Lead Engineer, Machine LearningPubliée le 11.05.2026
Sephora
Tech
Référence : 287999
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- Localisation :
San Francisco, United States - Type de contrat :
Permanent Job - Mode de travail :
Full Time
Postuler
Le posteLead Engineer, Machine Learning
Votre profilJob ID: 287999
Location Name: CA-FSC SF Off (0174)
Address: 350 Mission St, 20th Floor, San Francisco, CA 94105, United States (US)
Job Type: Full Time
Position Type: Regular
Job Function: Information Technology
Work Location: Hybrid-San Francisco
Your Role at Sephora: Ready for a career glow up? As a
Lead Machine Learning Engineer, you'll be the driving force behind the architecture, engineering, and deployment of cutting-edge AI/ML systems at enterprise scale. The work you do will impact beauty, as you redefine how we inspire and connect with our customers - building the next generation of intelligent, AI-powered experiences across the beauty space. You'll lead a team that's united in beauty, supported by those who are equally passionate about pushing the boundaries of applied AI, engineering excellence, and real-world product impact.
What You'll Do: - Architect & Engineer Production-Grade AI/ML Systems. Design, build, and maintain scalable ML and Agentic AI systems using established engineering design patterns. Lead security-first and reliability-first practices, maintain deep domain expertise in ML systems and LLM infrastructure, and proactively anticipate future technical needs, scalability requirements, and cost implications. (20%)
- Own End-to-End ML Solutions. Engineer and own batch and real-time model serving, agentic pipelines, RAG systems, and LLMOps infrastructure. Build and maintain robust tooling for monitoring, observability, logging, automated testing, performance testing, and A/B experimentation to ensure production reliability and continuous improvement. (20%)
- Establish & Optimize ML Pipelines. Build scalable, efficient, and automated pipelines for data processing, feature engineering, model development, validation, evaluation, and deployment - ensuring reproducibility, quality, and operational excellence across the full ML lifecycle. (15%)
- Deliver High-Quality Code in a Continuous-Release Environment. Write clean, efficient, and well-structured code to deliver AI/ML products iteratively. Uphold high engineering standards including code reviews, CI/CD integration, and test coverage across ML services and agentic workflows. (15%)
- Partner Cross-Functionally to Shape AI/ML Capabilities. Collaborate closely with Product, Engineering, Data Scientists, ML Engineers, and Business stakeholders to define, scope, and plan new AI/ML capabilities - translating business requirements into technically sound, scalable engineering solutions. (10%)
- Drive Delivery Planning & Engineering ROI. Review and prioritize epics and projects with clear breakdown, dependency management, and delivery planning. Proactively identify, communicate, and resolve blockers or delays. Navigate ambiguity and high-pressure situations with decisiveness, applying economic thinking to maximize value delivery. (10%)
- Mentor, Grow & Inspire the Team. Mentor and develop ML Engineers and Data Scientists by promoting best practices in ML engineering, code quality, and operational excellence. Foster a culture of effective communication, continuous feedback, and knowledge sharing. Build strong cross-functional relationships and actively contribute to engineering strategy and the AI/ML product roadmap. (10%)
What You'll Bring: - Deep ML Engineering Expertise. 5+ years hands-on experience in model development, training pipelines, feature stores, model serving, and MLOps/LLMOps - with a proven ability to take systems from experimentation to production at scale.
- Strong Software Engineering Fundamentals. 8+ years proficiency in Python, distributed systems, API design, and cloud-native architectures, with a strong command of engineering best practices including CI/CD, testing, and observability.
- LLM & Generative AI Experience. 3+ years proven experience building and deploying LLM-powered applications, including RAG pipelines, prompt engineering, fine-tuning, and evaluation frameworks.
- Agentic AI & Multi-Agent System Design. Hands-on experience with Agentic AI frameworks such as LangChain, LangGraph, Claude, or similar, with the ability to architect and engineer production-grade multi-agent systems.
- Solid Foundation in Classic ML. Strong understanding of supervised/unsupervised learning, recommendation systems, reinforcement learning, and model evaluation methodologies.
- ML Infrastructure & Tooling Proficiency. Experience with Kubernetes, Docker, Databricks, MLflow, Vector databases, and cloud platforms (AWS, GCP, or Azure).
- Technology-Agnostic Mindset & Continuous Learner. A passion for exploring new ideas, staying current with the latest advancements in AI/ML, and solving complex engineering challenges at scale - bringing those insights back to elevate the team.
- Strong Communication & Cross-Functional Influence. Excellent communication skills with the ability to align stakeholders, influence technical direction, and drive clarity across engineering, product, and business teams.
What You'll Get: The annual base salary range for this position is $191,520.00 - $212,800.00 The actual base salary offered depends on a variety of factors, which may include, as applicable, the applicant's qualifications for the position; years of relevant experience; specific and unique skills; level of education attained; certifications or other professional licenses held; other legitimate, non-discriminatory business factors specific to the position; and the geographic location in which the applicant lives and/or from which they will perform the job. Individuals employed in this position may also be eligible to earn bonuses. This job will be posted for a minimum of five days.
- Caring Community. You'll collaborate with teammates who are equally passionate about innovating and driving the industry forward - together, united in beauty.
- Fulfilling Path. Your career transformation starts here, with opportunities that will challenge, stretch and develop your skills.
- Meaningful Work. As you make an impact on beauty, you'll feel and see the positive change (consumer, industry, and social) that your individual voice is a part of.
Rewards as Unique as You: Some benefits have eligibility requirements and may depend on job classification and length of employment.
- Health. Choose a healthcare plan to fit you and your family's needs with medical, dental, and vision coverage. Sephora also fully covers our employees' disability and life insurance.
- Wealth. We offer a competitive 401k with 4% match as well as FSA and HSA programs. We also offer a Student Debt Retirement plan, where your student loan payments qualify to earn the 401k match from Sephora.
- Balance. You'll be empowered to find the perfect blend of work/life balance that actually works for you with PTO, flexibility, protected leave, and more.
- Growth. Career growth is built into every role, with access to training, development, and tuition reimbursement.
- Perks. Think you've tried it all? Enjoy a 30% discount on all merchandise/services, opportunities for free product or "gratis," and flash sale discounts on LVMH brand products.
- Support. Join a team that truly cares - with free mental health and financial coaching resources with 24/7 access to Modern Health and Financial Finesse. Plus, volunteer and donation matching.
