Staff Machine Learning Engineer

Why project44?  

At project44, we’re on a mission to make supply chains work.

With Movement, our High-Velocity Supply Chain Platform, project44 optimizes the movement of products globally, delivering unparalleled resiliency, sustainability, and value for our customers. We operate the world's most trusted end-to-end visibility platform, tracking over 1 billion shipments annually for over 1,300 leading brands across manufacturing, automotive, retail, life sciences, food & beverage, and oil, chemical & gas industries. Recently named to Fast Company’s Most Innovative Company’s List, project44 is headquartered in Chicago with a diverse team spanning 19 global offices and growing.

If you’re eager to be part of a winning team that works together to solve some of the most challenging supply chain challenges every day, let’s talk.

About Team:  
Our Data Science team builds world class solutions to enable high velocity supply chain. We apply cutting edge ML and AI methodologies on the most comprehensive supply chain data in the world to solve key Supply chain planning and execution problems for our customers. Key problems we solve include predicting the route that a shipment might take, estimating the time a truck/train/ship might arrive at its destination, predicting exceptions to inventory/transport plans so customers can take mitigating action, and ultimately model the behavior of every “link” in the global supply “chain” to enable efficient planning of inventory movement. 

Key Responsibilities: 

• Conceptualize, develop, and deploy machine learning models and pipelines that underpin our visibility, tracking, anomaly detection and arrival prediction systems. 

• Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. 

• Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models. 

• Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. 

• Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Build data pipelines and integrate machine learning models into our products and services, while adhering to industry best practices for ML operations (MLOps). 
• Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.
   

Ideally, you'd have: 

• A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. 

• Proven experience in building and deploying production-level machine learning models. 

• Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models(LLMs) and GenAI. 

• Deep understanding of any supply chain applications, reinforcement learning, and agent-based systems and experience in how to build them for large systems. 

• Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch. 

• Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems. 

• Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices. 

• Familiarity with cloud platforms like GCP or Azure. 

• Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects. 

• Good understanding of software development principles, data structures, and algorithms. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively in an extremely fast-paced, startup environment. 

Additional Skills: 

• Excellent communication and collaboration skills. 

• Ability to work in a fast-paced, dynamic environment. 

• Strong problem-solving skills and attention to detail. 

In-office Commitment: This position requires a commitment to contribute to our collaborative culture by working in-office three days weekly.  

Diversity & Inclusion 

At project44, we're designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day. 

We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture. 

project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application! 

For any accommodation needed during the hiring process, please email   recruiting@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.