
HR Tech • Recruitment • Productivity
Nova is a global top talent network that connects the top 3% of talent with each other and with leading professional opportunities to help them achieve their full potential. The network comprises more than 20,000 top performers from various industries and backgrounds. Nova provides a merit-based platform for professionals to connect, develop, and accelerate their careers through curated jobs, mentoring programs, and exclusive events. Using advanced technology, Nova empowers its members to find career development opportunities and helps partner companies hire the best talent more efficiently. Nova's mission is to create a more meritocratic and productive society by connecting high potentials worldwide.
11 - 50 employees
👥 HR Tech
🎯 Recruiter
⚡ Productivity
💰 Equity Crowdfunding on 2021-03
June 24

HR Tech • Recruitment • Productivity
Nova is a global top talent network that connects the top 3% of talent with each other and with leading professional opportunities to help them achieve their full potential. The network comprises more than 20,000 top performers from various industries and backgrounds. Nova provides a merit-based platform for professionals to connect, develop, and accelerate their careers through curated jobs, mentoring programs, and exclusive events. Using advanced technology, Nova empowers its members to find career development opportunities and helps partner companies hire the best talent more efficiently. Nova's mission is to create a more meritocratic and productive society by connecting high potentials worldwide.
11 - 50 employees
👥 HR Tech
🎯 Recruiter
⚡ Productivity
💰 Equity Crowdfunding on 2021-03
• Serve as the technical AI lead across portfolio companies, working directly with founders and engineers to architect and build AI-native products. • Translate business and product concepts into technical AI roadmaps using first-principles thinking. • Rapidly prototype, test, and iterate on machine learning and generative AI models across diverse use cases (e.g., vision, text, multi-modal). • Evaluate and integrate open-source models, fine-tune foundation models, and design custom training pipelines when needed. • Stay ahead of the curve on frontier AI advancements, sharing insights that shape company bets and technical decisions.
• Have a PhD (or left one behind) in CS, AI, or a related field with 2–8 years of industry experience. • Have built and shipped ML systems—ideally at startups or modern tech-forward companies. • Are deeply comfortable with modern AI tooling and infrastructure (e.g., PyTorch, JAX, Hugging Face, LangChain, Ray, etc.). • Have experience with both traditional ML and generative AI (e.g., LLMs, diffusion models, RAG pipelines, fine-tuning). • Think like a founder and solve problems from first principles. • Based on the East Coast
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