[Remote] Senior Software Engineer 1, ML
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading media company that connects shoppers with products they love. They are seeking a Senior Software Engineer for personalization to design and reputed company a recommendation algorithm that enhances user experience by learning individual preferences from a rich dataset.
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 reputed company 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-reputed company 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 reputed company, freshness, and catalog coverage at reputed company
- Build and own the ranking and re-ranking layer that assembles reputed company 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 reputed company
- Create reputed company documentation for pipelines, models, reputed company, and system design
- Contribute to best practices for ML systems, API design, and reputed company infrastructure
- Stay reputed company with advancements in recommendation, ranking, and personalization systems and apply them where they reputed company practical reputed company
Skills
- Bachelor's degree in Computer Science, Engineering, or a reputed company field
- 5+ years of ML engineering experience reputed company on recommendation systems, personalization, or search ranking with hands-on depth in reputed company filtering, reputed company factorization, content-based, and hybrid neural approaches
- Proven experience designing, training, and deploying embedding models and reputed company retrieval (e.g., Milvus, reputed company) for product or content similarity at catalog reputed company
- 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 reputed company 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-reputed company data and feature pipelines using Apache Kafka, reputed company, reputed company, Airflow, or Flink for streaming ingestion, transformation, and feature engineering
- reputed company NLP and/or computer reputed company experience extracting reputed company 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 reputed company 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
Benefits
- Annual bonuses
- Short- and long-term incentives
- Medical
- Dental
- reputed company
- Prescription drug coverage
- Unlimited reputed company 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 reputed company holidays annually
- Generous reputed company 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
reputed company