.
  • Hands-on expertise in designing, training, fine-tuning hyperparameters, evaluating ML models, and deploying them effectively.
  • Familiarity with deep learning frameworks like TensorFlow, PyTorch, Hugging Face, and LangChain.
  • Strong problem-solving capabilities, analytical mindset, and exceptional communication skills to collaborate effectively with diverse teams and stakeholders.

At Vagaro, we embrace innovation, diversity, and excellence. If you're passionate about driving the future of AI and ML in a dynamic environment, we invite you to join our team and be a key player in shaping our cutting-edge solutions.

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 173,000 professionals and 67,000+ 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 .

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:

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