Location: Remote

Employment Type: Full-time

Team: Engineering

**Who we are: **

Wise Systems is on a mission to optimize the world, helping logistics operations compete in an increasingly dynamic and connected world.

Based in Cambridge, MA, Wise Systems was started out of MIT with the goal of using data to help cities and industries operate in smarter ways. Wise Systems has grown steadily, building an incredible, diverse team that shares a deep commitment to our customers’ success. Wise Systems also has a highly engaged network of advisors, mentors, and investors passionate about enabling new standards and capabilities in delivery and logistics through engineering and data science.

As we continue to grow, we are eager to bring together people who are curious, ambitious, and creative. If you are excited about solving real-world problems and building powerful and cutting-edge products, we need you.

**What we are looking for: **

As a ML Engineer, you will be on the Wise Systems Data Engineering Team. You will also work alongside many different members of the Wise Systems team, from our wider product and engineering teams to our sales and customer experience teams. You will get the opportunity to creatively solve problems, design features, and independently manage your projects.

Responsibilities:

• Writing production-grade code to implement robust data & machine learning pipelines
• Designing and deploying new machine learning-focused features
• Working with a team of data and machine learning engineers to build scalable, end-to-end solutions
• Working with large and varied datasets to create new datasets and process both structured and unstructured data into a form suitable for analysis
• Work directly with customers and our internal customer experience team to ensure satisfaction with machine learning models in use and to understand areas for improvement
• Architecting and designing ML/Data pipelines and applications that are performant, robust, and scalable
• Learning the different AI/data science components/models in order for the algorithm to be properly translated into production code
• Partnering with technology teams to deploy and monitor data/machine learning pipelines
• Designing and implementing solutions that increase the team’s iteration speed
• Researching machine learning techniques and applying them to customer data

Qualifications:

• 3+ years of experience working as a data or software engineer
• 2+ years experience building and deploying customer facing ML models to production
• Ability to work in a fast paced environment with focus on customers
• Enjoy working autonomously as well as working with a team
• Data manipulation and analysis in a professional environment
• Managing & deploying own technology resources
• AWS, Sagemaker, Glue, Python, Spark, Hadoop
• Experience writing infrastructure as code, Terraform is a plus