As a Machine Learning Engineer, you will contribute to the design, development, and maintenance of data pipelines, optimizing how we use AWS and other cloud infrastructure, and enabling data access for our various research projects. Your responsibilities will encompass extracting, transforming, and loading (ETL) data from various sources, developing and executing data integrity standards, and optimizing performance. You will collaborate closely with cross-functional teams and contribute to the development of scalable and efficient data architectures. This role provides a dynamic opportunity to leverage your expertise in data engineering and learn more about the data infrastructure at Shipwell. This will enable you to drive insights and support data-driven decision-making within our organization.

What we’re looking for:

  • Experience designing and implementing ML models and maintaining relevant data in a cloud environment
  • Experience working with DevOps to enable your team access to the tools they need
  • Contributing to every part of the machine learning product lifecycle
  • Proven track record of implementing data engineering best practices in all aspects of the data pipeline, i.e. ETL, data integrity, and monitoring
  • Demonstrable proficiency with Python, dbt, SQL, and modern ML tooling
  • Experience working with large-scale data model refactoring for better performance, interpretability, and maintainability
  • Experience with version control tools (GitHub, GitLab) and Agile methodologies.
  • Bachelor’s Degree in a quantitative field such as Physics, Engineering, Computer Science, or demonstrated equivalent quantitative experience.
  • Excellent communication skills to effectively collaborate with different teams within the engineering org

 

What you’ll do when you get here:

  • Collaborate closely with our engineering, analytics, and data science teams as we take our machine learning projects and infrastructure to the next level
  • Right at the start you will be contributing to existing ML projects, creating and maintaining the data pipelines they need, and communicate the results to the organization
  • You will own all of the data and ML processes you create
  • You will become the expert on our machine learning and data infrastructure and make critical decisions in our path forward
  • You will have the opportunity to grow your skill set and take part in projects at the forefront of GenAI, ML, and data science in the logistics industry

 

Why Shipwell:

  • Enjoy working remotely with the added perk of a home office reimbursement
  • Unlimited Paid Time Off (PTO)
  • A robust healthcare package that includes medical, dental & vision benefits, short-term and long-term disability, AD&S coverage, and flexible/health savings accounts
  • 40K program where Shipwell matches up to 4%
  • A yearly learning and development budget
  • Subsidized internet, cell phone, fitness, and educational reimbursements
  • Virtual team-building events where fun and connection take center stage
  • Join a vibrant, inclusive workplace shaped by friendly, talented individuals
  • Receive a technology package including a MacBook Pro
  • Employee Recognition Program to celebrate and incentivize hard work and success!

Please note that Shipwell is not offering sponsorship for work visas for this position.

The Salary Range for this role is between $100,000 – $130,000/year. Compensation is based on a number of factors including market location, job-related knowledge, skills, and experience.

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