Senior Machine Learning Engineer

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 Senior Machine Learning Engineer and the role is fully remote (preference will be given to India based candidates). Candidates outside these regions may apply but you will be required to relocate (we will offer a relocation package).

This role will require the candidate to time shift and work from 12pm to 8pm IST to overlap with our North American team. You will have some flexibility here but in general we aim for 3 - 4 hours of crossover with our North American EST based team.

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)

Here are some examples of projects you might work on as a Sr Machine Learning Engineer at our company:

• Work closely with academic advisors to incorporate cutting-edge research into our product.

• Contribute to R&D projects aimed at developing computer vision models.

• Keeping up to date with the latest advancements in machine learning and artificial intelligence to continuously improve our products.

• Collaborating with cross-functional teams to define, design, and implement machine learning models and pipelines.

• Conducting experiments, analyzing results, and iterating on models to optimize performance.

• Participate in swift iteration cycles related to Training/Fine-Tuning, testing and deployment of models.

• Experiment, validate, and iterate on machine learning models specific to video and image processing.

• Communicating clearly and effectively with cross-functional teams to understand requirements and provide technical guidance.

What we're looking for (qualifications)

The ideal candidate for this role should possess:

• MS/PhD in Computer Science, Electrical Engineering or a related field with a focus on computer vision.

• Proven research experience in computer vision and familiarity with academic conferences (CVPR, ICCV, NeurIPS).

• Exceptionally strong Python skills - Minimum 5 years of experience.

• Knowledge of CNN, RNN/LSTM/GRU, and Transformer models. …