Senior Software Engineer, Machine Learning

• Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch
• Lead sprints, conduct rigorous code reviews, and set the “gold standard” for engineering practices across the organization
• Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth
• Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
• Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring
• Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability
• Demonstrate a deep sense of ownership by developing a thorough understanding of a domain
• Proactively propose solutions to gaps or risks in process, technology, software design and architecture
• Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices
• Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity
• In partnership with other leaders, establish best practices across the organization and drive the organization’s standards within the team, leading by example

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience
• 5+ years of experience with Python, object oriented programming and building highly scalable backend services
• 3+ years of experience with relational databases
• 2+ years in a lead or senior-level capacity
• 2+ years of experience designing maintainable and scalable systems
• Proven expertise in system design with a focus on distributed systems and event-driven architectures
• Experience developing cloud-native dockerized applications in Kubernetes
• Experience working with online experimentation and platforms like Statsig
• Understanding of both traditional machine learning and deep neural networks
• Strong communication skills with the ability to articulate, diagram and document complex engineering concepts
• Strong analytical, problem-solving, decision-making, and interpersonal skills
• Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery

Experience with ML ops, model serving and optimization a plus

• Medical, dental, vision, life, and disability coverage
• Matching 401(k) program
• Employee Resource Groups
• Office wide engagement activities, team events, happy hours
• Casual dress code
• CTA and L train stops walking distance from the office
• Bike storage inside of the building
• Access to LifeStart gym in office building
• Free counseling sessions through Employee Assistance Program
• Referral Program
• Company paid holidays, paid vacation time and wellness days
• 100% paid parental leave
• Relocation assistance