ML Engineer

At Lobox, we value diversity and equal opportunity. We are committed to creating an inclusive and supportive work environment where everyone can thrive and contribute to our success.

Position: ML Engineer

Location: San Francisco, California, United States

Job Type: Full-time

Salary: $171000 - $208000

Lobox is seeking a highly skilled and experienced ML Engineer to join our dynamic and innovative team. As an ML Engineer, you will play a crucial role in designing, developing, and implementing cutting-edge machine learning models to solve complex business problems.

Key Responsibilities:

• Develop and maintain machine learning algorithms and models for various applications such as natural language processing, computer vision, and predictive analytics.
• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to understand business requirements and provide technical solutions.
• Design and implement data pipelines to acquire, process, and clean large datasets for training and testing machine learning models.
• Explore and experiment with new machine learning algorithms, techniques, and tools to improve the performance and accuracy of existing models.
• Develop and deploy machine learning models in a production environment, ensuring scalability, stability, and efficiency.
• Monitor and evaluate the performance of deployed models, identify and troubleshoot any issues, and continuously improve their accuracy and effectiveness.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence technologies and integrate them into our models and processes.

Requirements:

• Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
• Minimum of years of experience as an ML Engineer or in a similar role, preferably in a fast-paced and dynamic environment.
• Strong programming skills in languages such as Python, Java, or C++.
• Solid understanding of machine learning concepts and techniques, including deep learning, reinforcement learning, and unsupervised learning.
• Experience with popular machine learning libraries and frameworks such as TensorFlow, Keras, and PyTorch.
• Proven track record of designing, developing, and deploying machine learning models for real-world applications.
• Proficiency in SQL and database management.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills to work effectively in a team environment.
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud is a plus.

Join us and be a part of our exciting journey towards leveraging the power of machine learning to drive innovation and growth.