Architect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production.
Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the "lab" to the "real-world", building the high-performance pipelines required to scale them.
Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making.
Escale the Data Platform: Collaborate with Data Engineers to evolve our data lake and ETL architectures, ensuring our data platform remains robust and future-proof.
Ensure System Health: Lead the monitoring and observability strategy for all production models, ensuring reliability and performance through proactive maintenance.
Shape Technical Strategy: Act as a key stakeholder in architectural decisions, helping the broader team define the strategy for our data products and event-driven architectures.

Requirements

A Proven Builder: You have 5+ years of hands-on experience in ML Engineering, with a significant focus (3+ years) on the data engineering side of the house.
Cloud Native: You are an expert in the AWS ecosystem (Sagemaker, DynamoDB) and thrive using Infrastructure as Code tools like Terraform, CDK, or CloudFormation.
Automation Minded: You have a deep understanding of containerization and orchestration, specially using Docker and Kubernetes to deploy scalable workloads.
Technical Polymath: You possess a deep understanding of database systems, ETL architecture, and advance SQL, alongside mastery of Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
Strategic Collaborator: You excel at working across functional lines - Translating Data Science needs into engineering requirements and mentoring others on best practices.
Big Data Enthusiast: You ideally have experience with Snowflake, Databricks, or streaming technologies like Kafka to handle event-base data at scale.

Benefits

Everything you need to work remotely
Unlimited PTO
Medical/dental/vision insurance
401k through Charles Schwab
Flexible Spending Account, Limited FSA, and Health Savings Account- with an eligible health care package.
Company-paid short-term and long-term disability plus basic life insurance.
Family-friendly maternity and paternity leave
Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide.
Paid time off to do volunteer work in your community.
Access to the Wellness Coach app for you and 5 family members

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ML Engineeringdata engineeringETL architectureadvanced SQLPythonTensorFlowPyTorchScikit-learncontainerizationorchestration

Soft Skills

collaborationmentoringstrategic thinkingproblem-solvingcommunication