Poised Senior ML Engineer

👋 About Poised Poised is an early-stage startup on a mission to improve spoken communication in our remote working world. We are building an AI-powered communication coach and platform that can provide real-time and post meeting feedback. In the process we hope to democratize the language for career mobility, improve diversity and inclusion, and bring more understanding and compassion to professionals.

The founding team has launched top 5 grossing iOS and Android applications and built large bottoms-up SaaS businesses. We are venture backed and our perks include free food, full benefits, and a flexible remote working environment.

⭐ About you Work Experience

• Expertise in AI and ML concepts and algorithms.

• 2+ years of experience in a Machine Learning Engineer, Data Scientist, or similar role.

• Completion of a Computer Science degree, coding bootcamp, or equivalent experience.

• Skilled at communicating technical ideas to a non-technical audience.

• Experience coding with Python, JavaScript and/or Typescript, with at least one solo ML-related project on GitHub that you can share written in one of these languages.

• Data analysis and data visualization skills.

• Bonus points for previous startup experience. What You Will Do

• Work with speech, text and/or image data to train, test and deploy machine learning models.

• Design annotation tasks, annotation schema, and annotation quality assurance workflows to create the datasets needed for training, testing and deploying ML models.

• Collaborate with product and engineering teams to contribute to end-to-end ML product deployments.

• Monitor and improve performance of ML models deployed to production.

• Research the viability, applicability, and licensing of open-source machine learning models for a variety of Natural Language Processing and/or Computer Vision tasks. Then, integrate, fine tune and/or retrain these models for the purpose of Poised feature development. Culture Here are some aspects of Poised culture that you would experience if you joined:

• Preference for experimentation, early user feedback, and iterative approaches.

• Open to receiving and giving feedback on both our communication and technical deliverables.

• Desire to ensure representation of all types of people in our datasets to deliver machine learning models that are as equitable and fair as possible. ✉️ Interested? Apply here and we look forward to hearing from you!