Llm Developer Jobs

1 job found

Today

Staff Machine Learning Engineer

Estee Lauder New York, NY

New York, NY

Today

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

Apply Now

Job Description

The Staff Machine Learning Engineer (player-coach) will design, build, test, and deploy production agentic and LLM-powered AI products, along with the platform capabilities that support them. This role combines software-engineering rigor for stateful and transactional systems with practical classical ML and experimentation, operating primarily on Google Cloud.

Responsibilities

Design, build, test, and deploy production agentic and LLM-powered products end-to-end on Google Cloud, including the shared platform, tooling, and harnesses beneath them.
Apply strong software-engineering rigor to services that include stateful and transactional (OLTP) systems, with attention to data modeling, concurrency, idempotency, reliability, observability, and testing.
Use classical machine learning, statistics, and experimentation when appropriate, including predictive modeling, statistical inference, hypothesis testing, and causal or incrementality measurement.
Build scalable tools for automation across recommendation and personalization, conversational and customer experiences, and measurement and incrementality.
Write design documents, uphold standards for clean code and documentation, and review designs and deliverables produced by others.
Mentor and grow engineers and scientists, including support for early-career and student mentorship efforts.
Partner with engineering, product, and domain-expert teams on cross-functional automation, measurement, and modeling initiatives.
Participate in Estee Lauder’s diversity and inclusion agenda.

Requirements

BS/BA in a quantitative or technical field (examples include Computer Science, Statistics, Mathematics, Physics, Engineering, Operations Research, Economics) or equivalent practical experience; a graduate degree is a plus.
5+ years of experience (3+ with a graduate degree) across Software Engineering, Machine Learning, and/or Data Science.
Strong general software engineering in Python, including clean API and service design, proficiency with data structures and algorithms, and disciplined testing. Experience building and operating production-grade services, including stateful or transactional systems and databases (SQL and/or NoSQL).
Experience deploying and operating LLM-powered or agentic systems in production (such as retrieval-augmented generation, agents and tool use, structured outputs, evaluation, and safety) or a strong production-ML background with a clear interest in this work.
Experience deploying and operating systems on a major cloud platform, with scalable data-processing practices (Google Cloud is a plus).
Uses agentic or AI-assisted development tools, or is eager to adopt them with strong judgment about where they help and how to maintain quality.
A track record of mentorship, continuous learning mindset, bias for simplicity, and a collaborative shared-ownership approach.

Technologies

Python
Google Cloud
SQL
NoSQL
Retrieval-augmented generation
LLM-powered systems
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 the possibility for overachievement
Participation in the share incentive plan

Preferred / Strong Plus

Depth in classical ML, data science, and 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 the stack: 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.
Exact salary depends on factors such as experience, skills, education, and budget.
Salary range may vary based on geographic location.
In addition to base salary, the position is eligible for participation in a highly competitive bonus program and participation in the share incentive plan.

Location

New York, NY (onsite)

View full job page →

Get Llm Developer Jobs alerts

New Llm Developer Jobs, daily.