Engineering Manager - Machine Learning

Tech stack: Python/Golang/Java,Javascript,NodeJS,Hadoop,Redis,Aerospike,GCP ML: NLP,Tree Based Models,Reinforcement Learning

What's the job like?

- As an Engineering Lead, you will provide strategic technical guidance to the business/CxO team and lead the operational & development teams that are involved in building , High performance and geographically dispersed scalable/fault tolerant ad serving systems.

- In this role you will manage/work with a team of energized developers, and will be responsible for the entire lifecycle of one or more areas, including architecture, design, coding, deployment etc.

- Understand business requirements, analyze and extract relevant information from large amounts of historical data.Use your knowledge of Information retrieval, NLP, Machine Learning (including Deep Learning) to build prototype solutions keeping scale, speed and accuracy in mind.

- Work with engineering teams to implement the prototype, design appropriate model performance metrics and create reports to track the same. Also identify areas of improvement, jointly develop research agenda and execute on the same using cutting edge algorithms and tools.

- You will need to understand a broad range of ML algorithms and appreciation on how to apply them to complex practical problems.

- Driving the next set of features that need to be built out on our ad platform that will bring more revenue, your work will include doing research on existing advertising products, analyzing data on traffic patterns, feature gap analysis, prioritizing features in an incremental way.

- You will design, analyze, evaluate, architect, implement and tune complex algorithms and Machine Learning models operating on large sets of data in collaboration with Software Engineers, DB engineers and delivering on our vision with a series of well executed projects.

- Utilize advanced data mining and machine learning to personalize the user experience, increase user engagement and improve core business metrics

- Using research and software skills to implement a prototype and report quantitative performance metrics.

- You will work with senior leadership throughout the company to evangelize the tools, services and applications that we build.

- Your work will include doing research on existing advertising products, analyzing data on traffic patterns, feature gap analysis, prioritizing features in an incremental way.

Who should apply for this role?

- 10 - 12+ years of experience in building or managing large scale distributed systems, preferably at a major internet property or well-known startup

- BS/MS degree or equivalent in Computer Science , Mathematics, Statistics or related field

- Experience in research, data analysis, Information technology, analytical, logical and problem solving skills

- Expertise in more than one of the following - Artificial Intelligence, Machine learning, Mathematics, Statistics, Operations Research, NLP, Information Retrieval, Text Mining, Data Mining or related field

- Good grasp on programming fundamentals including OOP, Design Patterns and Data Structures

- Demonstrated ability working within cross-functional teams and aligning engineering roadmaps in close partnership with Product Management, Design and User Research, and Data Science

- Proven ability to use hard data and metrics to back up assumptions and develop project business cases and deciding the right priority.

- Can exhibit passion and enthusiasm for remarkable technology (Knowledge and contribution to open source projects, Active Blog, etc. is a plus)

- Ability to learn emerging technical/business standards and apply/coach development team in proper adoption

- Deep understanding of development processes and has personally contributed to critical product cycles

- You have a strong theory/algorithm background and very good understanding on how to apply advanced knowledge to solve real problems with ability to effectively create research agendas and communicate innovations to the rest of the organization.

- As an individual - it's in your nature to question why things are the way they are.