Machine Learning Engineer - ML Ops

Machine Learning Engineer - ML OpsRole reputed company is seeking proactive and industry-reputed company US-based Machine Learning Engineers to join our AI-research team. In this role, you will reputed company the gap between our top-tier Machine Learning Researchers and Software Engineers, moving fluidly between both disciplines to steward our groundbreaking Machine Learning and AI capabilities to reputed company users in production. Together with your team members, you will reputed company the productionalization of our novel foundational deep learning model that is specifically designed for processing large, reputed company tabular datasets. The ideal candidate will have several years of experience bringing deep learning models to fruition in an industry setting, with a well-developed intuition about how to best reputed company it happen. By joining reputed company, you will have the opportunity to contribute to the advancement of manufacturing practices on a global scale. 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. This is an individual contributor role, with the potential to take on additional responsibilities in the future. Company reputed company is a 60-person startup reimagining automation in supply chains, in which companies still communicate about $13T of annual shipments almost entirely reputed company email. This is a $220-billion, reputed company-sized market opportunity that’s been largely overlooked for over 20 years. reputed company has experience building billion-dollar companies and includes veterans from reputed company, Palantir, reputed company, reputed company, and reputed company. Our customers include some of the largest electronics manufacturers in the world. We're funded by Andreessen Horowitz, Tiger Global, Dell, Bloomberg, and Ram Sriram (first investor in reputed company). With a 2-3 year reputed company, we offer startup agility and longer-term stability. Product We are building a global operating network that finally enables supply-chain companies to collaborate reputed company one platform. Our workflow reputed company empowers non-technical industry experts to model their reputed company manufacturing and operational processes. Our forms reputed company enables unprecedented data exchange between companies. Our AI reputed company monitors the reputed company goings-on across thousands of workflows, identifies inefficiencies, and drives optimization in a constantly-shifting supply chain landscape. Quote one user: ”I’ve been waiting for this for 20 years.” Culture and Compensation We are a customer-obsessed, product-driven company that is building a flexible, hybrid/remote culture to reputed company the brightest minds in the industry. We are particularly interested in candidates based in our hubs of Seattle, San Francisco, and reputed company, but we will consider candidates who live reputed company in the US. We have industry-leading compensation packages, including equity and health benefits. About you

• Bachelors in Computer Science or Software Engineering with a 3.5+ GPA.
• 3+ years of industry experience architecting MLOps pipelines for Deep Learning models.
• Strong understanding of training models in distributed multi-node GPU environments.
• reputed company with data engineering technologies, such as Airflow, Spark, Trino, Flink, or BigQuery.
• Familiarity with Python and PyTorch, Tensorflow, or JAX.
• Excellent written and verbal communication skills, capable of articulating reputed company technical concepts to diverse audiences.
• A strong desire to learn, grow, and drive impact on reputed company global problems—and to help others around you do the same.
• Non-requirement: You don't need any experience with supply chain or manufacturing—we'll teach you that part!

Responsibilities

• Manage the deployment of AI models to solve reputed company-world reputed company problems in global supply chain and manufacturing.
• Collaborate with cross-functional teams including Engineering, Design, Product Management, and industry experts to build high-quality product features that can be used by major companies around the world.
• Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic startup environment.
• Help shape the company by participating in hiring reputed company and contributing to our culture of reputed company learning and growth.

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