Senior Machine Learning Engineer

Job Description

Who We Are

Verve Group has created a more efficient and privacy-focused way to buy and monetize advertising. Verve Group is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishersno matter the screen or location, no matter who, what, or where a customer is. With 13 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve Groups solutions are trusted by more than 90 of the United States top 100 advertisers, 4,000 publishers globally, and the worlds top demand-side platforms. Verve Group is a subsidiary of Media and Games Invest (MGI). Learn more at www.verve.com.

We are seeking a Senior ML Engineer to join our growing team. This role will be based in our Bangalore or Pune, India offices.

As Verve brings the capabilities of all players in the ad tech ecosystem (SSPs, Exchange, DSPs, and DMPs) under one umbrella, our Data Science Research currently follows two major tracks covering different aspects:
 Audience-focused, which includes segmenting users for targeting and market research
 Exchange-focused, which includes optimizing the flow of traffic between supply and demand partners and maximizing revenue

What You Will Do

DOMAIN

In this role your main focus would be on our Ad-Exchange Optimization projects
 Win Price Prediction in various auctions setups - 1st price, 2nd price, Waterfall
 Supply forecasting  Modeling time dependent supply availability,
 Demand forecasting  Modeling time dependent demand interest,
 Inventory valuation  Assessing true value of inventory in open market,
 Traffic Shaping  Time dependent supply and demand matching.

Research and Development

Our Machine Learning Engineer role includes the following responsibilities:
 Designing, developing, and researching cutting edge Machine Learning systems, models, and schemes in many different areas of Adtech
 Developing real-time algorithms for exchange optimization
 Discovering insights/patterns in exchange data, and developing methods to leverage/extract/process/analyze complex, high volume, high-dimensional datasets
 Designing experiments, overseeing A/B testing, evaluating the quality of derived assets, and developing dashboards to continuously monitor model performance
 Studying, transforming, and converting data science prototypes,
 Searching and selecting appropriate data sets
 Performing statistical analysis and using results to improve models
 Training and retraining ML systems and models as needed
 Identifying differences in data distribution that could affect model performance in real-world situations
 Visualizing data for deeper insights
 Analyzing the use cases of ML algorithms and ranking them by their success probability
 Understanding when your findings can be applied to business decisions
 Reducing business problems into optimization problems
 Supporting, maintaining, and enriching existing ML frameworks and libraries
 Verifying data quality and/or ensuring it via data cleaning

Collaborative Work
 Work closely with product, engineering, and sales teams to drive the use of Data Science across the Verve Group
 Collaborate with our audience-focused Data Science team
 Design end-to-end Data Science Products, working closely with the data and backend engineering teams
 Collaborate with teams across the globe in different time zones
 Extend successful solutions and optimization to sister companies in Verve Group

Job Requirements

What You Will Bring
 5+ years experience working as a Data Scientist or ML Engineer in industry (preferably in advertising) is a must, where you have gained hands-on experience delivering data science products
 A postgraduate degree in a relevant quantitative field (e.g. applied mathematics, statistics, engineering, computer science, physics, operations research, economics, behavioral sciences). PhD is a strong plus
 Experience in taking data science projects from concept to production in an industry setting
 Fluent in statistical analysis, data mining, and machine learning
 Strong application and ML development experience in Python, functional as well as object oriented programming
 Proficient in SQL, PySpark, TensorFlow, Sklearn
 Experience with developing or supporting high-performance APIs
 Enthusiasm for solving interesting problems
 Willingness to learn and work in a team-oriented and constantly changing environment

Nice to have

Previous experience in
 Auction optimization
 Highly imbalanced classification problems
 Game theory
 Time series forecasting
 State-space modeling
 Function-Approximation Algorithms

What We Also Work With

We work with a wide range of tools, technologies, and processes. The right candidate should have some overlap with the tools listed below, with a willingness to learn new technologies. In this role, you will get hands-on experience with many established and emerging technologies:
 Technologies:
 GCP and AWS
 BigQuery
 DevOps tooling:
 CI/CD
 Docker
 Airflow
 Kubernetes
 Grafana
 Other:
 Challenging constraints (high volume, low latency)
 Integrating with high-performance technologies
 Efficient work with Big Data (wrangling, modeling, low latency inference)
 Developing data-driven products

What We Offer
 Join one of the top privacy-first omnichannel ad platforms and gaming companies
 Be part of a multicultural team (55+ nationalities) that is bringing advertising to the next level
 Benefit from working with some of the most experienced professionals in our industry and constantly grow with us
 You will learn and evolve in an empowering environment characterized by entrepreneurial actions
 Responsibility, independence, and an opportunity to participate in projects that have a significant impact on Verve Groups success
 3 Wellness days per year to help you maintain your well-being (in Q1, Q2 and Q3 after min. 90 days of employment)
 Enhance your professional skills with a yearly training budget and improve your language skills through German and/or English classes.
 Work and Travel Program (monthly raffle after 2 years of employment)
 We are happy to build a great team together and we appreciate your help through our Employee Referral Bonus
 Align your interests with the company's success and take part in our Employee Shares Purchase Plan
 You will be entitled to 18 holidays per year in addition to any of the public/bank holidays
 Personalized Benefits Platform; with a budget of 4100 INR/month, you can choose the benefits that fit you best from the following options:
 Mobility and travel
 Entertainment and food
 Fitness and health care
 Enjoy food and beverage benefits with colleagues and have fun during team events
 Medical insurance for self and family
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