Senior Machine Learning Engineer

Key Skills

ArangoDB, AWS, Azure, Databricks, Docker, Effective communication skills, Elasticsearch, Git, Google Cloud Platform (GCP), Keras software library, Kubernetes-K8s, Large Language Models - LLMs, Machine learning techniques, NumPy, OpenAPI, Pandas, Postgres, Python Programming, PyTorch, SPARK Programming, TensorFlow

Job Description

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, Merck, 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 Opportunity at Altana

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. 

Your 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

About You

• BS degree in Computer Science, Data Science, or equivalent experience
• Passionate about applying SOTA ML techniques to solve real world applied problems and willingness to get your hands dirty in the data and domain to achieve measurable outcomes
• 10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions 
• Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas)
• Proven track record of ownership and delivery of projects with major organizational impact
• You care deeply about engineering excellence, supportability and knowledge-sharing 
• You have strong written and verbal communication skills
• You are curious, always learning, and keep a close eye on latest developments in the fields of Machine Learning and Artificial Intelligence

Nice to have, but not required

• 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

Technologies we love

• Languages: Python, Spark
• Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure
• Datastores: Databricks, Elasticsearch, Postgres, ArangoDB
• ML Tools: Tensorflow, PyTorch, Keras, FAISS

This role is…

• This role is remote or hybrid, based in the United States, UK, with the option to work from one of our hubs in New York City, Boston, Washington D.C., or London

Equal Opportunity Statement

At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.