Senior Machine Learning Engineer (Recommendations)

Location: Remote with occasional in-person attendance required. Primary residence must be in or near an approved city in the United States, Canada, or Mexico.

Base salary: USD 170,000–265,000 in California; USD 140,000–252,000 elsewhere in the United States; CAD 179,000–237,500 in Canada.

Company

hirify.global develops digital reading, audiobook, presentation-sharing, and social reading products, including Everand and Fable.

What you will do

• Lead the migration of Fable recommendations to Orion across data, features, training, serving, and experiments while keeping the existing system running.
• Extend rankers, the feature store, and embedding-based retrieval for Fable in partnership with the Orion ML platform team.
• Own production recommendation quality, latency, cost, reliability, and on-call operations.
• Integrate Fable social signals such as shelves, ratings, reviews, book clubs, and reader similarity into recommendations for Fable and Everand.
• Design and analyze A/B tests with product managers and analysts, shape the Premium recommendations roadmap, and deliver work across dependent teams.
• Improve engineering practice through design reviews, code quality, and operational readiness.

Requirements

• 5+ years as a professional ML or software engineer with a track record of shipping production ML systems.
• Hands-on experience building and operating production recommender systems, including collaborative filtering or matrix factorization, two-tower or embedding retrieval, and learned ranking.
• Experience with large-scale data processing using Spark, Databricks, BigQuery, or similar technologies.
• Experience with at least one major cloud, AWS or GCP, including deploying containerized services with Kubernetes, ECS, or similar.
• Experience designing and analyzing online experiments.
• Experience leading projects dependent on other teams and working directly with product managers.
• Bachelor's or Master's degree in Computer Science, or equivalent professional experience.

Nice to have

• Google Cloud experience, especially Vertex AI and BigQuery.
• Experience migrating or replacing a production ML system while keeping it operational.
• Experience with social or graph-based recommendations, including user similarity, follows, or groups.
• Experience with search and semantic retrieval, including Elasticsearch, Vertex AI Search, or vector databases.
• Experience building consumer applications for reading, media, or social products.

Culture & Benefits

• Flexible work model with intentional in-person collaboration and occasional attendance requirements.
• Health, dental, vision, mental health, disability, and family support coverage.
• Paid vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
• Paid parental leave, retirement matching, employee equity, and competitive total compensation.
• Learning and development programs, wellness and home office stipends, and access to hirify.global products and AI tools.