LHH · 11 hours ago
Data & Applied Machine Learning Engineer
Irvine, CA
Full-time
Hybrid
Senior Level
$150K/yr - $175K/yr
5+ years expLHH is a growing engineering organization in Irvine seeking a Data and Applied Machine Learning Engineer to join their collaborative team. This role combines high-level data engineering with applied machine learning ownership, focusing on building scalable data pipelines and managing the production lifecycle of machine learning models.
Human Resources
No H1B
U.S. Citizen Only
Responsibilities
Design, build, and operate scalable ELT and ETL pipelines ingesting data from IoT devices, smart cart telemetry, video events, operational systems, and external partners
Build and maintain cloud based data infrastructure including SQL and NoSQL databases, data warehouses, and integration systems
Create and maintain canonical data models including schemas, taxonomies, KPIs, and event structures
Implement robust data quality practices including validation rules, automated tests, anomaly detection, monitoring, and alerting
Improve consistency across data producing systems through naming standards, identifiers, timestamps, joins, and deduplication
Perform root cause analysis on pipeline issues and implement durable, long term fixes
Partner with BI and Product teams to build curated datasets, semantic layers, and internal dashboards for visibility into system health
Own the end to end production lifecycle of a smart cart classification model including data collection, labeling, evaluation, threshold tuning, and safe deployment
Build and optimize ML pipelines for feature engineering, model training, deployment, and monitoring in production
Create and maintain evaluation frameworks including repeatable test sets and offline metrics
Monitor model performance for accuracy drift, data drift, and classification error patterns
Collaborate with a separate ML team to incorporate model improvements while maintaining stability in production environments
Work closely with software and systems engineers to integrate the classifier cleanly into product workflows with strong telemetry, logging, and operational documentation
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, Information Systems, Mathematics, Statistics, or related field
5 plus years of experience in data engineering or ML engineering
Strong fluency in SQL and Python
Proven experience building and operating production ELT and ETL pipelines
Experience with cloud platforms Azure or GCP
Hands on experience with orchestration or transformation tools such as Airflow or Prefect
Experience with Spark, Databricks, or similar batch processing frameworks
Strong understanding of data modeling, governance, quality practices, and lineage
Ability to troubleshoot data issues, collaborate with operations teams, and implement production ready solutions
Strong analytical communication and problem solving abilities
Must be a US Citizen or Green Card holder
Benefits
Standard benefits package including medical, dental, PTO, and a 5 percent annual incentive bonus
Company
LHH
At LHH, we believe work should be meaningful, fulfilling, and connected.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Dave Hilbig
President & CEO, OCM-LHH Utah, Wyoming
Ted Diven, MBA
CEO - OCM / Lee Hecht Harrison (ID, MT, NV)
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2025-05-17
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