Although the position will be remote, there might be some occasional travel to ERP Suites ... AI, machine learning, generative AI, and automation concepts * Customer discovery and use case ...
Quick apply
Although the position will be remote, there might be some occasional travel to ERP Suites ... AI, machine learning, generative AI, and automation concepts * Customer discovery and use case ...
AI & Mobile Product Manager
Loveland, OH · On-site +1
Although the position will be remote, there might be some occasional travel to ERP Suites ... Core Competencies: • Product strategy and roadmap development • AI, machine learning ...
AI & Mobile Product Manager
Loveland, OH · On-site +1
Although the position will be remote, there might be some occasional travel to ERP Suites ... Core Competencies: • Product strategy and roadmap development • AI, machine learning ...
Senior GCP Engineer with Vertex AI and MLOps - Remote (US)
Cincinnati, OH · Remote
$107K - $146K/yr
Senior GCP Engineer with Vertex AI and MLOps Remote (Cincinnati, OH) Contract Required: * Senior ... Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools ...
Quick apply
Senior GCP Engineer with Vertex AI and MLOps - Remote (US)
Cincinnati, OH · Remote
$107K - $146K/yr
Senior GCP Engineer with Vertex AI and MLOps Remote (Cincinnati, OH) Contract Required: * Senior ... Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools ...
Experience with traditional machine learning techniques like gradient boosting, k-NN, and ... Remote
Experience with traditional machine learning techniques like gradient boosting, k-NN, and ... Remote
Data Scientist
Cincinnati, OH · On-site +1
Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...
Data Scientist
Cincinnati, OH · On-site +1
Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...
While the job location is listed as Cincinnati, OH, this is a remote position open to candidates ... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ...
Quick apply
While the job location is listed as Cincinnati, OH, this is a remote position open to candidates ... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ...
Research Intern on Generative and Protective AI for Content Creation
Covington, KY · On-site +1
$50/hr
Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...
Research Intern on Generative and Protective AI for Content Creation
Covington, KY · On-site +1
$50/hr
Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...
... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ... For remote employees, travel to the company's headquarters may be required once per quarter, with ...
Quick apply
... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ... For remote employees, travel to the company's headquarters may be required once per quarter, with ...
... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ... For remote employees, travel to the company's headquarters may be required once per quarter, with ...
Quick apply
... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ... For remote employees, travel to the company's headquarters may be required once per quarter, with ...
... Machine Learning, and IoT, a career at Benchmark Gensuite mean you will continuously use and evolve ... Ability to work independently in a remote environment while collaborating effectively with ...
... Machine Learning, and IoT, a career at Benchmark Gensuite mean you will continuously use and evolve ... Ability to work independently in a remote environment while collaborating effectively with ...
Director of Insurance Analytics
Cincinnati, OH · On-site +1
... days in office; remote considered in exceptional circumstances) Essential Functions * Lead a ... Apply statistical and machine learning techniques (e.g., regression, classification, clustering ...
Director of Insurance Analytics
Cincinnati, OH · On-site +1
... days in office; remote considered in exceptional circumstances) Essential Functions * Lead a ... Apply statistical and machine learning techniques (e.g., regression, classification, clustering ...
Strategic Implementation Specialist - EHS & Sustainability Solutions Full Time - Remote Cincinnati ... Machine Learning, and IoT, a career at Benchmark Gensuite mean you will continuously use and evolve ...
Strategic Implementation Specialist - EHS & Sustainability Solutions Full Time - Remote Cincinnati ... Machine Learning, and IoT, a career at Benchmark Gensuite mean you will continuously use and evolve ...
... Machine Learning, and IoT, a career at Benchmark Gensuite mean you will continuously use and evolve ... Ability to work independently in a remote environment while collaborating effectively with ...
Quick apply
... Machine Learning, and IoT, a career at Benchmark Gensuite mean you will continuously use and evolve ... Ability to work independently in a remote environment while collaborating effectively with ...
... machining, CAD/CAM, programming, cybersecurity, networking, cloud computing, data analytics ... Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ...
... machining, CAD/CAM, programming, cybersecurity, networking, cloud computing, data analytics ... Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ...
Senior Field Service Technician
Milford, OH · Remote
$83K - $133K/yr
Remote. Key Responsibilities * Be responsible for hands-on execution of projects including Startup ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...
Senior Field Service Technician
Milford, OH · Remote
$83K - $133K/yr
Remote. Key Responsibilities * Be responsible for hands-on execution of projects including Startup ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...
Remote Spacex Machine Learning information
See Cincinnati, OH salary details
$24.5K - $29.9K
5% of jobs
$31.7K is the 25th percentile. Wages below this are outliers.
$29.9K - $35.4K
59% of jobs
$35.4K - $40.8K
9% of jobs
$41.2K is the 75th percentile. Wages above this are outliers.
$40.8K - $46.3K
17% of jobs
$46.3K - $51.7K
4% of jobs
$51.7K - $57.2K
2% of jobs
$57.2K - $62.6K
3% of jobs
$62.6K - $68.1K
0% of jobs
$68.1K - $73.5K
0% of jobs
$73.5K - $79K
0% of jobs
$79K - $84.4K
0% of jobs
$24.5K
$40.9K
$84.4K
How much do remote spacex machine learning jobs pay per year?
As of Aug 30, 2026, the average yearly pay for remote spacex machine learning in Cincinnati, OH is $40,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,100.00 per year, depending on experience, location, and employer.
What does a remote SpaceX machine learning engineer do?
A Remote SpaceX Machine Learning Engineer uses data-driven algorithms and models to solve complex problems for SpaceX, often focusing on areas such as rocket manufacturing, satellite communications, and mission planning. Working remotely, these engineers collaborate with cross-functional teams to design, develop, and implement machine learning solutions that improve efficiency, safety, and performance. They may analyze large datasets, build predictive models, and deploy AI systems to support SpaceX's ambitious goals in space exploration.
What are the key skills and qualifications needed to thrive as a remote SpaceX machine learning engineer?
To excel as a Remote SpaceX Machine Learning Engineer, you need strong expertise in machine learning, data analysis, and programming languages like Python, along with a relevant degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is typically necessary, and certifications in machine learning or data science can be advantageous. Excellent problem-solving skills, strong communication, and the ability to collaborate remotely are key soft skills that help you stand out. These skills ensure you can develop robust ML models that support SpaceX’s technical goals while effectively working within distributed teams.
What are some unique challenges of working remotely as a machine learning engineer at SpaceX, and how can candidates prepare for them?
Working remotely as a Machine Learning Engineer at SpaceX presents unique challenges such as collaborating across distributed teams, managing time zones, and maintaining effective communication with colleagues involved in hardware and aerospace projects. To succeed, candidates should be proactive in seeking regular updates, use collaborative tools efficiently, and be comfortable working independently while still aligning with team objectives. Familiarity with remote development environments and a strong ability to document and present complex models are also key to thriving in this role.
What is the difference between Remote Spacex Machine Learning vs Remote Spacex Data Scientist?
| Aspect | Remote Spacex Machine Learning | Remote Spacex Data Scientist |
|---|---|---|
| Required Credentials | Advanced degree in Computer Science, AI, or related field; experience in ML frameworks | Degree in Data Science, Statistics, or related; strong analytical skills |
| Work Environment | Developing ML models, algorithms, and AI systems for space applications | Analyzing data, creating insights, and supporting decision-making processes |
| Employer & Industry Usage | Used in AI-driven space missions, autonomous systems, and robotics | Applied in data analysis, reporting, and predictive modeling for space projects |
Remote Spacex Machine Learning specialists focus on developing AI models for space technology, while Data Scientists analyze data to inform decisions. Both roles require strong technical skills and often collaborate but serve different core functions within the industry.
What are popular job titles related to Remote Spacex Machine Learning jobs in Cincinnati, OH?
For Remote Spacex Machine Learning jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Remote Spacex Machine Learning jobs in Cincinnati, OH look for?
The top searched job categories for Remote Spacex Machine Learning jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Remote Spacex Machine Learning jobs?
Cities near Cincinnati, OH with the most Remote Spacex Machine Learning job openings:
Job description
ERP Suites is dedicated to delivering innovative technology solutions that help organizations streamline operations, improve productivity, and accelerate growth. We are seeking an AI & Mobile Product Manager to lead the strategy, development, and delivery of next-generation AI-powered and mobile solutions that create measurable business value for our customers.
Location:
Our home office is based in Cincinnati, OH. However, we are open to hiring someone who is fully remote regardless of location. Although the position will be remote, there might be some occasional travel to ERP Suites facilities or customer sites.
Position Summary:
The AI & Mobile Product Manager will own the product lifecycle from concept through adoption, driving the development of AI and mobile solutions that solve meaningful business challenges. This role serves as the bridge between customers, business stakeholders, engineering teams, data scientists, and leadership to ensure products are valuable, scalable, secure, and aligned with business objectives.
The ideal candidate combines strong product management expertise with a practical understanding of artificial intelligence, including generative AI, machine learning, AI agents, automation, model governance, and responsible AI practices.
Daily Activities:
• Collaborate with engineering, data science, and design teams to review progress and resolve blockers.
• Refine requirements, user stories, and product priorities.
• Review customer feedback, support issues, usage analytics, and product performance metrics.
• Participate in Agile ceremonies including sprint planning, backlog grooming, standups, and demos.
• Review workflows, wireframes, prompts, model behavior, and AI-generated recommendations.
• Support sales, marketing, and customer success teams with product knowledge and enablement.
Key Responsibilities:
Product Strategy & Roadmap:
• Define and execute the AI product vision, strategy, and roadmap.
• Identify and prioritize AI and mobile use cases based on customer value, business impact, feasibility, and risk.
• Develop business cases and product strategies that align with organizational goals.
• Conduct market research, competitive analysis, and customer discovery to identify opportunities.
Product Development & Delivery:
• Translate business requirements into detailed product requirements, user stories, and acceptance criteria.
• Partner with engineering, architecture, UX, and data science teams to design scalable solutions.
• Manage product backlogs, sprint planning, prioritization, and release planning.
• Ensure successful delivery through Agile product development methodologies.
• Oversee product releases, documentation, training, and readiness activities.
Customer Experience & Adoption:
• Collaborate with UX teams to create intuitive, AI-enabled user experiences.
• Gather and analyze customer feedback to continuously improve products.
• Define success metrics, KPIs, adoption goals, and ROI measurements.
• Monitor product performance, user adoption, customer satisfaction, and AI model effectiveness.
Governance & Risk Management:
• Ensure AI products are secure, explainable, compliant, and aligned with responsible AI principles.
• Collaborate with security, legal, and compliance teams to manage AI-related risks.
• Evaluate AI outputs for accuracy, usability, trustworthiness, and business relevance.
Cross-Functional Leadership:
• Partner with stakeholders across product, engineering, sales, marketing, customer success, and executive leadership.
• Communicate product strategy, priorities, trade-offs, and roadmap updates.
• Support go-to-market initiatives, sales enablement, product positioning, and customer adoption.
Qualifications:
Required:
• Bachelor's degree in Business, Computer Science, Information Systems, Engineering, Data Science, or a related field.
• 3+ years of experience in product management, business analysis, software delivery, or technology strategy.
• Experience delivering software products, digital platforms, enterprise applications, or data-driven solutions.
• Working knowledge of AI concepts including machine learning, generative AI, natural language processing, predictive analytics, and AI agents.
• Experience collaborating with technical teams such as software engineers, architects, and data scientists.
• Strong experience writing product requirements, user stories, acceptance criteria, and business cases.
• Experience using Agile methodologies and product management tools.
• Excellent communication and stakeholder management skills.
• Strong analytical, problem-solving, and decision-making abilities.
Core Competencies:
• Product strategy and roadmap development
• AI, machine learning, generative AI, and automation concepts
• Customer discovery and use case validation
• Agile product management and backlog prioritization
• Data-driven decision making and KPI development
• Cross-functional leadership
• UX and workflow design
• Executive communication and presentation skills
• Risk management, governance, and responsible AI practices
Preferred Qualifications:
• Experience managing AI, machine learning, generative AI, or automation products.
• Experience with enterprise systems such as ERP, CRM, HCM, supply chain, finance, or operations platforms.
• Familiarity with cloud AI platforms including Oracle Cloud Infrastructure, Microsoft Azure AI, AWS AI, Google Cloud AI, or OpenAI technologies.
• Knowledge of AI governance, model monitoring, prompt engineering, data privacy, security, and compliance.
• Understanding of APIs, data pipelines, vector databases, retrieval-augmented generation (RAG), large language models (LLMs), and agentic AI architectures.
• Experience launching AI products in enterprise or regulated industries.
• Experience developing ROI models and business value frameworks for AI initiatives.
• Product certifications such as Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, or Pragmatic Institute certification.
Company:
At ERP Suites, our focus is on helping our customers realize IT’s potential. Our comprehensive ERP solutions enable them to streamline and scale their IT products and processes. And this leads directly to improved efficiency and increased margins. We are a proud Oracle Gold Partner and champion of proactive JD Edwards management and custom product enhancements.
ERP Suites provides technical consulting, cloud services, managed services, and digital transformation solutions for some of America’s top companies. We build secure connections, improve performance, automate workloads and give them mobility. In other words, we help them stay on top.
We deliver multi-functional value through cloud services, digital transformation, ERP consulting services, ERP managed services, and software development.
Core Values:
Location:
Our home office is based in Cincinnati, OH. However, we are open to hiring someone who is fully remote regardless of location. Although the position will be remote, there might be some occasional travel to ERP Suites facilities or customer sites.
Position Summary:
The AI & Mobile Product Manager will own the product lifecycle from concept through adoption, driving the development of AI and mobile solutions that solve meaningful business challenges. This role serves as the bridge between customers, business stakeholders, engineering teams, data scientists, and leadership to ensure products are valuable, scalable, secure, and aligned with business objectives.
The ideal candidate combines strong product management expertise with a practical understanding of artificial intelligence, including generative AI, machine learning, AI agents, automation, model governance, and responsible AI practices.
Daily Activities:
• Collaborate with engineering, data science, and design teams to review progress and resolve blockers.
• Refine requirements, user stories, and product priorities.
• Review customer feedback, support issues, usage analytics, and product performance metrics.
• Participate in Agile ceremonies including sprint planning, backlog grooming, standups, and demos.
• Review workflows, wireframes, prompts, model behavior, and AI-generated recommendations.
• Support sales, marketing, and customer success teams with product knowledge and enablement.
Key Responsibilities:
Product Strategy & Roadmap:
• Define and execute the AI product vision, strategy, and roadmap.
• Identify and prioritize AI and mobile use cases based on customer value, business impact, feasibility, and risk.
• Develop business cases and product strategies that align with organizational goals.
• Conduct market research, competitive analysis, and customer discovery to identify opportunities.
Product Development & Delivery:
• Translate business requirements into detailed product requirements, user stories, and acceptance criteria.
• Partner with engineering, architecture, UX, and data science teams to design scalable solutions.
• Manage product backlogs, sprint planning, prioritization, and release planning.
• Ensure successful delivery through Agile product development methodologies.
• Oversee product releases, documentation, training, and readiness activities.
Customer Experience & Adoption:
• Collaborate with UX teams to create intuitive, AI-enabled user experiences.
• Gather and analyze customer feedback to continuously improve products.
• Define success metrics, KPIs, adoption goals, and ROI measurements.
• Monitor product performance, user adoption, customer satisfaction, and AI model effectiveness.
Governance & Risk Management:
• Ensure AI products are secure, explainable, compliant, and aligned with responsible AI principles.
• Collaborate with security, legal, and compliance teams to manage AI-related risks.
• Evaluate AI outputs for accuracy, usability, trustworthiness, and business relevance.
Cross-Functional Leadership:
• Partner with stakeholders across product, engineering, sales, marketing, customer success, and executive leadership.
• Communicate product strategy, priorities, trade-offs, and roadmap updates.
• Support go-to-market initiatives, sales enablement, product positioning, and customer adoption.
Qualifications:
Required:
• Bachelor's degree in Business, Computer Science, Information Systems, Engineering, Data Science, or a related field.
• 3+ years of experience in product management, business analysis, software delivery, or technology strategy.
• Experience delivering software products, digital platforms, enterprise applications, or data-driven solutions.
• Working knowledge of AI concepts including machine learning, generative AI, natural language processing, predictive analytics, and AI agents.
• Experience collaborating with technical teams such as software engineers, architects, and data scientists.
• Strong experience writing product requirements, user stories, acceptance criteria, and business cases.
• Experience using Agile methodologies and product management tools.
• Excellent communication and stakeholder management skills.
• Strong analytical, problem-solving, and decision-making abilities.
Core Competencies:
• Product strategy and roadmap development
• AI, machine learning, generative AI, and automation concepts
• Customer discovery and use case validation
• Agile product management and backlog prioritization
• Data-driven decision making and KPI development
• Cross-functional leadership
• UX and workflow design
• Executive communication and presentation skills
• Risk management, governance, and responsible AI practices
Preferred Qualifications:
• Experience managing AI, machine learning, generative AI, or automation products.
• Experience with enterprise systems such as ERP, CRM, HCM, supply chain, finance, or operations platforms.
• Familiarity with cloud AI platforms including Oracle Cloud Infrastructure, Microsoft Azure AI, AWS AI, Google Cloud AI, or OpenAI technologies.
• Knowledge of AI governance, model monitoring, prompt engineering, data privacy, security, and compliance.
• Understanding of APIs, data pipelines, vector databases, retrieval-augmented generation (RAG), large language models (LLMs), and agentic AI architectures.
• Experience launching AI products in enterprise or regulated industries.
• Experience developing ROI models and business value frameworks for AI initiatives.
• Product certifications such as Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, or Pragmatic Institute certification.
Company:
At ERP Suites, our focus is on helping our customers realize IT’s potential. Our comprehensive ERP solutions enable them to streamline and scale their IT products and processes. And this leads directly to improved efficiency and increased margins. We are a proud Oracle Gold Partner and champion of proactive JD Edwards management and custom product enhancements.
ERP Suites provides technical consulting, cloud services, managed services, and digital transformation solutions for some of America’s top companies. We build secure connections, improve performance, automate workloads and give them mobility. In other words, we help them stay on top.
We deliver multi-functional value through cloud services, digital transformation, ERP consulting services, ERP managed services, and software development.
Core Values:
- Make Customers Successful
- Be An Advisor
- Be a teacher
- Be a Coach
- Have Fun
- Do the Right Things for the ERP Suites Family
- Adapt Quickly to Changing Roles and Environments
- With questions.
- With problems that need to be solved.
- With business needs, both immediate and long term.
- Because technology and its impact on business isn’t getting any simpler.
- That’s why we exist.
- To answer the tough questions.
- To find a solution to every problem—no matter the size or scope.
- And to help companies not just identify IT’s potential, but realize IT
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About ERP Suites
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Loveland, OH, US
Year founded
2006