Snap Inc.
Manager, Machine Learning Engineering, User & Friends
Snap Inc., Seattle, Washington, us, 98127
What you’ll do:
Lead a team of machine learning engineers and software engineers to build large scale indexing, retrieval and ranking system to deliver best Snapchat content to drive user growth
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 system to drive rapid iteration and high-quality decision making: work closely with Data Science and Product partners to define success metrics.
Build and grow a high-performing team: uplevel the team’s engineering and ML excellence, and influence the company-wide ML strategy.
Knowledge, Skills & Abilities:
Deep understanding of machine learning approaches, algorithms and their application to recommender and search system
Experience on utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging.
Experience 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, 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 a Master’s degree in a technical field + 7+ year of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience
1 + year(s) of experience leading machine learning teams 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 system
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
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform .
Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
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.
A Decade of Snap Learn about our origin story, values, mission, culture of innovation, and more.
CitizenSnap In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
The DEI Innovation Summit Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
Snap News Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy
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 (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
#J-18808-Ljbffr
Lead a team of machine learning engineers and software engineers to build large scale indexing, retrieval and ranking system to deliver best Snapchat content to drive user growth
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 system to drive rapid iteration and high-quality decision making: work closely with Data Science and Product partners to define success metrics.
Build and grow a high-performing team: uplevel the team’s engineering and ML excellence, and influence the company-wide ML strategy.
Knowledge, Skills & Abilities:
Deep understanding of machine learning approaches, algorithms and their application to recommender and search system
Experience on utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging.
Experience 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, 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 a Master’s degree in a technical field + 7+ year of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience
1 + year(s) of experience leading machine learning teams 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 system
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
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform .
Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
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.
A Decade of Snap Learn about our origin story, values, mission, culture of innovation, and more.
CitizenSnap In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
The DEI Innovation Summit Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
Snap News Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy
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 (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
#J-18808-Ljbffr