Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
About the role
- Staff Machine Learning Engineer enhancing machine learning capabilities for ad optimization at Snap. Designing and deploying ML solutions while mentoring cross-organizational engineering teams.
Responsibilities
- Set and drive the technical direction for the Ad Ranking team and advance the core ML capabilities of the ad optimization stack
- Design, build, and deploy machine learning solutions to support Snap's monetization strategies
- Own outcomes for large, cross-team ML initiatives, from problem definition through long-term iteration and impact
- Establish technical vision and roadmaps, and resolve complex technical tradeoffs across teams
- Influence and mentor engineers across org boundaries through technical leadership and collaboration
Requirements
- Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
- 8+ years of post-Bachelor’s machine learning experience or Master’s degree in a technical field + 7+ years of post-grad machine learning experience or PhD in a relevant technical field + 4 years of post-grad machine learning experience
- Experience developing machine learning models for ranking, recommendations, search, advertising, image generation, or other relevant applications of machine learning
Benefits
- Paid parental leave
- Comprehensive medical coverage
- Emotional and mental health support programs
- Compensation packages that let you share in Snap’s long-term success
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
Staff AI/ML Engineer at CACI responsible for developing AI/ML algorithms and analyzing datasets. Join a high - performing team supporting national safety missions.
AI/ML Engineer at CACI developing machine learning algorithms for multiple applications. Collaborating with a research team to implement cutting - edge AI/ML solutions for customer missions.
Senior Computer Vision AI/ML Engineer leading a team in AI/ML algorithm implementation for remote sensing solutions. Responsibilities include training models and analyzing datasets with a focus on defense and commercial applications.
MLOps Engineer working on ML processes and robust workflows at Kensho. Collaborating with engineers to enhance tooling, services, and frameworks for machine learning.
Intern working on avionics hardware and software for Blue Origin. Gaining hands - on experience while contributing to space development projects.
Machine Learning Engineer engaged in recommendation and search, NLP, and image processing. Contributing to a major online dating app, Pairs, in Japan.
Senior Scientist II leading innovative AI and machine learning projects in oncology at Tempus. Collaborating with teams to advance predictive modeling and drug R&D initiatives.
Technical leader architecting and deploying advanced Gen AI and ML solutions for Walmart Connect. Driving innovation in ad targeting, personalization, and campaign analytics.