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

Quvia

Sales Engineer, Energy

Houston, TX · Remote

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... At least 5 years of hands-on experience in telecommunications, mobile networks, or broadcast ...

Quvia

Sales Engineer, Energy

Houston, TX · On-site +1

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... At least 5 years of hands-on experience in telecommunications, mobile networks, or broadcast ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Houston, TX

Mobile Machine Learning information

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$114

How much do mobile machine learning jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for mobile machine learning in Houston, TX is $24.18, according to ZipRecruiter salary data. Most workers in this role earn between $13.75 and $19.28 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 Houston, TX? The most popular types of Machine Learning jobs in Houston, TX are:
What are popular job titles related to Mobile Machine Learning jobs in Houston, TX? For Mobile Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Houston, TX look for? The top searched job categories for Mobile Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Mobile Machine Learning jobs? Cities near Houston, TX with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you

Lead Cybersecurity Architect

JPMorgan Chase & Co.

Houston, TX • On-site

$133K - $185K/yr

Full-time

Medical, Retirement

Re-posted yesterday

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description


As a Lead Cybersecurity Architect in Cybersecurity Technology & Controls within JPMorgan Chase, you will be an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications on modern cloud-based technologies. As a core technical contributor, you are responsible for carrying out critical cybersecurity architecture solutions by identifying, creating, and communicating risk, mitigation options, and solutions across multiple technical areas within various business functions in support of project goals.
Job responsibilities
  • Engages technical teams and business stakeholders to discuss and propose technical approaches to meet current and future cybersecurity needs
  • Defines the technical target state of their cybersecurity product and drives achievement of the strategy
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall cybersecurity of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive continuous improvement and assess cybersecurity design and technical credentials for use in existing systems and architecture
  • Leverages enterprise-authorized AI capabilities within the work environment to accelerate cybersecurity architecture analysis and decisioning (e.g., risk identification and documentation), validating outputs and handling data according to sensitivity and security requirements.
  • Leads communities of practice to drive awareness and use of new and leading-edge cybersecurity technologies
  • Drives reuse-first adoption of AI-assisted security validation within SDLC/toolchain routines, improving control testing and remediation quality with traceability/auditability and resiliency expectations.
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills
  • 5+ years of applied experience with formal training or certification in cybersecurity architecture
  • Hands-on practical experience delivering enterprise-level cybersecurity solutions and controls along with threat modeling, threat assessments, and secure design reviews
  • Proficiency in automation and continuous delivery methods and in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as continuous integration and delivery, application resiliency, and security
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry or regulated industries with deep knowledge of one or more software and applications
  • Practical cloud native experience (AWS Preferred) and modern cloud architectures at scale
  • Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.
  • Experience implementing and operating security controls aligned to a comprehensive control catalog (e.g., NIST 800-53-aligned), including control design, evidence, and ongoing compliance
  • Must be eligible to work on assignments subject to heightened security, identity, and/or additional background verification requirements and have effectively communicated with senior business leaders

Preferred qualifications, capabilities, and skills
  • CISSP, CCSP or AWS Security

#CTC
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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