Machine Learning Researcher - Emerging Architectures
Description For Machine Learning Researcher - Emerging Architectures
Regrello, a innovative 60-person startup backed by prestigious investors like Andreessen Horowitz and Tiger Global, is revolutionizing supply chain automation through advanced AI solutions. They're seeking a Machine Learning Researcher to join their AI research team, focusing on groundbreaking research in tabular modeling and emerging deep learning architectures.
The role offers an exciting opportunity to work on a novel foundational deep learning model specifically designed for processing large, complex tabular datasets. The position requires expertise in transformers and emerging deep learning architectures, with the successful candidate working alongside top-tier researchers and engineers to develop solutions for manufacturing and supply chain challenges.
The company is building a global operating network that transforms how supply-chain companies collaborate, featuring a sophisticated workflow engine, forms engine, and AI engine. With a strong financial backing providing a 2-3 year runway, Regrello offers both startup agility and longer-term stability. The team includes veterans from leading tech companies like Oracle, Palantir, Apple, Amazon, and Microsoft.
The position offers a competitive compensation package ranging from $165,000 to $220,000, plus equity and comprehensive benefits. The work environment is flexible, with hybrid/remote options available, and the company maintains hubs in major tech centers including Seattle, San Francisco, and New York. This role presents an exceptional opportunity to make a significant impact in a $220-billion market while working with cutting-edge AI technology and solving real-world problems in global supply chains.
Ideal candidates should have either a PhD in Computer Science or a related field, or significant industry experience in deep learning. The role combines advanced technical work with collaborative opportunities across various teams, making it perfect for someone who wants to push the boundaries of AI while creating practical solutions for industry challenges.
Responsibilities For Machine Learning Researcher - Emerging Architectures
- Develop, implement, and deploy AI models to solve real-world complex problems in global supply chain and manufacturing
- Apply and build upon state-of-the-art machine learning technologies
- Collaborate with cross-functional teams
- Take on new challenges and responsibilities as needed
- Help shape the company by participating in hiring decisions
Requirements For Machine Learning Researcher - Emerging Architectures
- PhD in Computer Science / quantitative field and a 3.5+ GPA or 5+ years of industry or post-Masters experience developing Deep Learning models
- Strong research background in designing architectures for sequence modeling
- Proficiency with Python and PyTorch, Tensorflow, or JAX
- Excellent written and verbal communication skills
- Strong desire to learn, grow, and drive impact on real global problems
Benefits For Machine Learning Researcher - Emerging Architectures
- Competitive salary
- Equity
- Health insurance (medical, dental, vision)
- Generous paid time off
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