Remote Machine Learning Engineer

Summary

CloudHire is seeking a highly skilled Machine Learning Engineer to join their dynamic team. As an ML Engineer, you will develop and implement machine learning solutions, collaborate with cross-functional teams, optimize algorithms, and monitor model performance. CloudHire offers a flexible work-life balance and benefits tailored to employees' countries.

Requirements

• 3+ years ML research or ML engineering at a venture-backed startup or top technology firm
• Embraces rapid prototyping with an emphasis on user feedback
• Autonomous and excited about taking ownership of major initiatives
• Extreme passion for learning, growth, and leadership
• Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred)
• Proven experience as a Machine Learning Engineer or similar role in developing and delivering machine learning solutions
• Strong proficiency in programming languages such as Python, R or Julia
• Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch or scikit-learn
• Deep understanding of various machine learning algorithms, statistical analysis, and data modeling techniques
• Solid knowledge of cloud platforms and distributed computing frameworks
• Familiarity with data visualization tools and techniques
• Excellent problem-solving and analytical skills
• Strong written and verbal communication abilities
• Ability to work independently and collaboratively in a remote, fast-paced environment

Responsibilities

• Develop and deploy machine learning models and algorithms to solve complex business problems
• Collaborate with cross-functional teams to define project goals, gather requirements, and translate them into technical specifications
• Explore and analyze large, complex datasets to identify patterns, trends, and insights
• Optimize machine learning models to improve accuracy, performance, and efficiency
• Monitor and evaluate the performance of deployed models, troubleshoot issues, and implement necessary refinements
• Stay updated with the latest advancements in machine learning and contribute to the continuous improvement of our ML infrastructure
• Maintain documentation for models, algorithms, processes, and findings

Benefits

• Flexible work-life balance
• Benefits tailored to employees' countries