Senior Software Engineer, ML

🕒 May 15

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Dotdash Meredith

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

📱 Media

Media • Publishing

Dotdash Meredith is America's largest digital and print publisher, known for creating trusted content across a wide range of topics including health, finance, beauty, and home. With a commitment to providing the experiences people want and the answers they need, Dotdash Meredith reaches nearly 200 million people each month through its various brands such as PEOPLE, Investopedia, Serious Eats, and Byrdie. The company offers innovative tools such as the Intent Targeting Tool to enhance its digital advertising capabilities. Dotdash Meredith is recognized for its deep expertise in editorial content and premium publishing, making it a trusted source for both inspiration and essential information.

📋 Description

• own the design, development, and continuous improvement of the recommendation algorithm • build a system that learns each user's unique preferences across brand, category, color, price point, and fit • collaborate closely with product, engineering, and data teams to define what great personalization looks like • design and build the core personalization engine using user-saved product data as behavioral signals • develop multi-signal recommendation models that incorporate brand affinity, product category, color palette, fit/sizing signals, price sensitivity, and trends • implement feedback loops that continuously update user preference models based on implicit signals

🎯 Requirements

• 5+ years of ML engineering experience focused on recommendation systems, personalization, or search ranking • Proven experience designing, training, and deploying embedding models and vector retrieval (e.g., Milvus, Pinecone) • Production experience serving real-time, low-latency ML predictions and managing the full model lifecycle on cloud ML platforms such as AWS SageMaker or GCP Vertex AI • Rigorous experimentation discipline: experiment design, A/B and multivariate testing • Extensive backend engineering with strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or JAX) • Working knowledge of Node.js and TypeScript • Experience designing large-scale data and feature pipelines using Apache Kafka, Spark, Beam, Airflow, or Flink • Applied NLP and/or computer vision experience extracting structured attributes from unstructured product descriptions and imagery • Strong API and infrastructure foundations: REST and GraphQL design with secure auth (OAuth/JWT)

🏖️ Benefits

• medical, dental, vision, prescription drug coverage • unlimited paid time off (PTO) • adoption or surrogate assistance • donation matching • tuition reimbursement • basic life insurance • basic accidental death & dismemberment • supplemental life insurance • supplemental accident insurance • commuter benefits • short term and long term disability • health savings and flexible spending accounts • family care benefits • a generous 401K savings plan with a company match program • 10-12 paid holidays annually • generous paid parental leave (birthing and non-birthing parents) • voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance