About this opportunity
Meredith Corporation lists this Senior Software Engineer, 1 opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Title
Senior Software Engineer, 1
About The Team
People Inc. is looking for a Senior Software Engineer 1 to join our AI/ML Engineering Platform team. As part of the AI/ML Engineering Platform team, you'll be working on widely used components that help users find ways to consume content on our sites. This includes using technologies such as Vertex AI pipeline, KServe, Kafka, Elasticsearch and Vector Database to leverage the power of AI and ML use cases and build capabilities to recommend related articles, and much more!
Schedule Requirements
Hybrid 3x a week
In-office Expectations
This position is hybrid in-office in NYC, Des Moines, LA, Seattle, or Chicago, with the ability to work remotely for up to 2 days per week.
About The Positions Contributions
Accountabilities, Actions & Expected Measurable Results (70%)
You understand how to design and build scalable distributed systems, backend platforms, compatible with AI/ML infrastructure for search, retrieval, ranking, recommendation, and personalization use cases
You will:
Design and build systems, manage scalable ML pipelines using Vertex AI Pipelines for training, evaluation and deployment to support ranking, retrieval, and recommendation personalization use cases
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. Bring in improvements where they add clear value
Collaborate with product, data science, and frontend teams to deliver high quality search and feed experiences (30%)
Own production systems. Debug issues across indexing, retrieval, ranking, and serving layers
Create clear documentation for pipelines, models, APIs, and system design
Contribute to best practices for Python based ML systems, API design, and scalable infrastructure
Stay current with advancements in search, ranking, and recommendation systems. Apply them where they make practical impact
The Role’s Minimum Qualifications and Job Requirements
Education: Bachelor’s degree in Computer Science, Engineering, or a related field
Experience
You have a strong foundation in modern backend and ML engineering practices and continue to learn and evolve. You bring:
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, with a focus on applying them in real production use cases.
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
Strong problem solving skills with a data-driven approach
Specific Knowledge, Skills, Certifications and Abilities
Core Tech Stack
Backend and API development using Python, FastAPI, Node.js, and TypeScript
Search and indexing using Elasticsearch for relevance, retrieval, and query optimization
Event driven architecture and streaming using Apache Kafka
Vector search and embeddings infrastructure using vector databases such as Milvus or Pinecone
Cloud and infrastructure using Google Cloud Platform or Amazon Web Services with containerization via Docker and orchestration through Kubernetes
Travel Required (Approximate)
0 %
Equal Employment Opportunity
It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing
E-Verify
The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:
Pay Range Salary
Remote: $125,000.00 - $150,000.00. The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of People Inc's total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives.
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
Generous 401K savings plan with a company match program
10-12 paid holidays annually
Generous paid parental leave (birthing and non-birthing parents)
Pet insurance
Accident insurance
Critical and hospital indemnity health insurance coverage
Life and disability insurance
Company Overview
People Inc. is America’s largest digital and print publisher. Our 40+ iconic and fast-growing brands harness the best intent-driven content, the fastest sites, and the fewest ads to help nearly 200 million people every month, including 95 percent of US women, make decisions, take action, and find inspiration. People Inc. brands include PEOPLE, Better Homes & Gardens, Verywell, FOOD & WINE, The Spruce, Allrecipes, Byrdie, REAL SIMPLE, Investopedia, Southern Living and more.
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.