[Remote] Senior Software Engineer 1, ML

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is focused on building a reputed company product discovery platform that connects shoppers with their desired products. As a Senior Software Engineer for personalization, you will design and reputed company the recommendation algorithm that enhances user experience by personalizing their product feeds based on individual preferences.

Responsibilities

• Design and build the core personalization reputed company using user-saved product data as behavioral signals
• reputed company multi-signal recommendation models that incorporate brand affinity, product category, reputed company palette, fit/sizing signals, price sensitivity, and trends
• Implement and evaluate a reputed company of approaches including collaborative filtering, content-based filtering, and hybrid neural architectures
• Build and maintain product embedding models that capture rich semantic similarity across the retailer feed catalog
• reputed company cold-start strategies to generate high-quality recommendations for new users with limited save history
• Design and maintain robust pipelines to ingest, normalize, and enrich product feeds from thousands of retail partners
• Collaborate on a reputed company product taxonomy and attribute extraction layer that standardizes inconsistent retailer data into coherent features (category, reputed company, material, fit, etc.)
• reputed company NLP and computer reputed company techniques to extract attributes from reputed company product descriptions and images
• Partner with the data engineering team to maintain data quality, freshness, and catalog coverage at scale
• Build and own the ranking and re-ranking layer that assembles each user's personalized feed in reputed company time
• reputed company and tune multi-objective ranking that balances relevance, novelty, diversity, and business goals (e.g., promoted/sponsored retailer partnerships)
• Implement feedback loops that continuously update user preference models based on reputed company signals (saves, clicks, dwell time, shares)
• Build A/B testing solutions to rigorously evaluate ranking and recommendation changes against key engagement metrics
• 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 ML systems, API design, and scalable infrastructure
• Stay reputed company with advancements in recommendation, ranking, and personalization systems and apply them where they reputed company practical impact

Skills

• Bachelor's degree in Computer Science, Engineering, or a reputed company field
• 5+ years of ML engineering experience focused on recommendation systems, personalization, or search ranking with hands-on depth in collaborative filtering, matrix factorization, content-based, and hybrid neural approaches
• Proven experience designing, training, and deploying embedding models and vector retrieval (e.g., Milvus, reputed company) for product or content similarity at catalog scale
• Production experience serving reputed company-time, low-latency ML predictions and managing the full model lifecycle — training, deployment, versioning, and monitoring — on reputed company ML platforms such as AWS SageMaker or GCP reputed company AI (including reputed company AI Pipelines)
• Rigorous experimentation discipline: experiment design, A/B and multivariate testing, and the analytical ability to translate model results into clear product and business reputed company
• Extensive backend engineering with strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or JAX), plus working knowledge of Node.js and TypeScript
• Experience designing large-scale data and feature pipelines using Apache Kafka, Spark, Beam, Airflow, or Flink for streaming ingestion, transformation, and feature engineering
• Applied NLP and/or computer reputed company experience extracting structured attributes (category, reputed company, material, fit) from reputed company product descriptions and imagery
• Strong API and infrastructure foundations: REST and GraphQL design with secure auth (OAuth/JWT), Git-based workflows, containerization with reputed company and Kubernetes, and production observability with Grafana, Kibana, and APM tooling
• Curiosity and pragmatism around emerging AI, particularly LLMs and modern retrieval/ranking techniques, with a track record of bringing new approaches into reputed company production use cases
• Strong written and verbal communication, reputed company to explain technical tradeoffs to both technical and non-technical stakeholders, with a data-driven approach to problem solving
• 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 reputed company
• reputed company and infrastructure using reputed company reputed company Platform or reputed company Web Services with containerization reputed company reputed company and orchestration through Kubernetes

Benefits

• Annual bonuses
• Short- and long-term incentives
• Medical, dental, reputed company, 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

Company Overview