Senior Machine Learning Engineer

Infrastructure

Confirmed live in the last 24 hours

Locations

San Carlos, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Data Analysis

Data Science

C/C++/C#

Java

Pytorch

Tensorflow

Python

Requirements

4+ years software engineering experience using one or more modern languages such as C#, C++, Go, Java, Python
2+ 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

Desired Qualifications

Experience with machine learning frameworks (e.g. TensorFlow, PyTorch)
Experience with machine learning model architectures
Experience working with large-scale distributed systems
Experience mentoring engineers

About MOLOCO

Moloco’s goal is to make the digital economy more equitable and profitable by delivering advanced machine learning to companies of all sizes. With Moloco’s machine learning platform for growth and performance, every app publisher and online retailer can now unlock the value of their unique, first-party data for user acquisition, retention, and monetization campaigns.

Founded in 2013, our advanced machine learning engine powers our product portfolio. Moloco Cloud DSP enables performance marketers to quickly scale user acquisition and achieve greater lifetime value through battle-tested prediction models. Moloco Retail Media Platform enables online retailers and marketplaces to establish their own performance ads business.

Our technology is best in class; we received the SMARTIES X silver award for Machine Learning and AI, and Moloco was named the Cross-Industry Winner for Google Cloud Customer Awards.

The company is in hyper-growth mode and we ranked #95 in the Inc. 5000 fastest-growing private companies for 2022. We ranked #91 among Deloitte’s 2021 Fast 500 and have been certified by 91% of the company via Great Places to Work.

It’s a great time to join this innovative team. Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Seattle, London, Seoul, Singapore, Beijing, and Tokyo. For more information, visit www.moloco.com

About the role

MOLOCO seeks exceptional Backend Software Engineers to join us in building state-of-the-art machine learning infrastructure for our mobile advertising platform. You will be part of the engineering team that builds systems to train deep-neural-network machine learning (ML) models, as well as the infrastructure to deploy them for real-time, high-scale ad targeting.

MOLOCO’s ML capabilities lie at the heart of our ad products used by customers on an everyday basis. Many leading apps worldwide already benefit from MOLOCO’s innovative technology for user acquisition, re-engagement, and monetization. Check out this Moloco Engineering blog post describing how MOLOCO leverages deep neural networks at scale to solve challenging problems for our business.

We’re looking for an engineer who will play a central role in building and supporting the machine learning platforms that will power the future of Moloco’s growth, by developing scalable, fault-tolerant and testable code. You will use backend technologies such as TensorFlow, Kubernetes, Google Cloud Platform, and the Go and Python programming languages. Your work will span our flagship user and advertiser-facing products.

We understand the value of a strong engineering team and strive to hire only the best talent. While tackling challenging real-world problems, you will make a positive impact on millions of mobile users in the world and grow with top-notch colleagues.

Basic Qualifications

4+ years software engineering experience using one or more modern languages such as C#, C++, Go, Java, Python.
2+ 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.

Preferred Qualifications

(We truly encourage you to apply even if you don’t have these)

Experience with machine learning frameworks (e.g. TensorFlow, PyTorch)
Experience with machine learning model architectures
Experience working with large-scale distributed systems
Experience mentoring engineers

201-500 employees

Website

ML-powered advertising insights

Company Overview

Moloco is on a mission to make the digital economy more transparent, equitable, and profitable by making advanced machine learning accessible to companies of all sizes.

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.