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Engineering Post Grad Jobs (NOW HIRING)

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of ... of post-grad software development experience; or a PhD in a related technical field + 5+ years of ...

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of ... of post-grad software development experience; or a PhD in a related technical field + 5+ years of ...

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of ... of post-grad software development experience; or a PhD in a related technical field + 5+ years of ...

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of ... of post-grad software development experience; or a PhD in a related technical field + 5+ years of ...

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of ... of post-grad software development experience; or a PhD in a related technical field + 5+ years of ...

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of ... of post-grad software development experience; or a PhD in a related technical field + 5+ years of ...

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of ... of post-grad software development experience; or a PhD in a related technical field + 5+ years of ...

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How much do engineering post grad jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for engineering post grad in the United States is $31.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $37.98 per hour, depending on experience, location, and employer.

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Manager, Machine Learning Engineering, Web Ads Ranking

Los Angeles, CA • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Snap Inc. is a technology company dedicated to enhancing communication through innovative products like Snapchat. They are seeking a Machine Learning Engineering Manager to lead a team focused on building large-scale systems for ad ranking and retrieval, collaborating with various product teams to define system architecture and success metrics.
Responsibilities:
• 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
Qualifications:
Required:
• Deep understanding of machine learning approaches, algorithms and their application to recommender, ads and search system
• 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
• 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:
• 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
Company:
Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Founded in 2011, the company is headquartered in Venice, USA, with a team of 5001-10000 employees. The company is currently Late Stage.