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Mobile Machine Learning Jobs in Austin, TX (NOW HIRING)

Senior iOS developer

Austin, TX · On-site

$55 - $60/hr

This role involves working on both mobile development and server-side Swift, with a focus on ... Integrate AI and machine learning services, utilizing Swift APIs to interact with large language ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Mobile Software Engineer

Austin, TX · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Senior Developer - Cloud (AWS)

Austin, TX · On-site

$165K - $200K/yr

... mobile phones. Through multiple iterations and use cases we are now focused on building the world ... Partner with Product, Research, and Machine Learning teams in designing and delivering scalable ...

Senior Developer - Cloud (AWS)

Austin, TX · On-site

$165K - $200K/yr

... mobile phones. Through multiple iterations and use cases we are now focused on building the world ... Partner with Product, Research, and Machine Learning teams in designing and delivering scalable ...

Senior Developer - Cloud (AWS)

Austin, TX · On-site

$165K - $200K/yr

... mobile phones. Through multiple iterations and use cases we are now focused on building the world ... Partner with Product, Research, and Machine Learning teams in designing and delivering scalable ...

We power campaigns for Apps, Games and Brands across Mobile and CTV using advanced machine learning and optimized creative strategies to deliver results. Smadex is one of the fastest growing DSPs ...

We power campaigns for Apps, Games and Brands across Mobile and CTV using advanced machine learning and optimized creative strategies to deliver results. Smadex is one of the fastest growing DSPs ...

The Staff Software Engineer will create and implement machine learning techniques, collaborating with cross-functional teams to enhance mobile, edge, auto, and IoT products through machine learning ...

Senior AI/ML Engineer, epocrates

Austin, TX · On-site

$103K - $142K/yr

Team summary: athenahealth's epocrates team is seeking a Senior AI/ML Engineer to help build AI and machine learning capabilities that support the platform and mobile products used by more than one ...

Senior AI/ML Engineer, epocrates

Austin, TX · On-site

$103K - $142K/yr

Team summary: athenahealth's epocrates team is seeking a Senior AI/ML Engineer to help build AI and machine learning capabilities that support the platform and mobile products used by more than one ...

Senior AI/ML Engineer, epocrates

Austin, TX

$103K - $142K/yr

Team summary: athenahealth's epocrates team is seeking a Senior AI/ML Engineer to help build AI and machine learning capabilities that support the platform and mobile products used by more than one ...

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Mobile Machine Learning information

See Austin, TX salary details

$12

$25

$118

How much do mobile machine learning jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for mobile machine learning in Austin, TX is $25.10, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $20.00 per hour, depending on experience, location, and employer.

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 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 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 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 most commonly searched types of Machine Learning jobs in Austin, TX? The most popular types of Machine Learning jobs in Austin, TX are:
What job categories do people searching Mobile Machine Learning jobs in Austin, TX look for? The top searched job categories for Mobile Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Mobile Machine Learning jobs? Cities near Austin, TX with the most Mobile Machine Learning job openings:

Machine Learning Engineer - TS with Security Clearance

webAI, Inc

Austin, TX

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

*This position is NOT contingent upon awarding of a project or needing a funding source. This is full-time employment with webAI.* About the Role: We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments. Responsibilities: -Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems.
-Productionize AI models from research prototypes into scalable, deployable systems used in real world applications.
-Engineer adaptive ML systems using LoRA, PEFT, and on-device inference strategies, leveraging PyTorch, TensorFlow, and Hugging Face Transformers for model development, fine-tuning, and optimization.
-Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration.
-Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval.
-Work with multi-modal AI systems across computer vision, audio, and natural language domains.
-Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions. Qualifications: -Active US Security clearance or eligibility and willingness to obtain a US Security clearance
-5+ years of experience in applied AI, ML engineering, or production AI systems.
-Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers.
-Proven experience deploying AI models across cloud, edge, and mobile hardware environments.
-Expertise in model compression and optimization (quantization, pruning, distillation).
-Experience building RAG pipelines and integrating vector databases (e.g., Quadrant, ChromaDB, FAISS, Milvus, Pinecone).
-Familiarity with multi-modal models and synthetic data generation methods.
-Strong algorithmic and problem solving skills, especially in distributed or constrained compute environments. Preferred Skills: -Experience with edge AI, federated learning, or offline inference systems.
-Understanding of AI governance and compliance frameworks relevant to public sector deployments.
-Experience integrating models into large scale distributed systems or microservice architectures.
-Excellent communication and technical documentation skills for collaboration across multi disciplinary teams.
-Strong understanding of GPU computing, CUDA, and performance profiling. We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: Truth - Emphasizing transparency and honesty in every interaction and decision. Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: -Competitive salary and performance-based incentives.
-Comprehensive health, dental, and vision benefits package.
-401k Match (US-based only)
-$200/mos Health and Wellness Stipend
-$400/year Continuing Education Credit
-$500/year Function Health subscription (US-based only)
-Free parking, for in-office employees
-Unlimited Approved PTO
-Parental Leave for Eligible Employees
-Supplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.