Senior Machine Learning Engineer

Remote • Posted 30+ days ago • Updated 9 hours ago
Full Time
Remote
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Recruiting
  • Streaming
  • Training
  • Product Development
  • Management
  • Continuous Integration
  • Continuous Delivery
  • Elasticsearch
  • Accountability
  • Evaluation
  • Reporting
  • Computer Science
  • Mathematics
  • Software Engineering
  • Python
  • Java
  • Modeling
  • Microsoft Certified Professional
  • Servers
  • Microservices
  • Systems Design
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • Microsoft Azure
  • Docker
  • Kubernetes
  • SQL
  • NoSQL
  • Database
  • Data Science
  • Workflow
  • A/B Testing
  • Communication
  • Machine Learning (ML)
  • Health Insurance
  • Professional Development
  • IT Consulting
  • Product Engineering
  • Advanced Analytics
  • Business Acumen
  • Business Transformation
  • Leadership
  • Artificial Intelligence
  • Data Analysis
  • Cloud Computing
  • DevOps
  • Software Modernization
  • Customer Experience
  • GRID
  • Dynamics

Summary

Our client is transforming grocery shopping by giving people time back - shoppers handpick fresh groceries and household essentials and deliver them in as little as one hour. We're hiring a Senior Machine Learning Engineer for our Personalization Platform team within the Membership organization. You'll partner closely with Data Scientists to design, deploy, and scale personalized recommendation and ranking models that drive engagement across the Shipt marketplace. This is a hands-on senior technical role spanning architecture, ML infrastructure, and production systems - from training and serving pipelines to CI/CD and monitoring. If you have an AI-first mindset and enjoy building platforms that make other engineers and scientists more effective, this is your team.

Essential functions
  • Partner with Data Scientists, Product Managers, and peer engineering teams to build and ship AI product features
  • Design, build, and maintain scalable ML infrastructure and production systems, including batch and streaming data pipelines for model training and serving
  • Deploy, serve, and monitor models in public cloud environments via microservices that meet throughput and latency requirements
  • Define best practices for AI product development: pipeline automation, model versioning, deployment, and scalable serving
  • Design and manage CI/CD pipelines for machine learning deployments
  • Integrate models into search and ranking systems (e.g., Elasticsearch first-stage retrieval and downstream ranking services)
  • Own accountability for the implementation of AI product features end to end
  • Use modern monitoring and telemetry tooling to identify, assess, and prioritize platform issues
  • Support experimentation and A/B testing infrastructure, offline evaluation harnesses, and search-quality reporting
  • Stay current on emerging AI/ML technology and bring the best of it to the team

Qualifications
  • MS or PhD in Computer Science, Engineering, Mathematics, or equivalent practical experience.
  • 5+ years in machine learning and backend software engineering.
  • Strong proficiency in Python, plus at least one other backend language (Go or Java preferred).
  • Deep understanding of user modeling, embeddings, similarity search, and ranking models.
  • Strong experience with serving architectures (REST/gRPC APIs, model servers) and low-latency inference.
  • Hands-on experience with modern AI development tooling - MCP servers/clients, PydanticAI, LangGraph, LiteLLM, or similar.
  • Experience with ML pipeline and experiment-tracking tools (MLflow, Kubeflow, Airflow, Weights & Biases, or similar).
  • Solid grasp of distributed systems, microservices, and system design.
  • Cloud experience (AWS, Google Cloud Platform, or Azure) and containerized development (Docker, Kubernetes).
  • Experience with SQL and NoSQL databases and large-scale datasets.
  • Familiarity with the full data science workflow - data ingestion, feature engineering, experimentation, deployment, and monitoring.
  • Exposure to experimentation platforms and online A/B testing.
  • Strong written and verbal communication; able to explain ML results and applications to scientists, engineers, and business partners

We offer
  • Opportunity to work on cutting-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, vision, dental, etc.
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

Please note that all onboardings must occur in person and you may be asked to travel to attend.

About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX145791
  • Position Id: e717b13d2e955c09c029326e83c5e01c
  • Posted 30+ days ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Remote

7d ago

Full-time

210000 - 230000

Remote or Eden Prairie, Minnesota

Today

Full-time

USD 145,500.00 - 249,500.00 per year

Remote

Today

Full-time

USD 160,000.00 per year

Remote or Minnetonka, Minnesota

Today

Full-time

USD 91,700.00 - 163,700.00 per year

Search all similar jobs