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1d ago

Staff Machine Learning Engineer

Estee Lauder New York, NY

New York, NY

1d ago

$119k - $197k/yr Full time Backend Developer Agentic Ai AI

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Job Description

Estee Lauder is looking for a Staff Machine Learning Engineer to help design, build, test, and deploy production AI products and the platform that powers them. This player-coach role focuses on engineering rigor for stateful and transactional systems, with agentic and LLM-powered capabilities delivered on Google Cloud.

Working onsite in New York, NY, you will partner across engineering, product, and domain experts to build automation, measurement, and modeling workflows, while mentoring engineers and scientists.

What you’ll do

Design, build, test, and deploy production agentic / LLM-powered products end-to-end on Google Cloud, including shared platform components, tooling, and harnesses.
Bring software-engineering rigor to services that include stateful and transactional (OLTP) systems, covering data modeling, concurrency, idempotency, reliability, observability, and testing.
Use classical ML, statistics, and experimentation when needed, including predictive modeling, statistical inference, hypothesis testing, and causal or incrementality measurement.
Build scalable tools that enable automation across areas such as recommendation and personalization, conversational and customer experiences, and measurement and incrementality.
Author design documents, maintain standards for clean code and documentation, and review designs and deliverables from others.
Mentor and grow engineers and scientists, including support for early-career and student mentorship efforts.
Collaborate cross-functionally on major automation, measurement, and modeling initiatives.
Participate in Estee Lauder’s diversity and inclusion agenda.

What you’ll bring

BS/BA in a quantitative or technical field (for example: Computer Science, Statistics, Mathematics, Physics, Engineering, Operations Research, Economics) or equivalent practical experience; graduate degree a plus.
5+ years of experience (or 3+ with a graduate degree) across Software Engineering, Machine Learning, and/or Data Science.
Strong software engineering in Python, including clean API and service design, data-structure and algorithm fundamentals, and disciplined testing; experience building and operating production-grade services with stateful or transactional systems and databases using SQL and/or NoSQL.
Experience deploying and operating LLM-powered or agentic systems (examples include retrieval-augmented generation, agents and tool use, structured outputs, evaluation, and safety) or a strong production-ML background with interest in moving into this space.
Experience deploying and operating systems on a major cloud platform (with Google Cloud a plus) and solid data-processing practices at scale.
Ability to use agentic / AI-assisted development tools, with judgment on where they help while maintaining quality.
A track record of mentorship, continuous learning, a bias for simplicity, and a collaborative shared-ownership style.

Technologies you may work with

Python, Google Cloud
SQL, NoSQL
Retrieval-augmented generation, LLM-powered, agentic systems
Vertex AI, Cloud Run, BigQuery, Firestore, Pub/Sub
FastAPI
Container-based CI/CD
Model Context Protocol (MCP)

Benefits

Health insurance coverage (medical, dental, and vision insurance)
Wellness and family support programs
Life and disability insurance
Retirement savings plans
Paid leave programs
Education-related programs
Paid holidays and vacation time
Bonus program (highly competitive), with possibility for overachievement
Participation in the share incentive plan

Preferred / strong plus

Genuine depth in classical ML / data science / statistics, including statistical modeling, hypothesis testing and experimentation, causal inference and incrementality, and predictive modeling
Hands-on experience in NLP, agent frameworks, or advanced statistical methods
Familiarity with Google Cloud (Vertex AI, Cloud Run, BigQuery, Firestore, Pub/Sub), async Python (FastAPI), container-based CI/CD, and Model Context Protocol (MCP)
Experience designing a technical roadmap and leading execution in a business environment

Pay range

The anticipated base salary range is $119,300.00 to $196,600.00 per year.
Exact salary depends on factors such as experience, skills, education, and budget.
The salary range may vary based on geographic location.
In addition to base salary, the role is eligible for a highly competitive bonus program and participation in the share incentive plan.

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2mo ago

Senior Data Engineer - Analytics

Everforth CyberCoders Philadelphia, PA 🇺🇸 Remote

Philadelphia, PA

2mo ago Closed

Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Senior Data Engineer - Analytics at Everforth CyberCoders, based in Philadelphia, PA with remote work options, focuses on building scalable analytics infrastructure on Google Cloud Platform while collaborating with data scientists, analysts, and engineers.

Responsibilities

Design and sustain scalable ELT/ETL pipelines with dbt Core and SQL targeting BigQuery.
Create modular, tested SQL models and Python transformations to support analytics, reporting, and ML feature generation.
Establish data quality checks, lineage, and observability to meet analytics SLAs and reliability goals.
Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into efficient data models.
Develop and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; integrate and utilize LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on Google Cloud Platform, using Cloud Run and other serverless infrastructure when suitable.
Optimize BigQuery performance and cost through partitioning, clustering, and query tuning.
Document data models, transformation logic, and runbooks; mentor teammates on best practices for dbt, SQL, and analytics engineering.

Requirements

3+ years of experience in analytics engineering, data engineering, or related roles building analytics pipelines and data models.
Experience working with healthcare claims data.
Expert proficiency in SQL and strong Python experience for data transformation, orchestration, or testing.
Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs into analytics or product workflows.
Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.
For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa.
This job was first posted by CyberCoders on 06/10/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.
Everforth CyberCoders is proud to be an Equal Opportunity Employer.

Technologies

dbt Core
SQL
BigQuery
Python
Google Cloud Platform (GCP)
Cloud Run
Vertex AI
FastAPI
LLM APIs
RESTful APIs

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3mo ago

Senior Data Engineer

Tata Consultancy Services Rosemead, CA

Rosemead, CA

3mo ago Closed

$140k - $160k/yr Full time Senior Bigquery Cloud Run

This position is no longer accepting applications (closed Jun 16, 2026).

Job Description

In Rosemead, Tata Consultancy Services is looking for a Senior Data Engineer to turn a Proof of Concept into a scalable, enterprise-grade data solution on Google Cloud Platform. The role prioritizes ETL, data ingestion, and developing cost-effective, extensible integrations that can support future two-way data flows. This position blends hands-on cloud engineering with a focus on building reliable, maintainable data pipelines.

Responsibilities

Lead the evolution of an existing Proof of Concept into a scalable, enterprise-ready data solution.
Materialize Auto Join outputs on Google Cloud Platform (GCP).
Establish reliable ingestion of Tree Inventory data.
Ensure the solution is cost-efficient, maintainable, and extensible for future two-way integrations.

Requirements

ETL
Big Query/SQL skills
GCP data services
Snowflake
Data orchestration
Cost Optimization
Cloud engineering (services) - Workflows / Cloud Run / GAR

Technologies

BigQuery
SQL
Google Cloud Platform (GCP)
Snowflake
Google Cloud Workflows
Google Cloud Run
GAR

Benefits

Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Location

Rosemead, CA

Job Details

Job Function: Technology
Role: Analyst
Job ID: 410969
Salary: USD 140,000 - 160,000 per year
Education: Bachelor of Computer Science

Desired Skills

ETL Testing

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