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Process Optimization Remote Jobs in Sunnyvale, CA

Group Product Manager

Mountain View, CA ยท Remote

$180K - $200K/yr

By combining cutting-edge technology with process optimization, we help states deliver vital public ... Team player with an ability to work cross-functionally and with remote teams and to influence ...

Group Product Manager

Mountain View, CA ยท Remote

$180K - $200K/yr

By combining cutting-edge technology with process optimization, we help states deliver vital public ... Team player with an ability to work cross-functionally and with remote teams and to influence ...

IT Manager (Remote, Part-time)

San Francisco, CA ยท On-site +1

$111K - $137K/yr

The company has grown 3x over the past year and is now processing $1.5B+ in construction purchasing ... optimization. * Identity & Access Management: Manage SSO, multi-factor authentication, and least ...

E2E Business Architect (Remote)

San Jose, CA ยท Remote

$71.25 - $92.50/hr

This role is a remote role based in the USA. Meet the Team Component Central Operations (CCO ... Experience in business process design, flow optimization and automation. * Solid understanding of ...

E2E Business Architect (Remote)

San Jose, CA ยท On-site +1

$71.25 - $92.50/hr

This role is a remote role based in the USA. Meet the Team Component Central Operations (CCO ... Experience in business process design, flow optimization and automation. * Solid understanding of ...

Senior Manager, IT

San Francisco, CA ยท Remote

$154K - $154K/yr

... pre-surgical optimization to acute, post-acute and chronic care. We are helping people live ... As the leader of all IT operations at CopilotIQ+Biofourmis, you will ensure that our remote team ...

Showing results 41-60

Process Optimization Remote information

See Sunnyvale, CA salary details

$28

$36

$43

How much do process optimization remote jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for process optimization remote in Sunnyvale, CA is $36.49, according to ZipRecruiter salary data. Most workers in this role earn between $31.59 and $43.46 per hour, depending on experience, location, and employer.

What is a process optimization remote?

A Process Optimization Remote role involves analyzing and improving business processes to enhance efficiency and productivity, all while working remotely. Professionals in this role use data analysis, workflow mapping, and continuous improvement methodologies like Lean or Six Sigma to identify bottlenecks and recommend solutions. Remote process optimization specialists collaborate with teams virtually, often using digital tools to track performance metrics and implement process changes. This job is common in industries such as manufacturing, finance, healthcare, and technology, where operational excellence is crucial. Strong communication, analytical, and project management skills are essential for success in a remote setting.

What are some typical challenges faced by remote process optimization professionals, and how can they be effectively addressed?

Remote process optimization professionals often encounter challenges such as limited visibility into on-site operations, coordinating with cross-functional teams across time zones, and ensuring clear communication of process changes. These can be effectively addressed by leveraging digital collaboration tools, setting regular check-ins, and using data visualization software to monitor and share process metrics. Building strong relationships with on-site stakeholders and maintaining detailed documentation also help ensure alignment and smooth implementation of optimization initiatives.

What are the key skills and qualifications needed to thrive as a process optimization specialist (remote), and why are they important?

To thrive as a Process Optimization Specialist (Remote), you need strong analytical skills, process improvement knowledge (such as Lean or Six Sigma), and a relevant degree in business, engineering, or a related field. Experience with process mapping tools, data analysis software, and certifications like Lean Six Sigma Green Belt are commonly required. Exceptional communication, problem-solving, and self-motivation are vital soft skills for collaborating virtually and driving change. These skills ensure effective process improvements, cost savings, and sustained operational excellence in a remote work environment.

What is the difference between Process Optimization Remote vs Process Improvement Specialist?

AspectProcess Optimization RemoteProcess Improvement Specialist
CredentialsTypically requires certifications like Six Sigma, Lean, or PMPOften requires similar certifications, with emphasis on process analysis and project management
Work EnvironmentRemote, often collaborating via digital toolsCan be remote or on-site, depending on employer
Industry UsageCommon in manufacturing, healthcare, IT, and business servicesUsed across industries for enhancing processes and workflows
Search & Comparison IntentPeople compare roles focused on remote process efficiency improvementsPeople look for roles involving process analysis and improvement strategies

Process Optimization Remote and Process Improvement Specialist roles share similar credentials and industry usage, but differ mainly in work environment. Process Optimization Remote emphasizes remote work, while Process Improvement Specialist may be on-site or hybrid. Both roles focus on enhancing efficiency, making them closely related in the process improvement field.

What are popular job titles related to Process Optimization Remote jobs in Sunnyvale, CA?

For Process Optimization Remote jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Process Optimization Remote jobs in Sunnyvale, CA look for?

The top searched job categories for Process Optimization Remote jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Process Optimization Remote jobs?

Cities near Sunnyvale, CA with the most Process Optimization Remote job openings:

Infographic showing various Process Optimization Remote job openings in Sunnyvale, CA as of June 2026, with employment types broken down into 90% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $75,896 per year, or $36.5 per hour.

ML Systems Engineer - Fully Remote | Upto $110/hr

Mercor

San Francisco, CA โ€ข Remote

$110/hr

Full-time

Posted yesterday

New


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: MLOps Engineer (JAX, PyTorch, Pallas/Triton)
Type: Contract
Compensation: $70–$110/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
  • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
  • Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
  • Hands-on production experience with JAX and/or PyTorch at scale.
  • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 40 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.