We have an exceptional opportunity for a Software Engineering Manager (Machine Learning) who can help us disrupt the logistics industry and take our technology to new heights with data science. We need a leader with both the experience and passion for building stable, durable, and extensible code. We are building brand new, data-intensive software products that are focused on delivery sophisticated tools for our business, customers, and carriers. Big data, machine learning, predictive analytics and cognitive computing are areas we are heavily investing in. We have an established data science program that continues to power decision making and automation. In this position, you'll be managing a team of machine learning engineers, data engineers, and software engineers who partner closely with our Business Data Science team to take solutions from discovery to production with scalable and well-engineered solutions.

C.H. Robinson recognizes the importance of workplace flexibility. We are committed to providing a remote-friendly work environment, both now and in the future. Our global technology teams will continue to have the flexibility that enables you to work where you are most effective, whether that be remote or in the office.

Responsibilities:

• Grow and lead a dynamic and collaborative team of talented machine learning engineers, software engineers, and product managers solving complex business problems in imaginative and innovative ways
• Define and lead technology strategies, team direction, resolve problems, and provide guidance to team
• Partner with our Business Data Science team to define and ensure data science best software engineering practices
• Communicate the team's work to a range of stakeholders and leaders in technology and the business
• Lead efforts to increase the advanced algorithm acumen of technology and business stakeholders
• Release Management - bring technical & business priorities into one plan (include dependency management)
• Collaborate with architects, value owners, project managers, product managers, data scientists, and engineers and support team members to bring machine learning R&D projects from discovery phases into production
• Drive efficiencies and best practices across teams
• Mentor and guide the career development of your members
• Proactively communicate and collaborate with others to drive projects to completion
• Foster continuous learning and innovation

Required Qualifications:

• Minimum of five (5) years of experience within information technology
• Minimum of two (2) years management/leadership experience
• Proficiency with analytic, optimization, database, and data visualization tools - Hadoop ecosystem, Python, Spark, Hive, Kafka, SQL, R and other NoSQL technologies (Elasticsearch, MongoDB. Etc.)
• Bachelor's degree or equivalent work experience

Preferred Qualifications:

• Experience leading machine learning engineering teams
• Expertise in one or more core data science disciplines (e.g., machine learning, artificial intelligence, etc.)
• Proven ability in change management and conflict resolution
• Excellent communication skills - strong verbal, written and presentation skills with the ability to articulate complex solutions and in a relatable way at all levels of the organization
• Analytical, innovative, creative, disruptive, and resilient
• Values a diverse and inclusive work environment

Equal Opportunity and Affirmative Action Employer

C.H. Robinson is proud to be an Equal Opportunity and Affirmative Action employer. We believe in equality for all and celebrate the diversity of our employees, customers and communities. We believe this increases creativity and innovation, drives business growth and enables engaged and thriving teams. We're committed to providing an inclusive environment, free from harassment and discrimination, where all employees feel welcomed, valued and respected.

Affirmative Action Employer/EOE/M/F/Disabled/Veteran

Benefits

About C.H. Robinson

From the produce you buy, to the water you drink, C.H. Robinson delivers products to people all around the globe. We are one of the world's largest 3rd party logistic providers. Join our diverse team to innovate, solve problems, have fun and thrive.