Senior Machine Learning Engineer

• React
• Ruby on Rails
• AWS
• Sidekiq
• MySQL
• Redis
• Native iOS and Android

• You are excited to design, build, and optimize recommender systems that improve product and content discovery for millions of Babylist users
• You have hands-on experience taking machine learning models from prototype to scalable, production-ready deployments
• You thrive at the intersection of product, data, and engineering, and you enjoy identifying high-value personalization opportunities that drive measurable business impact.
• You are comfortable working in a small, agile pod while also helping shape the broader ML strategy across the organization
• You take ownership of the full ML feature lifecycle-from framing problems with stakeholders to deployment, monitoring, and iteration
• You value robust, well-documented data sets and are excited to advance Babylist's personalization infrastructure without heavy data-cleanup overhead
• You bring deep expertise in SQL and Python for machine learning applications.You have a proven track record of delivering production-grade ML solutions, ideally in recommender systems, personalization, or similar consumer-facing products
• You understand the ML lifecycle end-to-end: experimentation, validation, rollout, and monitoring
• You have experience with distributed training frameworks, workflow orchestration (e.g., Airflow), and model monitoring tools
• You bring relevant domain experience from consumer products such as e-commerce, dating apps, or platforms with complex user journeys
• You are highly autonomous, able to define problem spaces, architect solutions from zero to one, and operate with strong ownership

• Establish Babylist's first machine learning function-defining the roadmap, practices, and long-term vision for personalization at scale
• Translate complex data into high-leverage personalization features that directly improve product discovery, user engagement, and business outcomes
• Accelerate experimentation and deployment by leveraging Babylist's mature data infrastructure and close partnerships with analytics, engineering, and product leaders
• Deliver high-impact ML systems end-to-end, from design to production, with clear visibility into results for millions of users
• Shape Babylist's ML culture by setting technical standards, mentoring peers, and influencing the organization's broader AI strategy

• We invest in the infrastructure you'll need to be supported and successful: tools, opportunities to connect with colleagues, and a stipend to help you set up your office
• We build products that have a positive impact on millions of people's lives
• We work at a sustainable pace which means work/life balance is a real thing here
• We believe technology and data can solve hard problems
• AI plays a meaningful role in how we work, create, and scale-intentionally embedded in our tools, systems, and decision-making to support innovation and real impact
• We believe in exceptional management
• We offer competitive pay and meaningful opportunities for career advancement
• We have great benefits like company paid medical, dental, and vision, a generous paid parental leave policy, and 401k with company match
• We care about employee wellbeing with perks for physical, mental and emotional health, parenting, childcare, and financial planning

Babylist