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Mobile Machine Learning Jobs in Durham, NC (NOW HIRING)

Experience integrating data pipelines, machine learning, or BI tools into product workflows. About Digital Turbine: Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and ...

Mobile App (iOS/Android) build pipelines * NoSQL or SQL database experience * Serverless (esp. with ... Other AWS services not mentioned above (Hosted DBs, SQS, Machine Learning) * Terraform Additional ...

Senior Solutions Engineer

Raleigh, NC ยท On-site

$110 - $160/hr

By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver ... Relevant prior experience in engineering, sales engineering or technical account management; mobile ...

New

Senior AI Performance Architect

Raleigh, NC ยท On-site

$162K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Today, more intelligence is moving to end devices, and mobile is becoming a pervasive AI platform. At the same ...

... machine learning models, and automation frameworks. Beyond writing code, you will play a key role ... mobile applications, or server-based systems. As a senior engineer, you will take ownership of ...

... machine learning models, and automation frameworks. Beyond writing code, you will play a key role ... mobile applications, or server-based systems. As a senior engineer, you will take ownership of ...

... machine learning models, and automation frameworks. Beyond writing code, you will play a key role ... mobile applications, or server-based systems. As a senior engineer, you will take ownership of ...

Test Automation Architect

Raleigh, NC ยท On-site

$120 - $180/hr

... Mobile and Social media platforms.* Design and Implement test automation solutions for key areas ... Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a ...

... Mobile and Social media platforms. * Design and Implement test automation solutions for key areas ... Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a ...

... Mobile and Social media platforms. * Design and Implement test automation solutions for key areas ... Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a ...

Expertise with machine learning and PySpark * Experience with time series forecasting libraries ... mobile, and VR, it is also a tool being embraced by content creators across a variety of industries ...

Expertise with machine learning and PySpark * Experience with time series forecasting libraries ... mobile, and VR, it is also a tool being embraced by content creators across a variety of industries ...

... learning Operator Training * Facilitate classes on heavy equipment operator safety and machine ... Must have the physical capabilities to climb stairs and large pieces of mobile heavy equipment.

... learning Operator Training * Facilitate classes on heavy equipment operator safety and machine ... Must have the physical capabilities to climb stairs and large pieces of mobile heavy equipment.

... learning Operator Training * Facilitate classes on heavy equipment operator safety and machine ... Must have the physical capabilities to climb stairs and large pieces of mobile heavy equipment.

Showing results 21-40

Mobile Machine Learning information

See Durham, NC salary details

$11

$24

$115

How much do mobile machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for mobile machine learning in Durham, NC is $24.47, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $19.52 per hour, depending on experience, location, and employer.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What are some common challenges faced by mobile machine learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

What are the key skills and qualifications needed to thrive as a mobile machine learning engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are the most commonly searched types of Machine Learning jobs in Durham, NC?

The most popular types of Machine Learning jobs in Durham, NC are:

What are popular job titles related to Mobile Machine Learning jobs in Durham, NC?

For Mobile Machine Learning jobs in Durham, NC, the most frequently searched job titles are:

What job categories do people searching Mobile Machine Learning jobs in Durham, NC look for?

The top searched job categories for Mobile Machine Learning jobs in Durham, NC are:

What cities near Durham, NC are hiring for Mobile Machine Learning jobs?

Cities near Durham, NC with the most Mobile Machine Learning job openings:

Software Engineering Manager

Digitalturbine

Durham, NC โ€ข On-site, Remote

Full-time

Posted 13 days ago


Job description

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.

Digital Turbine runs on small, autonomous pods that own outcomes and roadmaps end-to-end. We hire leaders who balance strong technical judgment with people-first management: leaders who can guide team execution, foster engineering excellence, and hire and grow top talent without getting bogged down in language-specific dogma.

As a Software Engineering Manager, you will lead full-stack engineering pods responsible for building the product surfaces that bring our marketplace together-campaign management, unified dashboards, audience tooling, and low-latency supply/demand APIs. You will partner directly with Product Management, Design, and Engineering Directors to align roadmaps, drive high-throughput backend architecture, and maintain operational health across a polyglot stack. While this is primarily a people and delivery leadership role, a strong background in low-latency systems, algorithmic problem-solving, and scalable web surfaces is essential for technical coaching and system design oversight.

About the Software Engineering Manager:

  • People Leadership: Direct-manage a team of Senior, Mid-level and Junior Full Stack Engineers across front-end, back-end, and data domains. Conduct 1:1s, guide career development, handle performance management, and foster an inclusive, high-ownership engineering culture.

  • Execution & Delivery: Partner with Product Leads to translate business goals into clear technical roadmaps, scoping, and sprint execution. Ensure pods consistently deliver robust, reliable product surfaces on time.

  • Technical Oversight: Drive high architectural and quality standards across the team. Coach engineers on API design, service scalability, pushing heavy computational logic to backend services, and front-end performance.

  • Hiring & Team Growth: Lead recruitment efforts to scale the pod, recruiting diverse, top-tier engineering talent and building out sustainable team onboarding processes.

  • Operational Excellence: Ensure overall health, observability, and performance of services owned by your pods. Drive incident management, post-mortems, and equitable on-call practices.

  • Strategic Alignment: Serve as the primary engineering advocate for your pods, collaborating with cross-functional stakeholders and aligning pod delivery with Digital Turbine's broader architecture and business strategy.


About you as the Software Engineering Manager:

  • Experience: 2+ years of direct people management experience leading software engineering teams, coupled with 8+ years of hands-on software development experience building high-scale, production platforms.

  • Technical Breadth: Strong background in full-stack architecture, with a heavy emphasis on distributed back-end systems, API design, data modeling, and low-latency performance. Familiarity with polyglot environments (e.g., TypeScript/React on the front end; Java, Kotlin, Go, Python, or C++ on the back end).

  • Leadership Capabilities: Proven track record in mentoring senior/staff engineers, navigating complex technical trade-offs, and resolving cross-pod dependencies.

  • Process & Delivery: Deep comfort with modern Agile methodologies, CI/CD practices, cloud infrastructure (AWS/GCP), and operational metrics (SLAs, SLOs, system health).

  • Radford Leveling Alignment: Fits an M3 Manager level-demonstrating capability in managing operational/tactical execution, influencing pod-level strategy, and owning performance and career growth for direct reports.

Nice to Have Skills:

  • Experience in AdTech, high-throughput marketplaces, or data-intensive dashboard surfaces.

  • Background managing distributed/remote teams across international time zones (US, Europe, Israel).

  • Experience integrating data pipelines, machine learning, or BI tools into product workflows.

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.