Senior Machine Learning Expert

1 month ago

San Francisco, California, United States Unreal Gigs Full time

Company Overview: Welcome to the forefront of machine learning innovation at Unreal Gigs, a dynamic and forward-thinking company dedicated to harnessing the power of machine learning to solve complex problems and drive transformative change. Our mission is to develop cutting-edge machine learning solutions that empower businesses to make smarter decisions and achieve their goals.

Position Overview: As a Senior Machine Learning Engineer, you'll play a pivotal role in developing and deploying machine learning models and systems that power our products and services. You'll work on a diverse range of projects, from recommendation systems and natural language processing to computer vision and predictive analytics.

Key Responsibilities:

  1. Model Development: Design, develop, and deploy machine learning models and algorithms to solve complex business problems and drive insights.
  2. Data Preparation: Collect, clean, and preprocess data from various sources to train machine learning models, ensuring data quality and suitability for modeling purposes.
  3. Feature Engineering: Identify and engineer relevant features from raw data to improve model performance and predictive accuracy.
  4. Model Training and Evaluation: Train and evaluate machine learning models using appropriate techniques and metrics, iterating and refining models as needed to improve performance.
  5. Model Deployment: Deploy machine learning models into production environments, working closely with engineering teams to ensure scalability, reliability, and performance.
  6. Performance Monitoring: Monitor and maintain the performance of deployed models, identifying and addressing issues as they arise.
  7. 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.
  8. Documentation and Best Practices: Document methodologies, assumptions, and findings in clear and concise documentation, and promote best practices in machine learning development and deployment.

Qualifications:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • 5+ years of experience in machine learning engineering, with a proven track record of developing and deploying machine learning models and systems.
  • Proficiency in programming languages 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:

  • Competitive salary: The estimated salary for this position is between $180,000 and $220,000 per year, depending on experience and qualifications.
  • 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.
  • Exciting projects with real-world impact at the forefront of machine learning innovation.

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