Research Engineer

at  Moonvalley AI

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 Research Engineer and the role is fully remote (preference will be given to US and UK based candidates). Candidates outside the US and UK 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 WE’RE LOOKING FOR (QUALIFICATIONS)

The ideal candidate for this role should possess:

• Masters or PhD in Computer Science, Mathematics or a related field with experience in modern deep learning technology
• Minimum 3 years working with a leading world-class, high performance engineering team
• Expertise in machine learning tools, and implementing best practices
• Proven experience with scaling large-scale LLMs and/or other Deep Learning systems
• Strong technical proficiency in AI and ML, capable of guiding complex project designs and implementations
• (Nice to have): Experience with low-level optimizations; in particular, low-level GPU programming

WHAT WE OFFER (COMPENSATION & BENEFITS)

• Competitive salary and equity
• Health coverage
• Unlimited paid vacation
• Fully-distributed culture that’s async first
• Hardware setup
  As a small team going up against a field of Goliaths, we have to treat our work like an Olympic sport. Expect a lot of long nights and working weekends - we know this isn’t for everyone, and we’re up front and transparent about that.
  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
  Compensation Range: $140K - $200

WHAT YOU’LL DO (RESPONSIBILITIES)

As a Research Engineer, you’ll be working alongside MLEs, you will ensure the development and deployment of cutting-edge AI models. Reporting directly to our Principals in the AI team, you will be responsible for:

• Architecting and developing high-performance MLOps systems that seamlessly integrate with our AI models, enhancing both development and deployment cycles
• Collaborating with cross-functional teams—spanning data scientists, AI researchers, and software engineers—to deeply understand requirements and align data, infrastructure and model training strategies with our ambitious goals
• Aiding in the selection and implementation of software technologies
• Diagnosing and resolving complex software challenges, optimizing the performance and reliability of our AI/ML systems
• Guiding project planning and estimation to ensure resources are efficiently allocated, facilitating on-time and impactful solution delivery
• Crafting and maintaining essential technical documentation to support system architecture, API usage, and operational guidelines
• Scaling high volume parallel AI models

The ideal candidate for this role should possess:

• Masters or PhD in Computer Science, Mathematics or a related field with experience in modern deep learning technology
• Minimum 3 years working with a leading world-class, high performance engineering team
• Expertise in machine learning tools, and implementing best practices
• Proven experience with scaling large-scale LLMs and/or other Deep Learning systems
• Strong technical proficiency in AI and ML, capable of guiding complex project designs and implementations
• (Nice to have): Experience with low-level optimizations; in particular, low-level GPU programmin