Remote Machine Learning Engineer - Focus on Modeling

Description:

• The Machine Learning Engineer at Supernormal will focus on developing and refining models that power AI solutions for meeting notes, question answering, and task completion.
• The role involves working on prompt engineering, building and shipping custom machine learning models, training and deploying large language models, model optimization, developing new product experiences, defining and improving business metrics, improving search and question answering, and advocating for better practices.
• The position requires a drive to quickly roll out new models and features to users, with a heavy emphasis on software engineering.
• The company is remote-first, with annual team retreats and quarterly gatherings.

Requirements:

• 2-3 years of AI/ML experience working on real-world machine learning projects, including developing and optimizing models, model evaluation, validation, and tuning.
• Bachelor’s degree in Computer Science, Engineering, AI, Mathematics, or related field; Master’s degree or PhD is a plus.
• Proficiency in Python, PyTorch, and SQL, with experience in deploying models into production environments and monitoring their performance.
• Strong software engineering skills, familiarity with Agile methodologies, and experience with collaborative development tools like GitHub.
• Willingness to learn and grow in the field, with a collaborative and open outlook, high agency, and a proactive approach to problem-solving.

Benefits:

• Competitive salary, 401K, stock options.
• Full healthcare coverage (Medical, Dental, Vision).
• Fully remote work environment with a WFH budget.
• Annual team-wide offsite, education credit, and unlimited PTO.