Machine Learning Engineer
Description For Machine Learning Engineer
Regrello, a 60-person startup backed by prestigious investors like Andreessen Horowitz and Tiger Global, is revolutionizing supply chain automation. They're building a global operating network that enables supply-chain companies to collaborate efficiently, addressing a $220-billion market opportunity. The Machine Learning Engineer role offers an exciting opportunity to work at the intersection of AI and supply chain optimization, developing cutting-edge solutions that impact global manufacturing practices.
The position requires bridging the gap between ML Researchers and Software Engineers, focusing on creating novel foundational deep learning models for processing complex tabular datasets. With a required 3+ years of industry experience, the role demands expertise in scaling and deploying ML models in production environments, along with strong proficiency in Python and modern ML frameworks.
The company offers a flexible, hybrid/remote work environment with competitive compensation ($165,000-$220,000) plus equity. They have offices in major tech hubs including SF, Seattle, NYC, and Austin, but welcome remote candidates across the US. The team includes veterans from leading tech companies and is backed by a 2-3 year runway, offering both startup agility and stability.
Working at Regrello means joining a customer-obsessed, product-driven company that's tackling significant challenges in supply chain optimization. The role involves collaboration with cross-functional teams, staying current with AI developments, and contributing to a culture of continuous learning. Benefits include comprehensive health coverage and generous PTO, making it an attractive opportunity for those looking to make a meaningful impact in the AI and supply chain space.
Responsibilities For Machine Learning Engineer
- 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 to build high-quality product features
- Take on new challenges and responsibilities in a dynamic startup environment
- Help shape the company by participating in hiring decisions
Requirements For Machine Learning Engineer
- Bachelors in Computer Science or Software Engineering with a 3.5+ GPA
- 3+ years of industry experience scaling and deploying ETL pipelines or Deep Learning models
- Strong experience in training deep learning models in distributed multi-node GPU environments
- Proficient with data engineering technologies, including Spark and Airflow
- Familiarity 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 Engineer
- Competitive salary
- Equity compensation
- Health insurance (medical, dental, vision)
- Generous paid time off
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