Manager, Machine Learning Engineering, Web Ads Ranking

Snap; New York (NY); On-site; USD 229,000 - 343,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Equity in the form of RSUs

Job summary

Snap is seeking a Machine Learning Engineering Manager for the Web Ads Ranking team. In this role, you'll lead engineers to develop systems for delivering relevant Snapchat ads and collaborating with product teams to drive architecture and team growth. The ideal candidate has substantial experience in machine learning, specifically in ranking, with excellent leadership skills.

Enjoy benefits like paid parental leave and comprehensive medical coverage, plus a compensation package including RSUs for eligible roles.

Qualifications

• Bachelor’s degree in a related technical field or equivalent experience.
• 8+ years of post-Bachelor’s ML industry experience.
• 1+ year of experience leading ML teams focusing on ranking or recommendations.

Responsibilities

• Lead a team to build large-scale indexing and ranking systems.
• Collaborate with product teams to define architectural vision.
• Build evaluation frameworks and define success metrics.

Skills

Machine learning algorithms

Large language models

Management and mentorship

Collaboration

Problem solving

Education

Bachelor’s degree in Computer Science or related field

8+ years ML experience

Tools

TensorFlow

PyTorch

scikit-learn

Job description

We're looking for a Machine Learning Engineering Manager to join the Web Ads Ranking team at Snap!

What you’ll do:

• Lead a team of machine learning engineers and software engineers to build large-scale indexing, retrieval, and ranking systems that deliver the most relevant Snapchat ads and drive revenue.
• Collaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope.
• Build the evaluation framework that enables rapid iteration and high‑quality decision‑making, working closely with Data Science and Product partners to define success metrics and measure outcomes.
• Build and grow a high‑performing team by raising the bar for engineering and ML excellence, developing talent, and helping shape Snap’s broader machine learning strategy.

Knowledge, Skills & Abilities:

• Deep understanding of machine learning approaches, algorithms and their application to recommender, ads and search systems.
• Experience on utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging.
• Strong management and mentorship skills, fostering a collaborative and innovative team culture.
• Excellent verbal and written communication skills, with meticulous attention to detail.
• Ability to effectively collaborate with stakeholders at all levels, both internally and externally.
• Proficiency in managing and solving ambiguous problems.

Minimum Qualifications:

• Bachelor’s degree in a related technical field such as computer science or equivalent years of experience.
• 8+ years of post‑Bachelor’s ML industry experience; or a Master’s degree in a technical field + 7+ years of post‑grad ML experience; or a PhD in a related technical field + 4+ years of post‑grad ML experience.
• 1+ year of experience leading machine learning teams that focus on ranking or recommendations.

Preferred Qualifications:

• Experience with real‑time recommendation or search ranking systems.
• Experience with building LLM‑based information retrieval or tagging systems.
• Experience working with distributed systems.
• Experience working with machine learning, ranking infrastructures, and system designs.
• Ability to proactively learn new concepts and apply them at work.
• Experience working with large‑scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit‑learn, or related frameworks.

Disability Accommodation

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

Equal Opportunity Employment

Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law.

Our Benefits

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long‑term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job‑related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC): The base salary range for this position is $229,000‑$343,000 annually.

Zone B: The base salary range for this position is $218,000‑$326,000 annually.

Zone C: The base salary range for this position is $195,000‑$292,000 annually. This position is eligible for equity in the form of RSUs.