Senior Software Engineer, Fleetio

• Our ideal candidate for this role has a passion for and experience collaborating with others and transforming user experience with AI-enabled solutions
• You have strong, loosely held opinions, are a proactive problem-solver, a data-driven decision maker, and thrive in a fast-paced environment
• You have extensive experience planning, designing, and iterating on end-to-end product features with cross-functional team members and executive leaders
• Your ability to foster adoption and communicate effectively with technical and non-technical team members is key to your success
• This role is a part of the Product Engineering department, and you will report directly to the Chief Technology Officer
• 7+ years experience as a software engineer
• 3+ years experience with Ruby on Rails and Python
• 2+ years building and deploying successful AI-enabled solutions
• Ability to test and validate models
• Familiarity with AI and ML frameworks
• Knowledge in machine learning and associated algorithms (Linear regression, Logistic regression, Decision tree, Bayesian, etc.)
• Excellent written and verbal communication skills
• Bachelor’s or Master’s degree in computer science, mathematics, statistics, data science, or related fields
• Be sure to mention "coffee" in your application so we know you actually read this

Desirable

• Fleetio is looking for a product-minded and team-oriented Senior Software Engineer experienced with data-driven AI experimentation to join our Product Engineering team
• This is an opportunity to shape our AI strategy and build AI-powered features that will transform how fleets operate
• You will partner closely with engineering and product leaders, contributing to Fleetio’s roadmap and influencing the direction of our AI investments
• You will participate in planning, designing, and implementing AI-driven features to increase product and feature adoption
• As a subject matter expert, advise executives and team members on technology, strategy, and policy issues associated with AI
• Develop and train ML models and optimize AI algorithms
• Develop prototypes and validate solutions through fast experimentation
• Partner with product and engineering partners to ideate, design, and implement solutions
• Analyze complex data sets to identify patterns and anomalies to aid in developing relevant and accurate solutions
• Help build data pipelines and cleanse data as necessary to train ML models
• Document AI processes, models, and other relevant areas as necessary
• Make hiring recommendations as necessary to grow and maintain relevant AI skills