Meredith

Meredith

Senior Software Engineer, 1

Remote US · Senior

Sponsorship not specified$125k-$150kDetected 30 days ago
TypeScriptPythonNode.jsFastAPIDistributed SystemsGitElasticsearchVector DatabasesAWSGCPCloud PlatformsDockerKubernetesGrafanaAPI DevelopmentGraphQLRESTKafkaOAuthMachine LearningDeep LearningSparkAirflowData Engineering

About the role

  • 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.
  • Accountabilities, Actions and Expected Measurable Results ( 70%)

Responsibilities

  • 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
  • As a Senior Software Engineer 1, you will collaborate with product owners, Data Science, Platform teams, project managers, and software engineers to create service applications and contribute to the technical roadmap
  • 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
  • Create and maintain clear documentation for pipelines, models, APIs, and operational processes
  • 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

Skills

  • 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
  • Stay current with ML infrastructure, MLOps practices, and relevant tools. Bring in improvements where they add clear value
  • Strong communication skills. Able to explain technical concepts clearly to both technical and non technical stakeholders

Compensation

  • 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

  • We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance.
  • 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

Company info

  • 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!
  • About The Positions Contributions:
  • Investigate production issues across data pipelines, models, and services. Identify bottlenecks and improve reliability and performance
  • 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 advancements in search, ranking, and recommendation systems. Apply them where they make practical impact
  • The Role's Minimum Qualifications and Job Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • You have a strong foundation in modern backend and ML engineering practices and continue to learn and evolve.
  • 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

Visa & Work Authorization

  • 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 id
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