Senior Machine Learning Engineer
6 days ago
Web3 Foundation: Building the Future of the Internet
MoonSong Labs is a cutting-edge Web3 and AI incubator and services company focused on driving projects and ideas in the next wave of developer and end-user adoption. We're seeking an exceptional AI Engineering Manager to join our Venture Studio team, where you'll play a key role in shaping the future of web3 and machine learning.
This is a unique opportunity to work with bleeding-edge technologies, including zkStack, various open-source AI models, Starknet, and more. As an AI Engineering Manager, you will be responsible for research, prototype development, and presentations of initial proposals for web3 and ML infrastructure projects.
Your Key Responsibilities:
- Developing and maintaining high-quality machine learning models and architectures for web3 applications.
- Collaborating with cross-functional teams to design and implement innovative solutions for web3 and machine learning user adoption.
- Staying up-to-date with the latest advancements in AI and web3 technologies, and applying this knowledge to drive business growth and innovation.
- Providing technical guidance and support to junior engineers and other stakeholders to ensure successful project delivery.
Requirements:
- Bachelor's degree in Computer Science, Mathematics, or related field.
- 5+ years of experience in machine learning engineering, with a strong focus on web3 applications.
- Proven track record of developing and deploying high-quality machine learning models and architectures.
- Strong understanding of web3 technologies, including smart contracts and blockchain platforms.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Perks and Benefits:
- $150,000 - $200,000 per year, depending on experience.
- 100% Remote.
- Flexible vacation policy.
- Health and Dental plans (for US based employees).
- Direct line of access to Managing Partners and senior leadership; A flat organizational structure and the camaraderie of working alongside committed professionals focused on providing dedicated mentorship, respectful feedback, and career advancement.
- Continuous learning & development.
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