Enabling businesses to drive collaboration and standardize best practices across their supply chain and operations.
Operations • Supply chain • Workflows • Automation • Collaboration
11 - 50
💰 $20M Series A on 2022-05
November 17, 2023
🇺🇸 United States – Remote
💵 $150k - $225k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Enabling businesses to drive collaboration and standardize best practices across their supply chain and operations.
Operations • Supply chain • Workflows • Automation • Collaboration
11 - 50
💰 $20M Series A on 2022-05
• Regrello is seeking highly motivated and talented recent-grad Machine Learning Scientists to help us build generative models to solve international supply chain problems in the manufacturing and supply chain industry. • As a Machine Learning Scientist, you will collaborate closely with engineers, product managers, designers, in-house supply-chain experts, and customers to design, develop, and deploy AI-powered solutions that revolutionize how global supply chains in manufacturing and supply chain industry are organized and operated. • We are specifically looking for candidates with a strong background in NLP, generative models, deep learning models, planning, and related areas. • Your expertise in these areas will be crucial in developing innovative solutions that address the complex challenges faced in the manufacturing and supply chain domain. • By joining our team, you will have the opportunity to contribute to the advancement of manufacturing practices on a global scale. • Your work will involve leveraging AI techniques, including NLP and generative models, to drive optimization, efficiency, and automation in manufacturing and supply chain operations. • You will be at the forefront of creating cutting-edge solutions that have a direct impact on how organizations optimize manufacturing and supply chain processes.
• PhD in Computer Science with research in AI, with a GPA of 3.5+ • 0 to three (3) years of experience in AI and machine learning techniques, including deep learning, natural language processing, reinforcement learning, and LLMs. • Experience with 1 or more of these AI/ML technologies: TensorFlow, scikit-learn, Spark MLlib, Mlflow, Kubeflow • Demonstrated ability not only to use state-of-the-art AI techniques but also to innovate upon them. • Strong background in CS and software development with real-world deployment of models and data engineering. • Excellent written and verbal communication skills.
• Our compensation packages are industry-leading and include competitive salaries, equity ownership in our dynamic startup, and comprehensive health benefits. • If needed, we are willing to sponsor US work authorization. • Our comprehensive benefits package includes health insurance (medical, dental, vision) and promotes a healthy work-life balance.
Apply NowOctober 24, 2023
201 - 500
🇺🇸 United States – Remote
💵 CA$120k - CA$196k / year
💰 $85M Series D on 2017-04
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
October 22, 2023
11 - 50
🇺🇸 United States – Remote
💰 $2.5M Venture Round on 2022-05
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer