Senior Software Engineer, ML

Dotdash Meredith

Senior Software Engineer developing personalization algorithms leveraging ML for product recommendations. Collaborating across teams to enhance user-centric shopping experiences with deep analytics.

Posted 5/15/2026full-timeNew York City • Alabama, California, Illinois, Iowa, New York, Washington • 🇺🇸 United StatesSenior💰 $160,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSCloudGoogle Cloud PlatformGraphQLJavaScriptKafkaNode.jsPythonPyTorchSparkTensorflowTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learning engineeringrecommendation systemspersonalizationembedding modelsvector retrievalreal-time ML predictionsbackend engineeringPythonNLPcomputer vision

Soft Skills

collaborationexperiment designA/B testingmultivariate testing