About Learning Loop
https://learningloop.org
Learning Loop is the social network for exponential growth (private beta) backed by 500 https://learningloop.org
Our early users
Startup founders who use Learning Loop to grow faster and maximise luck https://learningloop.org/networks/founders
Our MVP
A series of private social networks, with a 2-sided interface that captures the tacit knowledge of the world's wisest people with minimal effort, and distributes it with audiences that need it the most and would pay for it (currently everything is done via Slack, Google Meet, Google Calendar and email)
About this internship
We are seeking a highly motivated and curious Machine Learning Engineer Intern to join our team and work on applying cutting-edge language models and APIs to relationship building and knowledge discovery. The intern will work closely with the founder and growth team to build and deploy AI MVPs that solve non-engineering problems in the field of social networking and adult learning.
The ideal candidate should have a strong theoretical foundation in machine learning, natural language processing, and software engineering, and be passionate about playing with the existing off the shelf language models and APIs, and building scrappy products that bring delight to users.
Responsibilities
- Implement APIs for serving machine learning models and integrating them into workflows
- Work with the team to design and implement machine learning pipelines and workflows for training and evaluation
- Work with the team to build AI MVPs that use our existing data to make predictions that drive user engagement and growth
- Monitor and analyze the performance of deployed models and APIs, identifying and resolving issues as they arise
- Participate in code reviews, testing, and deployment of machine learning solutions
Requirements
- Currently pursuing a Bachelor's or Master's degree in Computer Science, AI, or a related field
- Passion for learning new technologies and concepts and applying them to non-engineering problems
- Strong curiosity in machine learning and natural language processing, with knowledge of at least 1 popular framework such as TensorFlow, PyTorch, and spaCy
- Familiarity with software engineering practices and proficiency in at least one programming language (e.g. Python, Java, etc.)
- Experience building and deploying machine learning models and APIs
- Good communication skills and ability to work in a team environment
- Detail-oriented, with strong problem-solving and analytical skills
- [Optional but nice-to-have]: Experience with at least cloud computing platforms (e.g. AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes)
- [Optional but nice-to-have]: Experience with RESTful API design and development
Compensation
- This is a paid internship for a duration of 3-6 months.
- Monthly compensation of S$500
- Access to tier 1 engineering mentors from tier 1 tech companies
- Free book sponsorship (plus personal monthly book recommendation from the above mentors)
Learning Loop is an equal opportunity employer and welcomes applicants of all backgrounds and ethnicities.
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- Company:
Learning Loop - Designation:
Machine Learning Engineer Intern – Language Models and APIs - Profession:
Engineering - Industry:
Computer and IT