Intern - Machine Learning Engineer
Join our team and shape the future of AI and video creation
We are building the world’s most capable foundational models, allowing anyone to generate beautiful, cinematic and high-definition video in minutes.
We’re a small team of young & hungry researchers, and have raised over $30m from world class investors including Khosla Ventures & YCombinator. We released our first model two months ago, quickly becoming the fastest growing AI product on Discord since Midjourney with over 100,000 users in 6 weeks.
We’re looking for a Machine Learning Engineer Intern and the role is fully remote, but we're specifically looking for candidates based in India.
At Moonvalley, our product development process will be a bit non-standard and consist of small autonomous teams working to ship great features and experiences. Here is a good primer. You’ll work closely with your team (product designer, developers) daily, take ownership, make calls, and see things through without a lot of oversight.
What you'll do (responsibilities)
As a Machine Learning Engineer Intern, you'll play a crucial role in developing and maintaining various AI models and features in our software products. You'll work closely with our ML Engineers to deliver high-quality AI-powered solutions. You'll report directly to our Lead Machine Learning Engineer.
We're looking for someone who is looking to gain formal work experience in machine learning. You should be comfortable working in a remote team environment and have excellent communication skills.
Here are some examples of projects you might work on as an intern in our AI team:
Helping develop and improve our AI-powered features, such as recommendation systems, natural language processing, and predictive analytics.
Collaborating with cross-functional teams to define, design, and implement machine learning models and pipelines.
Keeping up to date with the latest advancements in machine learning and artificial intelligence to continuously improve our products.
Helping conduct experiments, analyzing results, and iterating on models to optimize performance.
Participating in swift iteration cycles related to Training/Fine-Tuning, testing and deployment of models.
Communicating clearly and effectively with cross-functional teams to understand requirements and provide technical guidance.
We value team players who are passionate about their work and continuously strive for personal and professional growth. If you're excited about the prospect of joining a dynamic team and making a meaningful impact on our products, we encourage you to apply.
What we're looking for (qualifications)
To be considered for this position, you should have:
Recent new graduate, or in the final year of studies for a bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis
Strong Python programming skills
Understanding of Deep learning models such as CNN, RNN/LSTM/GRU, Transformers, ResNets, etc.
Understanding of NLP or CV fundamentals.
Familiarity with machine learning libraries, such as TensorFlow or PyTorch.
Ability to work for 3 to 6 months as part of this internship
What we offer (compensation & benefits)
Competitive salary and equity
Unlimited paid vacation
Fully-distributed culture that’s async first
How to apply
This is a fully remote position with Moonvalley, and we welcome candidates from anywhere in India. However, we require that you have an overlap with the rest of the team based in MENA and North America working hours. As a result this role would involve 12pm to 8pm IST working hours.
If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of sales, we encourage you to apply. We look forward to hearing from you!
The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise balance organizational work