Staff Engineer - Machine Learning
Berlin, Berlin, Germany
Verve Group
Advertisers and publishers make a bigger impact with Verve’s ad solutions, backed by responsible media and teams of experts.Who We Are
We are a global technology leader dedicated to transforming the digital advertising industry through advanced, privacy-focused solutions. Our platform seamlessly integrates data, media, and technology to deliver exceptional results for advertisers and publishers worldwide.Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers—no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and a focus on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at www.verve.com.
Who You Are
We are seeking a Senior ML Engineer to join our growing team. This role will be based in our Bangalore, India office.
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.
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 Verve
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
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
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’s success
3 Wellness days per year to help you maintain your well-being (in Q1, Q2, and Q3)
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 27 holidays per year in addition to any of the public/bank holidays
- Personalized Benefits Platform; with a budget of 100 EUR/month, you can choose the benefits that fit you best from the following options:
Internet allowance
Mobility allowance such as BVG/HVV tickets and car/bicycle rental
Kindergarten, daycare center subsidy
Sport membership and personal development
Shopping vouchers
Enjoy food and beverage benefits with colleagues and have fun during team events
Take advantage of our Employee offers and discounts
Corporate Pension Scheme
Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Airflow APIs AWS Big Data BigQuery CI/CD Classification Computer Science Data Mining Data quality DevOps Docker Economics Engineering GCP Grafana Kubernetes Machine Learning Market research Mathematics PhD Physics Privacy PySpark Python Research Scikit-learn SQL Statistics TensorFlow Testing
Perks/benefits: Career development Salary bonus Startup environment Team events Travel Wellness
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