Principal Machine Learning Data Engineer

At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.

Please note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered.

The Principal Machine Learning Data Engineer is a senior technical expert and thought leader responsible for setting direction for data and ML platforms and solving the most complex, high-impact engineering problems. This role defines technical strategy, influences organizational architecture, and ensures that data and ML capabilities enable long-term business growth. Work is highly self-directed and evaluated on outcomes and strategic impact.

About the Principal Machine Learning Data Engineer: 

• Define and drive the long-term architecture and strategy for data and ML platforms, including data infrastructure, feature platforms, and model serving

• Lead design and delivery of mission-critical, cross-organizational data and ML solutions that require deep technical expertise and strong stakeholder alignment

• Serve as a hands-on expert on complex initiatives, providing guidance on system design, performance, scalability, and reliability

• Partner with senior leadership to identify new opportunities where data and ML can unlock business value and competitive advantage

• Establish and evangelize best practices, patterns, and standards for data and ML engineering, influencing multiple teams and domains

• Mentor and develop senior and lead engineers, raising the overall technical bar of the organization

• Evaluate and introduce emerging technologies, frameworks, and tools in data and ML engineering, making build/buy/partner recommendations

• Represent the organization in high-stakes technical discussions, reviews, and external forums as appropriate

• Proven hands-on experience operating within a marketplace AdTech environment — spanning demand-side optimization, supply monetization, and data pipeline architecture at scale

• Direct ownership of systems or products that sit across the full AdTech stack: bidding infrastructure, yield management, audience data, and measurement

About you as the Principal Machine Learning Data Engineer: 

• Typically 12+ years of experience in data/ML engineering or closely related disciplines, with extensive experience as a senior/lead/principal engineer

• Recognized internally as a subject-matter authority in data and ML engineering

• Applies a systems-thinking approach to complex, ambiguous problems, balancing technical, product, and organizational constraints

• Influences at senior leadership levels and across functions, often driving consensus in areas of disagreement

• Communicates with clarity and impact in both technical and non-technical settings, tying technical choices to business outcomes

• Operates with a high degree of autonomy, setting direction and driving outcomes across teams

• Deep expertise in large-scale data and ML architectures, including streaming, batch, real-time serving, and advanced analytics

• Proven track record of designing and delivering complex, distributed systems in production at scale

• Expert-level proficiency in at least one language used for data and ML engineering (Python, Scala, or Java) and advanced SQL

• Demonstrated experience setting technical strategy, defining architectures, and influencing multiple teams and stakeholders

• Experience in environments with very large data volumes and real-time decisioning (e.g., AdTech, recommendations, marketplaces, personalization)

• Contributions to open-source data or ML projects, or recognized thought leadership (talks, publications, etc.).

• Experience operating in fast-moving, product-centric organizations and aligning technical roadmaps with product and business strategy

About Digital Turbine:

Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices.

The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities around the world, serving top agency, app developer, and advertising markets.

We are honored to have achieved numerous awards as an employer of choice, around the world, including: BuiltIn's Best Places to Work Awards in 2022, 2023 and 2024, DUNS 100 Best Places to Work in Tech for 2023 and 2024, and BDICode's 100 Best Companies to Work in 2024.

Digital Turbine is an equal opportunity employer committed to exemplifying diversity and inclusion around the world. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building and continuously fostering this culture within our teams makes us better collaborators, partners, and innovators.

Digital Turbine will process the information you provide during the application process in accordance with the Digital Turbine Global Recruitment Privacy Notice.