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Full-Time

Sr. Manager

Machine Learning Infrastructure

Posted on 6/27/2024

Moloco

Moloco

501-1,000 employees

Provides ML-powered advertising and retail media solutions

AI & Machine Learning
Data & Analytics

Senior, Expert

San Carlos, CA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Kubernetes
Python
Data Science
Tensorflow
Java
Data Analysis
Google Cloud Platform
Requirements
  • 8+ years software engineering experience using one or more modern languages such as C#, C++, Go, Java, Python.
  • 8+ years software development experience on backend/infrastructure systems.
  • Strong Computer Science fundamentals and problem-solving skills.
  • Strong software development skills, from requirements to design to implementation.
  • Mastery of multiple skills involved in developing large scale systems, such as integration testing, deployment, monitoring, production troubleshooting, database schema design, or developing data processing pipelines.
  • Experience delivering projects with material impact, through leading project teams of 5+ engineers and collaborating within and across teams and roles (Product Management, SRE, Data Science, ML modeling, etc); or through autonomous ownership of unusually complex projects, from inception to productionization.
  • Experience with TensorFlow and/or C++ performance optimization.
Responsibilities
  • Lead a team of ML engineers working on infrastructure to help the ML team train about 1000 model instances everyday and serve 7M QPS within a latency of 25 milliseconds.
  • Build and support machine learning platforms for Moloco's growth by developing scalable, fault-tolerant, and testable code using backend technologies like TensorFlow, Kubernetes, Google Cloud Platform, Java, and Python.
  • Make a positive impact on millions of mobile users by working on flagship user and advertiser-facing products and collaborating with top-notch colleagues.

At Moloco, employees engage in pioneering the use of machine learning for performance advertising which not only enhances ad spend efficiency but also supports merchant success with advanced contextual recommendations and native advertising solutions. The focus on leveraging first-party data within their cloud DSP and retail media platform establishes a knowledgeable environment ideal for professional growth in the ad-tech industry. This company attracts talent who are eager to contribute to, and grow within, a dynamic sector at the forefront of advertising technology.

Company Stage

Series C

Total Funding

$529.3M

Headquarters

Redwood City, California

Founded

2013

Growth & Insights
Headcount

6 month growth

10%

1 year growth

18%

2 year growth

93%

Benefits

Comprehensive health and wellness: Competitive health, dental, vision and life insurance (covered at 100% for you) and your family.

Professional development: Teach yourself something new and get reimbursed each year for your professional development.

Food and snacks: Enjoy lunch on us. We bring lunch in for employees everyday, In addition, our micro-kitchens are filled with healthy snacks and beverages for you to enjoy

Paid parental leave: Our maternity/paternity leave plan also has you covered when you welcome a new child into your family.

Unlimited vacation: We encourage team members to take time off to relax and recharge with our flexible paid time off policy.

Financial benefits: We provide stock options and generous 401k/pension with an employer match that helps you prepare for your future.