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Mobile Machine Learning Jobs in Greencastle, PA (NOW HIRING)

Mobile Machine Learning information

See Greencastle, PA salary details

$11

$24

$113

How much do mobile machine learning jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for mobile machine learning in Greencastle, PA is $24.12, according to ZipRecruiter salary data. Most workers in this role earn between $13.75 and $19.23 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 cities near Greencastle, PA are hiring for Mobile Machine Learning jobs?

Cities near Greencastle, PA with the most Mobile Machine Learning job openings:

Director of Advanced Manufacturing

Oshkosh Corporation

Mcconnellsburg, PA • On-site

Full-time

Re-posted 20 days ago


Oshkosh Corporation rating

7.4

Company rating: 7.4 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

288th of 490 rated machine equipment manufacturers


Job description

About JLG, an Oshkosh company
JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products-including mobile elevating work platforms, telehandlers, utility vehicles and accessories-can be found all over the world.
Reporting to the Sr. Director of Global Manufacturing Engineering, the Director of Advanced Manufacturing leads global manufacturing innovation across the Access Segment. This role is responsible for identifying, developing, and deploying advanced manufacturing, automation, digital, and analytics capabilities that strengthen operational performance and shape the future manufacturing footprint through close partnership with operations, engineering, DT, and external technology partners.
YOUR IMPACT
  • Manage the innovation efforts that identify strategies, business opportunities, and new technologies; then focus on developing new capabilities
  • Leader that focuses on ideation, problem solving, and benchmarking key technology trends
  • Demonstrate leadership to provide strategy, vision, and direction to global manufacturing team
  • Evaluate technologies from suppliers and R&D organizations
  • Drive strategic manufacturing innovation and lead Technology Creation Process (TCP)
  • Stay on top of external industry developments and best practices
  • Support teams to develop manufacturing innovation roadmap that will introduce new technologies to global footprint
  • Analyze new advanced manufacturing trends and techniques, automation, robotics, and assembly tools seeking opportunities to transfer technologies from R&D to the manufacturing facilities.
  • Support a team that works closely with the Manufacturing, DT, and Design Engineering,.
  • Support teams that design digital solutions for our manufacturing plants
  • Manage analytics teams to design applications and dashboards to capture product and process data, predict outcomes, and prescribe solutions in manufacturing. Grow AI and machine learning capabilities within the organization and utilize data analytics to improve process quality.
  • Promote collaboration with Design Engineering and become embedded with product design to implement DFM principles; identify key metrics to measure DFM success
  • Develop innovation goals, design project charters, and update leadership on project status.
  • Manage relationships with various third-party suppliers and R&D institutes
  • Provide guidance and leadership on equipment specifications and standards
  • Assign projects, tasks, and support responsibilities to team members. Guide and coach team members to achievement of goals.
  • High performance individual that manages Innovation group focused on automation, digital technologies, advanced analytics, and DFM
  • Development of the innovation, footprint, strategy team to develop automation with the future footprint of JLG.

MINIMUM QUALIFICATIONS
  • Bachelor's degree in science or engineering-related field
  • 10+ years of related work experience

STANDOUT QUALIFICATIONS
  • Certified Lean Expert/TPS based
  • 10 years of business/operations management or manufacturing experience with management responsibilities
  • Ability to accommodate 25% travel
  • Results-oriented, strong analytical skills, and demonstrated process improvement success in managing large teams in a continuous improvement culture
  • Proven change agent and ability to lead teams through: Making case for change; stakeholder management; change communications; removing barriers; setting milestones and acknowledging progress; and reinforcing change through organizational systems
  • Willingness to work on the shop floor and lead by example; ability to influence decision making with or without authority; facilitate groups with diverse perspectives; and bring teams to agreement
  • Must have strong interpersonal and communication skills that build productive relationships and influences others, both within the business and across organizations
  • Ability to interact with all levels of the business (senior leaders to working teams); exceptionally good listening skills; able to present complex or new ideas with clarity and simplicity
  • Excellent project management and prioritization skills. Solid business acumen. Ability to schedule and provide costing with accuracy
  • High ethical standards demonstrated by the individual's approach to business and the ability to set that tone for the entire organization
  • Creative and innovative thinking to challenge current practices and ways of looking at processes across the organization

WORKING CONDITIONS
The following represents general working conditions for this role. Specific conditions may vary depending on business needs and individual circumstances.
  • This role combines office-based administrative duties with physical activity in production environments.
  • In the office setting, tasks may require extended computer use, sitting, and attending meetings.
  • Field or floor work may involve walking across various terrains or shop floors, standing, moderate lifting (up to 50 pounds), climbing stairs, and exposure to varying temperatures or noise levels.
  • Must be able to shift focus between detailed cognitive work and occasional physical tasks as needed.
  • Reasonable accommodations will be provided for qualified individuals with disabilities to support performance across both office and field responsibilities.

#LI-BH1
Pay Range:
$118,700.00 - $211,300.00
The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.
Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com.
Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.
Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.
Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

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