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Lead Machine Learning Engineer

5 months ago

San Francisco, United States Unreal Gigs Full time
Job DescriptionJob DescriptionAI Company Job Description: Lead Machine Learning Engineer

About the Company: We are a trailblazing AI company, known for pushing the boundaries of technology and creativity. Our mission is to revolutionize industries through artificial intelligence, developing solutions that drive innovation and change the world. Our environment is fast-paced, dynamic, and exciting, where cutting-edge research meets practical application in a variety of fields, from entertainment to healthcare. Join us to be at the forefront of AI innovation, where your work not only shapes the future of technology but also has a meaningful impact on society.

Responsibilities:

  • Lead the development and integration of advanced machine learning models to solve complex problems across different sectors, from healthcare to entertainment.
  • Spearhead the design and execution of the machine learning lifecycle, including problem definition, data acquisition, model development, training, and deployment.
  • Conduct cutting-edge research in AI and ML, publishing findings and implementing innovations into practical solutions for our clients.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that leverage AI.
  • Mentor junior machine learning engineers, fostering a culture of learning and innovation within the team.
  • Develop and maintain scalable and robust data pipelines to support real-time analytics and machine learning applications.
  • Optimize machine learning algorithms for performance and efficiency, ensuring they can operate at scale.
  • Stay ahead of the AI industry curve, identifying and incorporating new technologies and methodologies that improve our capabilities and offerings.
  • Work closely with product managers and developers to integrate AI and ML technologies into our products and services, enhancing their value and user experience.
  • Drive strategic initiatives to enhance our AI capabilities, including partnerships with academia and other research institutions.
  • Participate in tech talks, workshops, and conferences to showcase our work and explore collaboration opportunities.

Requirements

Minimum Requirements:

  • A passion for AI and machine learning, with a visionary mindset and a drive to innovate.
  • 6+ years of experience in machine learning, with a strong portfolio of projects demonstrating the application of AI in real-world scenarios.
  • Deep knowledge of ML algorithms, data structures, and statistical models, with a proven ability to apply these in large-scale environments.
  • Expertise in programming languages like Python and C++, and experience with ML frameworks such as TensorFlow, PyTorch, or Huggingface.
  • Strong analytical and problem-solving skills, with excellent communication abilities to convey complex concepts to non-technical stakeholders.
  • A Master’s or PhD in Computer Science, AI, Machine Learning, or a related field.

Preferred Requirements:

  • Experience leading AI projects in a dynamic startup environment.
  • A track record of published research or contributions to open-source projects in AI and ML.
  • Advanced knowledge of cloud computing environments like AWS, GCP, or Azure, especially in deploying scalable ML solutions.
  • Experience with NLP, computer vision, and other subfields of AI, demonstrating the ability to tackle diverse challenges.

Benefits

      • Competitive salary range ($230k - $300k) with significant equity in a rapidly growing AI firm.
      • Unlimited vacation policy, with a strong emphasis on work-life balance and flexibility.
      • Comprehensive health, dental, and vision insurance plans, plus wellness programs and fitness allowances.
      • Access to continuous learning opportunities, including conferences, workshops, and courses, to stay ahead in the AI field.
      • A vibrant, inclusive, and dynamic work culture that celebrates innovation, collaboration, and continuous improvement.