Machine Learning Engineer

at  Shipwell

OUR CULTURE

Shipwell is a fast-paced, high-energy start-up that strives to build the future of shipping every day. Diversity of thought and cross-department collaboration is very important to us. We deliver open, honest, careful communication and work as hard as we play. We create & deliver solutions that are revolutionizing the industry, which brings excitement and purpose to our work. If you are looking for a place that will help you tap into your best work-self and give you hands-on experience building something big, then we invite you to come and build the future of shipping with us!

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.
  Shipwell is an equal opportunity employer and welcomes all qualified applicants regardless of race, ethnicity, religion, gender, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law. We celebrate diversity and believe that experience comes in different forms. Diversity in our team makes for better problem-solving, more creative thinking, and ultimately a better product and company culture.
  Even more important than your resume is a clear demonstration of impact, dedication, and the ability to thrive in a fast-paced and collaborative environment. Shipwell strives to have an inclusive work environment; so if you are hard-working & good at what you do then please come as you are. We want you to contribute, grow, & learn at Shipwell.
  We are looking forward to adding new perspectives to our team!
  For more information about Shipwell visit shipwell.com, or connect with us on Twitter @shipwell, LinkedIn, and Facebook.com/Shipwellin

ABOUT THE ROLE

As a Data 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 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