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Snap
Lead Machine Learning Engineer, Ad Marketplace
Snap · Los Angeles, CA, United States · via Jobs For Stevenage Fans
21 hours ago
Full–time
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Job highlights
Identified by Google from the original job post
Qualifications
In-depth understanding of machine learning and deep learning algorithms with applications in advertising, recommendations, or search domains
Proven experience leading initiatives in recommendation, personalization, or generative AI
Skillful in designing, training, deploying, and optimizing advanced machine learning models for performance and reliability
7 more items(s)
Benefits
Our comprehensive benefits package includes support for health, wellness, parental leave, and more to ensure our employees and their families thrive
The compensation range for this role is as follows: Zone A: $276,000-$414,000, Zone B: $262,000-$393,000, Zone C: $235,000-$352,000 annually, including eligibility for equity compensation
Responsibilities
Lead and shape the technical roadmap for our Ad Marketplace and Pacing teams, enhancing system sophistication and optimizing ad spend and delivery for more efficient auctions
Design, develop, and scale machine learning models to effectively manage and optimize the ad marketplace
Collaborate with cross-functional teams to align on strategies that meet overall company goals
5 more items(s)
Job description
Snap Inc is an innovative technology company dedicated to enhancing the way people live and communicate through the power of the camera. With core products like Snapchat, Lens Studio, and Spectacles, we strive to empower individuals to express themselves and connect with others while having fun.
At Snap, our Engineering teams work diligently to create technically advanced products that serve millions of Snapchatters globally. We prioritize well-being and uphold core values that guide our practices. If you're passionate about machine learning and looking to make an impact, we invite you to explore this exciting opportunity as a Lead Machine Learning Engineer with our Ad Marketplace team!
What You'll Do:
• Lead and shape the technical roadmap for our Ad Marketplace and Pacing teams, enhancing system sophistication and optimizing ad spend and delivery for more efficient auctions.
• Design, develop, and scale machine learning models to effectively manage and optimize the ad marketplace.
• Collaborate with cross-functional teams to align on strategies that meet overall company goals.
• Stay updated on the latest advancements in machine learning technology to address complex challenges innovatively.
• Work with teams to understand product requirements and evaluate solutions to build groundbreaking products or services.
• Promote best practices for availability, scalability, operational excellence, and cost management in our systems.
• Provide technical leadership that inspires and influences the machine learning community.
Knowledge, Skills & Abilities:
• In-depth understanding of machine learning and deep learning algorithms with applications in advertising, recommendations, or search domains.
• Proven experience leading initiatives in recommendation, personalization, or generative AI.
• Skillful in designing, training, deploying, and optimizing advanced machine learning models for performance and reliability.
• Strong software engineering skills focused on clean design and production-readiness.
• Adept at learning new technologies and effectively applying them in complex problem spaces.
• Proficient in solving ambiguous problems and executing intricate technical projects.
• Strong collaboration and mentorship skills, with excellent communication abilities.
Minimum Qualifications:
• 9+ years of post-Bachelor's machine learning experience; or a Master's degree in a technical field with 8+ years of experience; or a PhD in a related field with 5+ years of experience.
• 2+ years of experience in a technical leadership role, acting as an expert within a technical organization.
• Experience with developing and shipping high-performing, scalable machine learning models for recommendations or ranking applications.
Preferred Qualifications:
• Advanced degree in a relevant field such as machine learning, computer vision, or mathematics.
• Experience in online advertising, particularly with ad ranking, auctions, or marketplace optimization.
• Proficiency with deep learning frameworks like TensorFlow or PyTorch.
• Demonstrated success in dynamic, collaborative environments with multiple stakeholders.
• Record of contributing to AI research or publications.
If you require accommodation due to a disability or special need, please provide that information.
Our default approach at Snap emphasizes in-person collaboration for stronger team dynamics and community building. We expect team members to work in the office 4+ days per week.
At Snap, we are committed to creating an inclusive environment and welcome diverse candidates in all aspects of hiring. We are an equal opportunity employer and adhere to laws protecting applicants against discrimination.
Our comprehensive benefits package includes support for health, wellness, parental leave, and more to ensure our employees and their families thrive.
The compensation range for this role is as follows: Zone A: $276,000-$414,000, Zone B: $262,000-$393,000, Zone C: $235,000-$352,000 annually, including eligibility for equity compensation.
Join us at Snap and be a part of our exciting journey!
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aKUBE
Senior Data Engineer – Data Foundations (Databricks, Snowflake, AWS)
aKUBE · Los Angeles, CA, United States · via LinkedIn
5 hours ago
Contractor
No Degree Mentioned
Apply on LinkedIn
Job highlights
Identified by Google from the original job post
Qualifications
Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPT
Databricks
Snowflake
13 more items(s)
Benefits
Rate Range: Max is $96/hr on C2C or $89/hr on W2
Responsibilities
Design and build scalable data pipelines for large datasets
Develop batch and real-time data processing solutions
Work with Databricks, Snowflake, and Redshift for data platforms
5 more items(s)
Job description
Location: Los Angeles, CA
Onsite/ Hybrid/ Remote: Hybrid
Duration: 12 Months
Rate Range: Max is $96/hr on C2C or $89/hr on W2
Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPT
Must Have:
• Databricks
• Snowflake
• Redshift
• AWS (S3, Glue, Lambda)
• Advanced SQL (performance tuning)
• Python
• Airflow or DBT
Responsibilities:
• Design and build scalable data pipelines for large datasets
• Develop batch and real-time data processing solutions
• Work with Databricks, Snowflake, and Redshift for data platforms
• Optimize SQL queries and improve data performance
• Build and maintain workflows using Airflow or DBT
• Ensure data quality, reliability, and governance
• Partner with data scientists to deploy ML models
• Collaborate with teams to translate business needs into data solutions
Qualifications:
• 7+ years of data engineering experience
• Strong experience with AWS data services
• Hands-on coding in Python and SQL
• Experience with distributed data systems and big data tools
