Senior Software Engineer

Dotdash Meredith

Senior Software Engineer 1 on the AI/ML Engineering Platform team at People Inc. Building scalable systems, managing ML pipelines, and collaborating on AI-driven features.

Posted 5/22/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $125,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSCloudDockerGoogle Cloud PlatformGrafanaGraphQLJavaScriptKafkaKubernetesNode.jsPythonSparkTypeScript

About the role

Key responsibilities & impact

Design and build systems, manage scalable ML pipelines using Vertex AI Pipelines for training, evaluation and deployment
Develop and maintain data pipelines that support feature generation, model training, and analytics workflows
Own vector generation via Milvus, storage, and retrieval workflows
Implement model serving solutions using KServe and build APIs using FastAPI for low latency inference
Build observability and monitoring for models and pipelines. Track performance, drift, failures, and data quality issues
Collaborate with data scientists, product managers, and platform teams to define and deliver ML driven features
Investigate production issues across data pipelines, models, and services
Identify bottlenecks and improve reliability and performance
Create and maintain clear documentation for pipelines, models, APIs, and operational processes
Develop internal tools and dashboards to provide visibility into data processing and model behavior for stakeholders
Contribute to engineering standards, code quality, and best practices across Python-based services and ML systems
Stay current with ML infrastructure, MLOps practices, and relevant tools

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related field
6+ years of experience building scalable backend systems and services
5+ years of experience developing software using object oriented languages, with strong proficiency in Python, Node.js, and TypeScript
Hands on experience with ES for search, indexing, and relevance tuning
Experience with event driven systems using Apache Kafka for real time data pipelines and processing
Strong understanding of version control systems including Git and platforms like Bitbucket
Experience with observability and monitoring tools such as Grafana, Kibana, and APM
Familiarity with cloud platforms including AWS and GCP, along with containerization using Docker and orchestration with Kubernetes
Comfortable deploying, versioning, and monitoring models in production
Curiosity to learn new technologies, especially in AI, LLMs, and modern search and recommendation systems
Experience designing and building data pipelines using Apache Beam and Apache Airflow for ingestion, transformation, and feature pipelines
Familiarity with experimentation and analytics tools such as Jupyter Notebook and Apache Spark to track and reproduce experiments
Strong experience designing and consuming RESTful and GraphQL APIs, including versioning, documentation, and security practices like OAuth and JWT
Good understanding of machine learning concepts including supervised learning, unsupervised learning, deep learning, and natural language processing, with practical application in ranking, retrieval, and personalization
Beginner level experience managing ML pipelines using Vertex AI Pipelines for training, evaluation, and deployment workflows
Ability to review code, provide clear feedback, and improve overall engineering quality
Strong communication skills. Able to explain technical concepts clearly to both technical and non technical stakeholders
Solid problem solving skills with a data driven approach

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

PythonNode.jsTypeScriptApache KafkaApache BeamApache AirflowRESTful APIsGraphQL APIsMachine LearningMLOps

Soft Skills

Strong communication skillsProblem solving skillsCuriosity to learn new technologiesAbility to review codeCollaboration