DICK'S Sporting Goods · 2 weeks ago
Senior Machine Learning Engineer - Search (REMOTE)
United States
Full-time
Remote
Mid, Senior Level
$83K/yr - $138K/yr
6+ years expDICK’S Sporting Goods is a leading sports retailer committed to creating an inclusive workforce. The Senior Machine Learning Engineer (Search) will lead the development of AI-driven search experiences, building scalable ML solutions that enhance product discovery and operational intelligence.
Consumer GoodsE-CommerceSporting GoodsSports
Responsibilities
Architect and implement large-scale search and ranking systems
Build robust ML pipelines for training, evaluation, and deployment
Optimize distributed systems for low latency, high throughput, and fault tolerance
Ensure models are production-ready with monitoring, logging, and automated retraining
Integrate ML models into search infrastructure (retrieval, ranking, query understanding)
Work with embeddings, transformers, and vector search technologies to improve relevance
Scale experimentation frameworks to support rapid iteration and safe rollouts
Design Cloud deployment architecture for deploying ML models as APIs for real-time inference with Caching
Develop and maintain APIs for machine learning models to facilitate integration with other systems and applications
Implement observability for search metrics (latency, relevance, clickthrough)
Work closely with the Machine Learning Platform team to develop and maintain the ML platform to meet business and science objectives utilizing cutting edge tools and techniques
Partner with product managers and data scientists to translate ideas into production systems
Understand latest research in the field of search and give inputs to enterprise roadmaps to ensure we are on the path to build Best in Class search & relevancy systems
Qualification
Required
Deep expertise in traditional machine learning algorithms
Strong grasp of cutting-edge AI/GenAI techniques applied to enterprise-scale search systems
Experience in architecting and implementing large-scale search and ranking systems
Ability to build robust ML pipelines for training, evaluation, and deployment
Experience optimizing distributed systems for low latency, high throughput, and fault tolerance
Ensuring models are production-ready with monitoring, logging, and automated retraining
Integrating ML models into search infrastructure (retrieval, ranking, query understanding)
Working with embeddings, transformers, and vector search technologies to improve relevance
Scaling experimentation frameworks to support rapid iteration and safe rollouts
Designing Cloud deployment architecture for deploying ML models as APIs for real-time inference with Caching
Developing and maintaining APIs for machine learning models to facilitate integration with other systems and applications
Implementing observability for search metrics (latency, relevance, clickthrough)
Collaborating closely with the Machine Learning Platform team to develop and maintain the ML platform
Partnering with product managers and data scientists to translate ideas into production systems
Understanding latest research in the field of search and giving inputs to enterprise roadmaps
Preferred
Master's Degree or Equivalent Level in quantitative fields like computer science, engineering, physics, mathematics, etc
4+ years of experience in software engineering for ML systems (search, recommendation, or large-scale distributed systems)
Experience in API engineering, including designing, developing and maintaining APIs
Languages & Tools: Python, Java/Scala, C++
ML Frameworks: TensorFlow, PyTorch
Data & Infra: Spark, Kafka, Kubernetes, Docker
Search Systems: Elasticsearch, Solr, or custom retrieval engines
Solid understanding of distributed systems, APIs, and cloud infrastructure (Azure, AWS, or GCP)
Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.)
Comfortable presenting results to cross functional partners and helping them understand technical trade offs
Brings a collaborative, problem solving and growth mindset to all interactions with a strong focus on delivery
Experience with vector databases and large-scale embedding retrieval
Familiarity with reinforcement learning for ranking
Background in eCommerce or consumer-facing search systems
Strong focus on reliability, scalability, and performance tuning
Benefits
Incentive
Equity
Benefits
Company
DICK'S Sporting Goods
Dick's Sporting Goods is an authentic full-line sporting goods retailer offering a broad assortment of brand name sporting goods equipment
10001+ employees
H1B Sponsorship
DICK'S Sporting Goods has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (17)
2024 (15)
2023 (13)
2022 (19)
2021 (14)
2020 (19)
Funding
Current Stage
Public CompanyTotal Funding
$3.5B2025-06-06Post Ipo Debt· $2B
2022-01-14Post Ipo Debt· $1.5B
2002-10-16IPO
Leadership Team
Edward W. Stack
Chief Executive Officer & Founder
Lauren Hobart
President and CEO; Member of Board of Directors
Recent News
2026-01-07
2026-01-07
2026-01-05
Company data provided by crunchbase