Principal Machine Learning Engineer

Unclassified - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

About the position

Altana provides the world's only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data. Through the Atlas, companies and governments can understand the distant origins of products well beyond their own direct suppliers; discover trading relationships and national security risks deep in their networks; measure labor and environmental impacts; identify related risks and opportunities; ensure effective compliance and enforcement with trade requirements; and collaborate to manage all of it. We have built a fundamental understanding of how the world's economy works, and the implications for global resiliency, sustainability, and opportunity are enormous. Backed by leading investors and used by the world's most important organizations (Maersk, US Customs and Border Protection, Boston Scientific, and more), Altana's mission is to power a new era of globalization organized around trusted supply chain networks. This is a lofty mission, and our success depends on building a diverse, global team and creating an environment in which they can thrive. We operate in accordance with our values: we focus on value creation, not capture; we foster diversity and embrace difference; we embrace reality; we get things done; we amaze our clients. When you join Altana, you'll be joining a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact. The Engineering team is looking for talented Machine Learning Engineers to help build out our vision. In this role, you'll work with world-scale public and proprietary datasets pertaining to all aspects of global trade, build sophisticated Machine Learning models that generate unique insights for our customers into the risks and opportunities posed by their supply chains, and stay on the cutting edge by incorporating generative AI into supply chain exploration and analytics workflows.

Responsibilities

• Develop, deploy and continuously improve machine learning models powering Altana's classification, risk screening, network analysis, and entity resolution capabilities.
• Build and maintain supportable, scalable and evolvable machine learning pipelines.
• Work in a cross-functional team with software engineers, data scientists and product managers to generate new business ideas and enhance our product offerings.
• Evaluate and recommend new tools, technologies, and best practices for machine learning development and deployment.
• Keep up-to-date with the latest advancements in machine learning and artificial intelligence to stay current on emerging techniques and trends.

Requirements

• BS degree in Computer Science, Data Science, or equivalent experience.
• 10+ years of professional experience as a data scientist or machine learning engineer with a proven track record of delivering functional product-oriented ML solutions.
• Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas).
• Proven track record of ownership and delivery of projects with major organizational impact.
• Strong written and verbal communication skills.
• Curious, always learning, and keeping a close eye on the latest developments in the fields of Machine Learning and Artificial Intelligence.

Nice-to-haves

• Prior experience building and tuning large language models (Bert, LLaMA, or similar).
• Familiarity with prompt engineering and chain-of-thought prompting for LLMs.
• Experience in multi-modal ML on text and images, and text and structured features.
• Working knowledge of cloud services like AWS, Azure, or GCP.

Benefits

• Collaborative work environment.
• Commitment to engineering excellence.
• Opportunities for personal and professional development.
• Diverse backgrounds and perspectives are valued.
• Impactful work that enables developing countries and identifies drug traffickers.