Senior Software Engineer, 1
Dotdash Meredith1 day ago
Chicago, IL, USA +3 moreSenior
Base Salary
$125k - $150k/yr
Responsibilities
- Design and build scalable distributed backend systems and ML infrastructure for search, retrieval, ranking, recommendation, and personalization.
- Manage Vertex AI Pipelines for model training, evaluation, and deployment.
- Develop data pipelines for feature generation, model training, analytics, ingestion, transformation, and processing.
- Own vector generation, storage, and retrieval workflows using Milvus or similar vector databases.
- Implement model serving with KServe and build low-latency APIs with FastAPI.
- Build observability and monitoring for models and pipelines, including performance, drift, failures, and data quality tracking.
- Collaborate with data scientists, product managers, platform teams, frontend teams, project managers, and software engineers to deliver ML-driven features and search and feed experiences.
- Own and debug production systems across indexing, retrieval, ranking, and serving layers while improving reliability and performance.
- Create documentation for pipelines, models, APIs, operational processes, and system design.
- Develop internal tools and dashboards that provide visibility into data processing and model behavior.
- Contribute to engineering standards, code quality, API design, scalable infrastructure, and Python-based ML system best practices.
- Stay current with ML infrastructure, MLOps, search, ranking, recommendation, and related technologies.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 6+ years of experience building scalable backend systems and services.
- 5+ years of software development experience using object-oriented languages, including strong proficiency in Python, Node.js, and TypeScript.
- Hands-on experience with Elasticsearch for search, indexing, and relevance tuning.
- Experience with Apache Kafka and event-driven real-time data pipelines.
- Experience with Git and platforms such as Bitbucket.
- Experience with observability and monitoring tools such as Grafana, Kibana, and APM.
- Familiarity with AWS and GCP, Docker, and Kubernetes.
- Experience deploying, versioning, and monitoring models in production.
- Experience designing and building data pipelines with Apache Beam and Apache Airflow.
- Familiarity with Jupyter Notebook and Apache Spark for experimentation and analytics.
- Strong experience designing and consuming RESTful and GraphQL APIs, including versioning, documentation, OAuth, and JWT security practices.
- Understanding of supervised learning, unsupervised learning, deep learning, and natural language processing, with practical application to ranking, retrieval, and personalization.
- Beginner-level experience managing Vertex AI Pipelines for model training, evaluation, and deployment.
- Ability to review code, provide feedback, communicate technical concepts clearly, and solve problems using a data-driven approach.
- Experience with FastAPI, Elasticsearch, Apache Kafka, Milvus or Pinecone, Google Cloud Platform or Amazon Web Services, Docker, and Kubernetes.
Benefits
- Hybrid schedule with in-office work three days per week in NYC, Des Moines, Los Angeles, Seattle, or Chicago, and remote work up to two days per week.
- Medical, dental, vision, and prescription drug coverage.
- Unlimited paid time off and 10–12 paid holidays annually.
- Adoption or surrogate assistance, family care benefits, and generous paid parental leave.
- Donation matching and tuition reimbursement.
- Life, accidental death and dismemberment, accident, disability, and hospital indemnity insurance options.
- Health savings and flexible spending accounts.
- 401(k) savings plan with company matching.
- Commuter benefits and voluntary pet insurance.
- Annual bonuses and short- and long-term incentives may be available in addition to base pay.
Tech Stack
Apache AirflowApache BeamApache KafkaApache SparkAWSDockerElasticsearchFastAPIGitGoogle Cloud PlatformGrafanaGraphQLJupyter NotebookKibanaKubernetesNode.jsPythonTypeScript
Categories
About Dotdash Meredith
Dotdash Meredith operates consumer media brands across digital and print, monetizing through advertising, affiliate commerce, subscriptions, and licensing. It runs 40+ titles including PEOPLE, Better Homes & Gardens, Allrecipes, The Spruce, Verywell, and Investopedia, reaching nearly 200 million users each month. Based in New York, it was formed in 2021 when IAC’s Dotdash acquired Meredith’s National Media Group, creating the largest U.S. digital and print publisher.