Data Engineer - Seattle, WA
Seattle, Washington, United States
Moloco
Moloco provides machine learning-based advertising solutions to drive growth for businesses of all sizes. Turn your first-party data into revenue.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 Data Team
We are seeking exceptional Software Engineers to join us in building a state-of-the-art mobile advertising platform. We understand the value of a strong engineering team and strive to hire only the best software engineers. 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. Check out our case study published by Google.
- We use various Google Cloud Products, including Bigtable, BigQuery, and Dataflow to manage big data.
- MOLOCO was featured as a customer example in the Data and Analytics Platform Overview at GCP Next'18. You can check out this video for more details about the company and the product (note that the presentation took place in July 2018, and we've grown & improved so much over the past two years!).
What you'll do
- Turn unstructured logs, messages, and events into structured data that can be utilized for analytics, machine learning, and more.
- Implement backend data pipelines for manipulating and managing big data.
- Optimize data processing pipelines with different goals including latency, cost, and throughput.
- Improve existing data pipelines in terms of scalability and efficiency.
- Design and implement fraud prevention/detection algorithms through analyzing complex time-series data.
- Collaborate with other engineers at MOLOCO to build the best mobile advertising platform in the world.
What you'll need to succeed
- BS in Computer Science or related fields (MS preferred)
- 2+ years of hands-on industry experience in software development.
- Excellent software development skills and fluency in at least one programming language (preferably Java, Go, or Python).
- Outstanding problem-solving skills.
- Fluent in English (both verbal and written).
- Experience in Cloud/Big Data platforms (e.g., AWS, GCE, Beam, Spark, etc.) preferred.
- Experience in distributed computing/MapReduce strongly preferred.
All offers of employment are subject to background checks prior to start date. MOLOCO will consider for employment: qualified applicants with criminal histories in manner consistent with applicable local, state, and federal laws and Fair Chance Ordinances.
MOLOCO is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data BigQuery Bigtable Computer Science Dataflow Data pipelines Engineering GCP Google Cloud Machine Learning Pipelines Python Spark
Perks/benefits: Career development Team events
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