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$20K

$96.6K

$151K

How much do remote bakery research development jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote bakery research development in the United States is $96,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $117,000.00 per year, depending on experience, location, and employer.

How does a Remote Bakery Research Development professional typically collaborate with onsite teams and production staff?

Remote Bakery Research Development professionals often work closely with onsite teams through virtual meetings, shared digital platforms, and regular updates to ensure alignment on recipe testing and product innovation. While much of the formulation and theoretical work happens remotely, close coordination with bakery staff is essential for practical trials, troubleshooting, and scaling new products. Effective communication skills and familiarity with collaboration tools are crucial, as remote R&D specialists must translate their findings into actionable steps for onsite execution and maintain continuous feedback loops to refine processes and products.

What is the difference between Remote Bakery Research Development vs Remote Bakery Quality Assurance?

AspectRemote Bakery Research DevelopmentRemote Bakery Quality Assurance
Primary FocusDeveloping new bakery products, recipes, and formulationsEnsuring bakery products meet quality standards and safety regulations
Required SkillsFood science, recipe formulation, product innovationQuality control, testing procedures, compliance standards
Work EnvironmentResearch labs, development kitchens, collaboration with R&D teamsInspection sites, testing labs, collaboration with QA teams
Common EmployerBakery companies, food product developers, R&D firmsFood manufacturing companies, bakery chains, quality assurance providers

Remote Bakery Research Development focuses on creating and innovating bakery products, while Remote Bakery Quality Assurance emphasizes maintaining product quality and safety. Both roles often collaborate but serve different stages of the product lifecycle.

What are the key skills and qualifications needed to thrive as a Remote Bakery Research and Development Specialist, and why are they important?

To excel as a Remote Bakery Research and Development Specialist, you need expertise in food science, baking techniques, and recipe formulation, often supported by a degree in food technology or culinary arts. Familiarity with product development software, sensory analysis tools, and food safety certifications like HACCP is typically required. Strong problem-solving, creativity, and effective communication are crucial soft skills for innovating and collaborating with remote teams. These abilities drive successful product innovation, ensure food quality and safety, and support efficient teamwork in a remote work environment.

What is a Remote Bakery Research Development role?

A Remote Bakery Research Development role involves creating, testing, and improving baked goods recipes and products from a remote location. Professionals in this field collaborate with bakeries or food companies to innovate new products, enhance existing recipes, and ensure product quality, often using virtual communication tools. They may also analyze market trends, source ingredients, and help optimize production processes without being physically present in a bakery. This job combines food science, creativity, and technical skills, all performed remotely.
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Remote Bakery Research Development jobs near you

Engineering Manager, Research & Development

acv

Buffalo, NY • On-site, Remote

Other

Posted 3 days ago

Job description

Who we are looking for:

 

An R&D Engineering Manager to lead and develop a team of engineers (software, quality, or site reliability), with full accountability for delivery outcomes and team performance.

What you will do:

  • Actively and consistently support all efforts to simplify and enhance the customer experience.
  • Lead a polyglot engineering team, directly manage and mentor a diverse team of engineers (local and remote).
  • Act as a hands-on mentor, conducting deep-dive code reviews and creating personalized career development paths for engineers working across varied languages and frameworks.
  • You are accountable for people management, recruiting for your team, associate career development and performance management. 
  • Serve as the primary technical interface for non-engineering partners, translating complex R&D progress into clear business impact and roadmap updates.
  • Bridge Research and Production, drive the evolution of R&D prototypes into scalable, production-ready systems, ensuring that experimental code meets long-term stability and performance standards. 
  • Balance innovation with stability by strategically allocating resources to maintain the "innovation-to-maintenance" ration, ensuring core systems remain stable while the team pursues high-risk, high-reward R&D milestones.
  • Other duties as assigned

What you will need:

  • 4 Year / Bachelors Degree - Computer Science, Engineering, or equivalent required
  • 8 year(s) Technology field
  • Ability to read, write, speak and understand English.
  • Providing architectural guidance across a modern stack including Python, Java, React, React Native, Postgres, MySQL, Kubernetes and more.
  • Strong understanding of RESTful and/or GraphQL API design patterns to ensure seamless communication between mobile, web, and polyglot backend services.
  • Practical experience with distributed messaging and streaming platforms, preferably Kafka, to support high-throughput, decoupled microservices.
  • Experience managing technical roadmaps and resource allocation within Agile or Kanban frameworks, balancing long-term research goals with immediate delivery milestones.
  • Demonstrated experience leading software teams in a Research and Development or high-innovation environment, specifically taking prototypes from "proof of concept" to production-grade deployment.
  • Hands-on experience architecting and deploying scalable applications within AWS and GCP, including deep knowledge of their respective storage (S3/GCS) and database (RDS/others) ecosystems.
  • Familiarity with Python-based machine learning libraries (e.g., PyTorch, TensorFlow, or Scikit-learn) to support data-heavy research and predictive modeling projects.
  • Experience managing containerized workloads at scale, particularly in hybrid-cloud or multi-cloud deployments.
  • Exceptional ability to articulate complex technical trade-offs to non-technical stakeholders and translate business requirements into clear technical specifications for the engineering team.

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