Snap
Snap Inc is a technology company that believes the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The company’s three core products are Snapchat, a visual messaging app that enhances relationships with friends, family, and the world; Lens Studio, an augmented‑reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.
Position Overview We’re looking for a Machine Learning Engineering Manager to join the Content Ranking team at Snap.
What you’ll do:
Lead a team of machine learning and software engineers in developing and optimizing a personalized video recommendation engine.
Define the overall architecture of the content recommender system, ensuring scalability, performance, and reliability.
Drive rapid iteration without compromising quality by collaborating closely with infrastructure engineers to build robust machine learning infrastructure.
Evaluate technical tradeoffs in key decision‑making processes to ensure optimal outcomes; conduct A/B testing and analyze performance metrics to continuously improve the system.
Perform design and code reviews to raise the technical excellence bar.
Knowledge, Skills & Abilities:
Deep understanding of machine learning approaches, algorithms, and their application to recommender systems.
Experience setting the direction for teams focused on developing online ranking and recommendation models.
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 in a related technical field such as computer science or equivalent years of experience.
8+ years of post‑Bachelor’s ML industry experience; or Master’s degree in a technical field + 7+ years of post‑grad ML experience; or PhD in a related technical field + 4+ years of post‑grad ML experience.
1+ year’s experience leading machine learning teams that focus on ranking and/or recommendations.
Preferred Qualifications:
Experience with real‑time recommendation systems.
Experience working with large‑scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit‑learn, or related frameworks.
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.
Disability Accommodation If you have a disability or special need that requires accommodation, please provide us with the necessary information.
Default Together Policy at Snap At Snap Inc., we believe that working in person helps us build our culture faster, reinforce our values, and serve our community, customers, and partners better through dynamic collaboration. We practice a “default together” approach and expect team members to work in an office 4+ days per week.
Equal Opportunity Employment At Snap, we believe that a team of diverse backgrounds and voices creates innovative products that improve the way people live and communicate. Snap is proud to be an equal‑opportunity employer, 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.
Benefits Snap Inc. provides a comprehensive benefits package built around your needs, including paid parental leave, medical coverage, emotional and mental health support programs, and compensation packages that 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 starting pay will be based on job‑related skills, experience, qualifications, work location, and market conditions and may be negotiable within the salary range for the position. Pay zones may be modified in the future.
Zone A (CA, WA, NYC): $229,000–$343,000 annually.
Zone B: $218,000–$326,000 annually.
Zone C: $195,000–$292,000 annually.
This position is eligible for equity in the form of RSUs.
#J-18808-Ljbffr
Position Overview We’re looking for a Machine Learning Engineering Manager to join the Content Ranking team at Snap.
What you’ll do:
Lead a team of machine learning and software engineers in developing and optimizing a personalized video recommendation engine.
Define the overall architecture of the content recommender system, ensuring scalability, performance, and reliability.
Drive rapid iteration without compromising quality by collaborating closely with infrastructure engineers to build robust machine learning infrastructure.
Evaluate technical tradeoffs in key decision‑making processes to ensure optimal outcomes; conduct A/B testing and analyze performance metrics to continuously improve the system.
Perform design and code reviews to raise the technical excellence bar.
Knowledge, Skills & Abilities:
Deep understanding of machine learning approaches, algorithms, and their application to recommender systems.
Experience setting the direction for teams focused on developing online ranking and recommendation models.
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 in a related technical field such as computer science or equivalent years of experience.
8+ years of post‑Bachelor’s ML industry experience; or Master’s degree in a technical field + 7+ years of post‑grad ML experience; or PhD in a related technical field + 4+ years of post‑grad ML experience.
1+ year’s experience leading machine learning teams that focus on ranking and/or recommendations.
Preferred Qualifications:
Experience with real‑time recommendation systems.
Experience working with large‑scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit‑learn, or related frameworks.
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.
Disability Accommodation If you have a disability or special need that requires accommodation, please provide us with the necessary information.
Default Together Policy at Snap At Snap Inc., we believe that working in person helps us build our culture faster, reinforce our values, and serve our community, customers, and partners better through dynamic collaboration. We practice a “default together” approach and expect team members to work in an office 4+ days per week.
Equal Opportunity Employment At Snap, we believe that a team of diverse backgrounds and voices creates innovative products that improve the way people live and communicate. Snap is proud to be an equal‑opportunity employer, 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.
Benefits Snap Inc. provides a comprehensive benefits package built around your needs, including paid parental leave, medical coverage, emotional and mental health support programs, and compensation packages that 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 starting pay will be based on job‑related skills, experience, qualifications, work location, and market conditions and may be negotiable within the salary range for the position. Pay zones may be modified in the future.
Zone A (CA, WA, NYC): $229,000–$343,000 annually.
Zone B: $218,000–$326,000 annually.
Zone C: $195,000–$292,000 annually.
This position is eligible for equity in the form of RSUs.
#J-18808-Ljbffr