Snap Inc.
Manager, Machine Learning Engineering, User & Friends
Snap Inc., Los Angeles, California, United States, 90079
Overview
Manager, Machine Learning Engineering, User & Friends. Snap Inc. is a technology company focused on building products that help people express themselves, live in the moment, learn about the world, and have fun together. We are looking for a Machine Learning Engineering Manager to join the User & Friends 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 to deliver the best Snapchat content to drive user growth.
Collaborate with product teams across Snap to define the architecture and vision of the system, and grow the team beyond the initial scope.
Build an evaluation system to drive rapid iteration and high-quality decision making by working closely with Data Science and Product partners to define success metrics.
Build and grow a high-performing team by upleveling engineering and ML excellence and influencing company-wide ML strategy.
Knowledge, Skills & Abilities
Deep understanding of machine learning approaches, algorithms and their application to recommender and search systems.
Experience utilizing large language models for tasks such as keyword extraction, description generation, and semantic relevance judging.
Experience with Search Engine Optimization.
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, internally and externally.
Proficiency in managing and solving ambiguous problems.
Minimum Qualifications
Bachelor’s degree in computer science or related technical field, 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 focusing 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 with large-scale ML frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.
Compensation and Location In the United States, work locations are assigned a pay zone which determines the salary range. Starting pay is determined based on skills, experience, location, and market conditions and may be negotiable within the range. Zone ranges include:
Zone A (CA, WA, NYC): $229,000-$343,000
Zone B: $218,000-$326,000
Zone C: $195,000-$292,000
This position is eligible for equity in the form of RSUs.
Additional Information We are an Equal Opportunity Employer. Snap is committed to employment opportunities regardless of race, religious creed, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, age, sexual orientation, veteran status, or any other protected status, in accordance with applicable laws. EOE, including disability/vets.
We welcome applicants with disabilities or special needs who require accommodations during the application process. Additionally, Snap supports a "default together" policy and encourages in-office collaboration as part of our culture.
Referrals increase your chances of interviewing at Snap Inc. Get notified about new Manager of Machine Learning jobs in Los Angeles, CA.
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Manager, Machine Learning Engineering, User & Friends. Snap Inc. is a technology company focused on building products that help people express themselves, live in the moment, learn about the world, and have fun together. We are looking for a Machine Learning Engineering Manager to join the User & Friends 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 to deliver the best Snapchat content to drive user growth.
Collaborate with product teams across Snap to define the architecture and vision of the system, and grow the team beyond the initial scope.
Build an evaluation system to drive rapid iteration and high-quality decision making by working closely with Data Science and Product partners to define success metrics.
Build and grow a high-performing team by upleveling engineering and ML excellence and influencing company-wide ML strategy.
Knowledge, Skills & Abilities
Deep understanding of machine learning approaches, algorithms and their application to recommender and search systems.
Experience utilizing large language models for tasks such as keyword extraction, description generation, and semantic relevance judging.
Experience with Search Engine Optimization.
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, internally and externally.
Proficiency in managing and solving ambiguous problems.
Minimum Qualifications
Bachelor’s degree in computer science or related technical field, 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 focusing 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 with large-scale ML frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.
Compensation and Location In the United States, work locations are assigned a pay zone which determines the salary range. Starting pay is determined based on skills, experience, location, and market conditions and may be negotiable within the range. Zone ranges include:
Zone A (CA, WA, NYC): $229,000-$343,000
Zone B: $218,000-$326,000
Zone C: $195,000-$292,000
This position is eligible for equity in the form of RSUs.
Additional Information We are an Equal Opportunity Employer. Snap is committed to employment opportunities regardless of race, religious creed, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, age, sexual orientation, veteran status, or any other protected status, in accordance with applicable laws. EOE, including disability/vets.
We welcome applicants with disabilities or special needs who require accommodations during the application process. Additionally, Snap supports a "default together" policy and encourages in-office collaboration as part of our culture.
Referrals increase your chances of interviewing at Snap Inc. Get notified about new Manager of Machine Learning jobs in Los Angeles, CA.
#J-18808-Ljbffr