About Shipium

Shipium is on a mission to solve the ‘Prime problem’ that modern retailers face today how to make fast, free, and on-time delivery promises a cornerstone of the customer’s shopping experience. We work with both fast-growing companies and well-known large retailers to cut costs, speed deliveries, and increase flexibility through great APIs, easy integrations into existing infrastructure, and powerful services optimizing the full retail supply chain.

We’re building tech that connects previously fragmented systems and automates complex supply chain decisions to deliver speed and value across operations.

Founded in 2019 by supply chain technology experts from Amazon and Zulily, the company is on a mission to help every eCommerce company provide its customers a great delivery experience while simultaneously reducing their costs to fulfill orders.

About the role

As our Senior ML Engineer, you will be responsible for solving complex problems related to the design, deployment, and continuous optimization of scalable machine learning platforms and production workflows. You will architect and scale our ML systems to support a rapidly growing number of machine learning models, serving millions of real-time predictions daily for our Fortune 500 and other large e-commerce customers. Your work will directly impact the performance, reliability, and scalability of our machine learning solutions, contributing to the success of the Shipium platform and ensuring seamless operations across our customer base.

What you'll do

• Architect and implement a scalable, high-performance machine learning platform to support model development, deployment, monitoring, and analysis.
• Ensure the platform supports a wide range of ML use cases, including real-time prediction serving, batch processing, and model experimentation.
• Optimize system performance and model latency to ensure robust, low‑latency inference across distributed systems.
• Identify bottlenecks in data pipelines and model serving systems, and implement solutions to improve throughput and efficiency.
• Evaluate and integrate new technologies and tools to enhance ML infrastructure, monitoring, and scalability.
• Design and build tools and workflows to streamline the ML lifecycle, enabling data scientists to iterate quickly and efficiently.
• Develop and maintain automated CI/CD pipelines for model rollouts and updates, leveraging Git, Terraform, Docker, Kubernetes, and other DevOps tooling.
• Establish and monitor production shadow testing environments to validate model performance in a production-like setting.
• Collaborate with data scientists to explore new algorithms and techniques, translating research into production-ready models.
• Contribute to the overall quality of the codebase, ensuring maintainability and best practices.
• Drive ML / DS best practices, give technical recommendations on challenging problems.
• Play a key role in driving team planning and prioritization processes, effectively identifying and communicating critical tradeoffs to maximize team effectiveness and deliver measurable business value.
• Mentor and train incoming machine learning engineers; participate in the hiring process.

Qualifications

• Education and Experience: Master’s Degree in Computer Science, Software Engineering, or a related field and 4-5 years of experience, or equivalent.
• Programming and ML Expertise: Proficiency in Python (with experience using ML libraries such as TensorFlow, PyTorch, scikit-learn, NumPy, and SciPy) and expertise in production machine learning frameworks.
• Containerization and Orchestration: Experience with containerization (Docker) and orchestration (Kubernetes) for deploying scalable ML systems.
• CI/CD and Infrastructure as Code: Proven skills in designing CI/CD pipelines and managing infrastructure as code (e.g., Terraform) for cloud resource automation.
• Data Management: Advanced SQL for data extraction and transformation, with familiarity in big data frameworks and NoSQL databases
• Cloud Computing: Hands-on experience with AWS services (SageMaker, S3, EC2, Lambda) for building and deploying machine learning models.
• Version Control and Development Workflows: Advanced Git skills and extensive experience implementing software development best practices.
• Teamwork and Communication: Exceptional teamwork, communication, and problem-solving skills.

At Shipium, Employees enjoy full medical, dental & vision coverage (with 50% coverage for dependents), optional life insurance and long-term disability coverage, a 401(k) retirement plan, fully remote work-from-home options in 25* states, 8 paid weeks of parental leave, 12 paid holidays annually, self-managed vacation time, sick & safety leave, and volunteer time off.

Shipium is committed to creating a diverse environment and is proud to be an equal opportunity employer. Women, people of color, people with disabilities, and veterans are strongly encouraged to apply. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. If you need reasonable accommodation because of a disability for any part of the employment process, please email Human Resources (hr@shipium.com) and let us know the nature of your request and your contact information.

This applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and mentorships. Shipium makes hiring decisions based solely on qualifications, merit, and business.

*Although based out of Seattle, WA, Shipium is 100% remote in the following states: Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Maryland, Massachusetts, Michigan, Montana, Missouri, New York, North Carolina, Ohio, Oregon, South Carolina, Tennessee, Texas, Vermont, Washington & Wisconsin.

Shipium participates in e-verify

We do not provide any type of sponsorship either now or in the future. We do not transfer H1Bs, support OPTs, or TN-Visas at this time