Verve

Senior Machine Learning Engineer

Senior Data Scientist

Senior Backend Engineer (Java, Go)

Verve seeks a Senior ML Engineer with 5+ years of experience in AdTech, proficient in Python, SQL, TensorFlow, Sklearn, and experience in building ML systems from concept to production.  Strong statistical analysis, data mining, and machine learning skills are essential.

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 Job Description Who We Are 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 13 offices across the globe and with an eye 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 <a class="app-aware-link " target="_blank" href="https://www.verve.com/" data-test-app-aware-link="">www.verve.com</a>. 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: <ul><li>Audience-focused, which includes segmenting users for targeting and market research</li><li>Exchange-focused, which includes optimizing the flow of traffic between supply and demand partners and maximizing revenue </li></ul>
What You Will Do DOMAIN In this role your main focus would be on our Ad-Exchange Optimization projects <ul><li>Win Price Prediction in various auctions setups - 1st price, 2nd price, Waterfall</li><li>Supply forecasting — Modeling time dependent supply availability, </li><li>Demand forecasting — Modeling time dependent demand interest,</li><li>Inventory valuation — Assessing true value of inventory in open market,</li><li>Traffic Shaping — Time dependent supply and demand matching. </li></ul>
Research and Development Our Machine Learning Engineer role includes the following responsibilities: <ul><li>Designing, developing, and researching cutting edge Machine Learning systems, models, and schemes in many different areas of Adtech</li><li>Developing real-time algorithms for exchange optimization</li><li>Discovering insights/patterns in exchange data, and developing methods to leverage/extract/process/analyze complex, high volume, high-dimensional datasets</li><li>Designing experiments, overseeing A/B testing, evaluating the quality of derived assets, and developing dashboards to continuously monitor model performance</li><li>Studying, transforming, and converting data science prototypes,</li><li>Searching and selecting appropriate data sets</li><li>Performing statistical analysis and using results to improve models</li><li>Training and retraining ML systems and models as needed</li><li>Identifying differences in data distribution that could affect model performance in real-world situations</li><li>Visualizing data for deeper insights</li><li>Analyzing the use cases of ML algorithms and ranking them by their success probability</li><li>Understanding when your findings can be applied to business decisions</li><li>Reducing business problems into optimization problems</li><li>Supporting, maintaining, and enriching existing ML frameworks and libraries</li><li>Verifying data quality and/or ensuring it via data cleaning </li></ul>
Collaborative Work <ul><li>Work closely with product, engineering, and sales teams to drive the use of Data Science across Verve</li><li>Collaborate with our audience-focused Data Science team</li><li>Design end-to-end Data Science Products, working closely with the data and backend engineering teams</li><li>Collaborate with teams across the globe in different time zones</li><li>Extend successful solutions and optimization to sister companies in Verve </li></ul>
Job Requirements What You Will Bring <ul><li>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</li><li>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</li><li>Experience in taking data science projects from concept to production in an industry setting</li><li>Fluent in statistical analysis, data mining, and machine learning</li><li>Strong application and ML development experience in Python, functional as well as object oriented programming</li><li>Proficient in SQL, PySpark, TensorFlow, Sklearn</li><li>Experience with developing or supporting high-performance APIs</li><li>Enthusiasm for solving interesting problems</li><li>Willingness to learn and work in a team-oriented and constantly changing environment </li></ul>
Nice to have Previous experience in <ul><li>Auction optimization</li><li>Highly imbalanced classification problems</li><li>Game theory</li><li>Time series forecasting</li><li>State-space modeling</li><li>Function-Approximation Algorithms </li></ul>
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: <ul><li>Technologies:</li> <ul><li>GCP and AWS</li><li>BigQuery</li></ul>
<li>DevOps tooling:</li> <ul><li>CI/CD</li><li>Docker</li><li>Airflow</li><li>Kubernetes</li><li>Grafana</li></ul>
<li>Other:</li> <ul><li>Challenging constraints (high volume, low latency)</li><li>Integrating with high-performance technologies</li><li>Efficient work with Big Data (wrangling, modeling, low latency inference)</li><li>Developing data-driven products </li></ul>
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What We Offer <ul><li>Join one of the top privacy-first omnichannel ad platforms and gaming companies</li><li>Be part of a multicultural team (55+ nationalities) that is bringing advertising to the next level</li><li>Benefit from working with some of the most experienced professionals in our industry and constantly grow with us</li><li>You will learn and evolve in an empowering environment characterized by entrepreneurial actions</li><li>Responsibility, independence, and an opportunity to participate in projects that have a significant impact on Verve Group’s success</li><li>3 Wellness days per year to help you maintain your well-being (in Q1, Q2 and Q3 after min. 90 days of employment)</li><li>Enhance your professional skills with a yearly training budget and improve your language skills through German and/or English classes. </li><li>Work and Travel Program (monthly raffle after 2 years of employment)</li><li>We are happy to build a great team together and we appreciate your help through our Employee Referral Bonus </li><li>Align your interests with the company's success and take part in our Employee Shares Purchase Plan </li><li>You will be entitled to 18 holidays per year in addition to any of the public/bank holidays</li><li>Personalized Benefits Platform; with a budget of 4100 INR/month, you can choose the benefits that fit you best from the following options:</li> <ul><li>Mobility and travel</li><li>Entertainment and food</li><li>Fitness and health care</li></ul>
<li>Enjoy food and beverage benefits with colleagues and have fun during team events</li><li>Medical insurance for self and family </li></ul>
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. 
 
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