Senior Machine Learning Engineer

Key Skills

AWS, Azure, Framework, Google Cloud Platform (GCP), KPIs, SAS

Job Description

Position Overview:

ShyftLabs is searching for a versatile and resourceful ML Engineer with 5+ years of experience. ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Our innovative platforms leverage advanced data-driven technologies, real-time bidding algorithms, and optimization strategies to create highly effective and personalized advertising experiences for consumers. As we continue to build-out our platforms, we are seeking a talented and ambitious ML Engineer to join our dynamic team and lead the development of our real-time bidding and optimization infrastructure.

You will be responsible for optimizing Real-Time Bidding (RTB) auctions happening in the exchange and implementing various algorithms to increase bid rates from Demand Side Platforms (DSPs), maximize revenue, and reduce the cost of processing inventory impressions. This role requires an extensive knowledge of and experience with AdTech concepts such as RTB, as the team will work closely together to brainstorm ideas and test their theories.

Job Responsibilities:

• Design, develop, and maintain a robust real-time bidding system that efficiently handles high-volume bid requests in the retail media landscape.
• Implement bidding strategies that optimize for KPIs while considering factors such as budget constraints, targeting criteria, and user behavior.
• Create advanced machine learning algorithms and optimization techniques to improve ad targeting, relevancy, and user engagement, extending to traffic-shaping algorithms that will help increase fill rates.
• Utilize data mining and statistical analysis to identify patterns, trends, and opportunities for enhancing bid optimization strategies.
• Optimize and scale the bidding infrastructure to accommodate increasing demand and handle real-time auctions efficiently.
• Engage in technical architecture discussions, solve ambiguous problems, and execute a solution with a diverse team of engineers and product owners.
• Work directly with cutting-edge machine learning and distributed computing technologies in a highly scalable, cloud-based environment to optimize metrics related to Real-Time Bidding (RTB).
• Develop and maintain a deep understanding of the advertising industry to guide decisions about our technical approach and key features to implement.
• Use technology to innovate and implement various ad tech features, privacy frameworks, and setup integrations with external partners.

Basic Qualifications:

• MS. in Computer Science preferred or equivalent experience.
• 5 years of relevant experience.
• Must have experience in a high-volume transaction system > 100k transactions/second.
• Must have experience in Real-Time Bidding (RTB) AdTech domain with the successful implementation of Ad Products at an AdTech company.
• Solid understanding of machine learning techniques, including supervised and unsupervised learning, and experience applying them to solve real-world problems.
• Strong grasp of advertising technologies like Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), and real-time bidding protocols (OpenRTB).
• A history of successfully shipping products related to AdTech RTB into production
• Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and distributed computing principles.
• Excellent problem-solving skills, analytical mindset, and attention to detail.
• Strong communication and teamwork skills, with the ability to explain complex concepts to non-technical stakeholders.

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources. This role can be remote anywhere in India.