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Home Based Innovation Engineer Jobs (NOW HIRING)

Turner Construction

Innovation Engineer - HQ

New York, NY · On-site

$92K - $123K/yr

Bachelor's degree from accredited degree program in Business, Engineering, Innovation Management ... Actual compensation packages within that range are based on a wide array of factors unique to each ...

Holland & Knight

IT AI Innovation Engineer

Tampa, FL

This position may be based at the Firm's Global Operations Center in Tampa Florida, or at the Operation Center in Dallas Texas. General Description: We are seeking anIT AI Innovation Engineer to join ...

Abbott

Process Innovation Engineer

Columbus, OH

$61/hr

Our business develops science-based nutrition products for people of all ages, from helping babies ... Problem Solving/Innovation * Services, troubleshoots, and solves engineering problems with ...

Abbott

Process Innovation Engineer

Columbus, OH · On-site

Our business develops science-based nutrition products for people of all ages, from helping babies ... Problem Solving/Innovation * Services, troubleshoots, and solves engineering problems with ...

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Home Based Innovation Engineer information

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$33K

$89.2K

$142K

How much do home based innovation engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for home based innovation engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. These roles typically require advanced skills, extensive experience, and sometimes leadership or executive responsibilities.

What is the difference between Home Based Innovation Engineer vs Remote Product Developer?

AspectHome Based Innovation EngineerRemote Product Developer
Required CredentialsBachelor's in Engineering or related field, relevant certificationsBachelor's in Computer Science, Engineering, or related, relevant certifications
Work EnvironmentHome office, collaboration with R&D teamsHome office, software development environment
Industry UsageManufacturing, R&D, technology firmsTech companies, software firms, startups
Search & Comparison IntentUnderstanding roles in innovation and R&DComparing remote software or product development roles

The main difference is that a Home Based Innovation Engineer focuses on developing new products or processes within R&D teams, often in manufacturing or technology sectors. A Remote Product Developer primarily works on software or digital products, emphasizing coding and software design. Both roles require technical credentials and involve remote work, but they serve different industry needs and project types.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding managerial or executive positions, or possessing rare technical expertise.

What are Home Based Innovation Engineers?

Home Based Innovation Engineers are professionals who work remotely to develop, design, and implement innovative solutions for various industries. They often focus on improving products, processes, or technologies by applying creative problem-solving and engineering principles from their home office. These engineers collaborate with teams virtually, conduct research, create prototypes, and may use advanced digital tools to bring new ideas to life. Their roles can span multiple fields, including software, electronics, manufacturing, and more, depending on the employer’s needs.

What are some common challenges faced by Home Based Innovation Engineers, and how can they be addressed?

Home Based Innovation Engineers often face challenges such as remote collaboration with cross-functional teams, maintaining creativity in a virtual setting, and balancing multiple projects independently. To address these, it's important to leverage digital collaboration tools, establish regular check-ins with colleagues, and create a structured workspace that fosters focus and creativity. Building strong communication habits and proactively seeking feedback can also ensure alignment with team goals and project requirements.

What jobs pay $10,000 a week?

Home Based Innovation Engineers typically do not earn $10,000 a week, as such high weekly earnings are uncommon in this role. High-paying jobs that can reach this level often include specialized roles in finance, executive management, or entrepreneurship, which require advanced skills, experience, and sometimes significant risk or investment. Most roles paying this amount are either in executive positions or involve high levels of commission or profit sharing.

How to make $100,000 a year working from home?

A Home Based Innovation Engineer can reach a $100,000 annual income by developing specialized skills in areas like product development, technology, or process improvement, and gaining experience through certifications or advanced education. Building a strong portfolio, networking, and working with multiple clients or companies can also increase earning potential while maintaining a flexible schedule.

What are the key skills and qualifications needed to thrive as a Home Based Innovation Engineer, and why are they important?

To thrive as a Home Based Innovation Engineer, you typically need a strong background in engineering principles, creative problem-solving abilities, and a relevant degree in engineering or a related field. Familiarity with CAD software, prototyping tools, and collaboration platforms like Slack or Trello is often expected, along with experience in remote work environments. Excellent communication, self-motivation, and adaptability are crucial soft skills for driving innovation and working independently. These skills enable effective development of novel solutions and seamless collaboration with remote teams, ensuring project success.
More about Home Based Innovation Engineer jobs
What cities are hiring for Home Based Innovation Engineer jobs? Cities with the most Home Based Innovation Engineer job openings:
What are the most commonly searched types of Innovation Engineer jobs? The most popular types of Innovation Engineer jobs are:
What states have the most Home Based Innovation Engineer jobs? States with the most job openings for Home Based Innovation Engineer jobs include:
What job categories do people searching Home Based Innovation Engineer jobs look for? The top searched job categories for Home Based Innovation Engineer jobs are:
Home Based Innovation Engineer jobs near you
Infographic showing various Home Based Innovation Engineer job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 47% Full Time, 1% Part Time, 2% Temporary, 45% Contract, and 1% Nights. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution, with an average salary of $89,183 per year, or $42.9 per hour.

Digital Innovation Engineer

Celanese International Corporation

Wilmington, DE • Hybrid

Full-time

Posted 9 days ago

Job description

Celanese Engineered Materials is seeking an Engineer, Digital Innovation – Predictive Modeling & Advanced Experimentation role. This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in new product and material development.

This role is an opportunity to play a key role in advancing predictive modeling and advanced experimental strategy to accelerate the design and development of nextgeneration materials. Applying rigorous quantitative methods to enable informed decisionmaking early in technology and product development.

The role operates at the intersection of modeling, statistics, and machine learning, with a strong emphasis on translating these capabilities into practical approaches that support technology and innovation programs. This position also builds and deploys digital methods to guide experimentation, prediction, and optimization that support computer aided engineering and new product development efforts.

**Location can be hybrid in one of the following locations: 

  • Wilmington, DE
  • Florence, KY
  • Auburn Hills, MI
  • Irving, TX

Predictive Modeling for Material Property Design

  • Develop and apply predictive and hybrid machine learning approaches for the prediction of properties key to designing the next generation of materials.
  • Integrate mechanistic understanding, statistical modeling, and datadriven methods to generate reliable, decisionready predictions.
  • Quantify model confidence and limitations to support riskaware technical decisions.
  • Translate complex modeling outputs into clear, actionable insights for technology and innovation stakeholders.

Experimental Design & Bayesian Optimization for New Product Development

  • Design and apply advanced experimental design strategies and Bayesian optimization for new product development.
  • Efficiently explore highdimensional design spaces to prioritize experiments and identify optimal candidates for laboratory evaluation.
  • Apply adaptive and sequential learning approaches to balance exploration and exploitation under limited data conditions.

  • Master's Degree or higher, or with equivalent experience in computer science, computer engineering, machine learning, physics, applied mathematics or related field
  • Understanding of advanced materials, chemical processes, and laboratory data is a plus.
  • 1+ years' work experience with modeling development, data analysis, business communication, and digital transformation is highly desirable.
  • Proficiency in AI + physics-based machine learning.
  • Working understanding of material science fundamentals
  • Strong foundation in applied statistics, experimental design, and probabilistic modeling.
  • Expertise in predictive modeling and simulation for material or system property prediction.
  • Experience with uncertainty quantification, model validation, and decision support under uncertainty.
  • Ability to translate advanced quantitative methods into practical workflows including proof-of-concept full-stack (backend + frontend) applications that inform technology and product decisions.
  • Working across the full lifecycle: problem formulation → model and strategy development → application and adoption.
  • Communicating complex modeling and experimental concepts clearly to diverse technical audiences.
  • Influencing technology and innovation decisions through quantitative, modeldriven insight.
  • Operating effectively in crossfunctional environments spanning product development, technology, innovation, and digital teams.

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