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Member of Technical Staff

Moonvalley AI

Full-time
Georgia, Montenegro, Poland, UK, Ukraine
python
ios
aws
machine learning
artificial intelligence
Apply for this position

We are building the next generation creative studio, powered by the most capable video and image foundational models. We are creating the place where generative image and video experiences will be built.

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 Member to join our Technical Staff and the role is fully remote (preference will be given to UK/Europe based candidates). Candidates outside these regions may apply but you will be required to relocate (we will offer a relocation package).

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 Member of Technical Staff 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.

  • Rapid prototyping using open-source algorithms and shaping them to meet product needs.

  • Experience deploying ML models in the Cloud.

  • Prior experience with AWS and related services.

  • Experience with databases (Postgres/MySQL).

  • ML framework: Pytorch / Tensorflow.

  • Experience with experiment tracking systems.

  • Bonus: Contributions to open-source projects in computer vision.

What we offer (compensation & benefits)

  • Competitive salary and equity.

  • Health coverage.

  • Unlimited paid vacation.

  • Fully-distributed culture that’s async first.

  • Hardware setup.

In our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation.

If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for.

This is a fully remote position with Moonvalley, and we welcome candidates from anywhere. We meet a few times every quarter, usually in a center-point between NA and India (like Dubai).

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

Moonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs.

Please be assured we'll treat any information you share with us with the utmost care, only use your information for recruitment purposes and will never sell it to other companies for marketing purposes. Please review our privacy policy and career privacy policy for further information.

Apply for this position
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About the job

Full-time
Georgia, Montenegro, Poland, UK, Ukraine
2 Applicants
Posted 15 hours ago
python
ios
aws
machine learning
artificial intelligence

Apply for this position

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Member of Technical Staff

Moonvalley AI

We are building the next generation creative studio, powered by the most capable video and image foundational models. We are creating the place where generative image and video experiences will be built.

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 Member to join our Technical Staff and the role is fully remote (preference will be given to UK/Europe based candidates). Candidates outside these regions may apply but you will be required to relocate (we will offer a relocation package).

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 Member of Technical Staff 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.

  • Rapid prototyping using open-source algorithms and shaping them to meet product needs.

  • Experience deploying ML models in the Cloud.

  • Prior experience with AWS and related services.

  • Experience with databases (Postgres/MySQL).

  • ML framework: Pytorch / Tensorflow.

  • Experience with experiment tracking systems.

  • Bonus: Contributions to open-source projects in computer vision.

What we offer (compensation & benefits)

  • Competitive salary and equity.

  • Health coverage.

  • Unlimited paid vacation.

  • Fully-distributed culture that’s async first.

  • Hardware setup.

In our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation.

If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for.

This is a fully remote position with Moonvalley, and we welcome candidates from anywhere. We meet a few times every quarter, usually in a center-point between NA and India (like Dubai).

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

Moonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs.

Please be assured we'll treat any information you share with us with the utmost care, only use your information for recruitment purposes and will never sell it to other companies for marketing purposes. Please review our privacy policy and career privacy policy for further information.

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