Lead Machine Learning Innovator
23 hours ago
We are seeking a highly skilled and experienced Lead Machine Learning Engineer to join our team at ZipRecruiter. As a seasoned professional in the field of machine learning, you will play a critical role in leading our machine learning efforts and driving innovation in machine learning technologies.
Key Responsibilities:
- Technical Leadership: Lead and inspire a team of machine learning engineers, setting technical direction, defining best practices, and driving innovation in machine learning technologies.
- Model Development: Design, develop, and deploy machine learning models and algorithms to solve complex business problems and drive insights.
- Data Preparation: Collect, clean, and preprocess data from various sources to train machine learning models, ensuring data quality and suitability for modeling purposes.
- Feature Engineering: Identify and engineer relevant features from raw data to improve model performance and predictive accuracy.
- Model Training and Evaluation: Train and evaluate machine learning models using appropriate techniques and metrics, iterating and refining models as needed to improve performance.
- Model Deployment: Deploy machine learning models into production environments, working closely with engineering teams to ensure scalability, reliability, and performance.
- Performance Monitoring: Monitor and maintain the performance of deployed models, identifying and addressing issues as they arise.
- Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand business requirements and deliver solutions that meet user needs.
Requirements:
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
- 7+ years of experience in machine learning engineering, with a proven track record of developing and deploying machine learning models and systems.
- Leadership experience, with a track record of leading machine learning teams and driving impactful results.
- Proficiency in programming such as Python, Java, or Scala, and experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with distributed computing and big data technologies.
- Strong problem-solving abilities and critical thinking skills, with a passion for tackling complex machine learning challenges.
- Excellent communication and collaboration skills, with the ability to work effectively in multidisciplinary teams and communicate technical concepts to non-technical stakeholders.
Benefits:
- The estimated salary for this role is $225,000 per year, based on industry standards and location.
- Comprehensive health, dental, and vision insurance plans.
- Flexible work hours and remote work options.
- Generous vacation and paid time off.
- Professional development opportunities, including access to training programs, conferences, and workshops.
- State-of-the-art technology environment with access to cutting-edge tools and resources.
- Vibrant and inclusive company culture with opportunities for growth and advancement.
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