Open Jobs Lead Engineer, Machine Learning

Job 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 aLead Machine Learning Engineer youll 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. Youll lead a team thats 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 Youll 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 Youll 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 Youll Get:

The annual base salary range for this position is $191520.00- $212800.00 The actual base salary offered depends on a variety of factors which may include as applicable the applicants 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 willperform the employed in this position may also be eligible to earn job will be posted for a minimum offivedays.

• CaringCommunity.Youllcollaborate with teammates who are equally passionateabout innovatinganddrivingthe industry forward together united in beauty.

• Fulfilling Path.Your career transformation starts here with opportunities that will challengestretchand develop your skills.

• Meaningful Work.As you make an impact onbeautyyoullfeel and see the positive change (consumer industryandsocial)thatyourindividual voice is a part of.

Rewardsas Uniqueas 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 familys needs withmedicaldental and vision also fully covers our employees disability and life insurance.

• Wealth.We offer a competitive 401k with4%match as well as FSA and HSA programs. We also offer a Student Debt Retirement plan where your student loan paymentsqualifyto earn the 401k match from Sephora.

• Balance.Youll beempoweredto find the perfect blend of work/life balance thatactuallyworks for youwithPTO flexibilityprotectedleave and more.

• Growth.Career growthis built into every role with access to trainingdevelopmentand tuition reimbursement.

• Perks.Thinkyouvetried it all Enjoya30%discount on all merchandise/services opportunities forfreeproductor gratisand flash sale discountsonLVMHbrandproducts.

• Support.Join a team thattruly cares with free mental health and financial coaching resources with 24/7 access to Modern Health and Financial Finesse. Plus volunteer and donation matching.

Sephora values a diverse andinclusiveworkplaceand considers allapplicants withoutregard to sex pregnancy race color national origin gender (including gender identity and gender expression) age religion sexual orientation military/veteran status disability or any other is committed to providing reasonable accommodationtaapplicantswith disabilities or other medical conditions.

Sephora will consider all qualified applicants including those witharrest and conviction recordsin a manner consistent with the requirements of allapplicable laws including the Los Angeles Fair Chance Initiative for Hiring Ordinance the San Francisco Fair Chance Ordinance and the New York City Fair Chance Act.

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