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Benchmarking Jobs in Oregon (NOW HIRING)

OR · On-site

$104K - $143K/yr

Improve the quality of voice AI systems through error analysis, data curation, metric design, benchmarking, and iterative model improvement, with a strong focus on real-world performance. * Build ...

Conduct independent model validation of existing models for benchmarking, assessment, and gauging effectiveness. * Determine aspects of model drift and related data drift for the purpose of model ...

Senior AI Software Architect - Runtime

Hillsboro, OR · On-site

$141K - $191K/yr

Architect and deliver performance infrastructure, including profiling, tracing, debugging, benchmarking, and regression frameworks needed for optimization and product release. * Integrate the runtime ...

SpendHound is a software vendor management platform and benchmarking service launched by YipitData. We've experienced explosive growth by re-defining the business model for this category. (See this ...

SpendHound is a software & AI benchmarking service recently launched by the research firm YipitData. (See this introductory video from SpendHound's Senior Product Manager!) * SpendHound is the single ...

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... benchmarking. At the conclusion of the analysis, the Senior Business Analyst and the client will decide if it makes sense to move into the implementation phase, utilizing the resources of Global ...

Special projects related to channel research, benchmarking, or advanced analytics Qualifications This role requires someone with at least 3 years of experience in a similar Business Analyst role

Experience within the team in network testing and benchmarking tools (e.g. Ixia, Spirent, netperf, iperf, etc.), and performance measurement and analysis. Experience within the team with cloud ...

Lead the annual review of compensation bands, benchmarking against market data (Radford/Pave) and providing recommendations to the business. * Own and drive the annual Radford compensation survey ...

Lead endtoend strategic and analytical workstreams, including market sizing, competitive benchmarking, pricing strategy, business case development, and performance analysis * Build and maintain ...

Conduct market and industry research to inform benchmarking and personaspecific value narratives. Required Qualifications * 7+ years in value engineering, management consulting, financial analysis ...

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Showing results 1-20

Benchmarking information

See Oregon salary details

$53.9K

$85K

$120.5K

How much do benchmarking jobs pay per year?

As of Jun 30, 2026, the average yearly pay for benchmarking in Oregon is $84,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $92,000.00 per year, depending on experience, location, and employer.

What is an example of a benchmark job?

A benchmark job is a standard position used for comparing compensation, skills, or performance across organizations. For example, a registered nurse or software engineer role often serves as a benchmark because they are common, well-defined, and have established salary ranges and job descriptions. These roles help organizations set pay scales and evaluate employee performance based on industry standards.

How does a Benchmarking Analyst typically collaborate with other departments to drive performance improvements?

Benchmarking Analysts frequently work cross-functionally, partnering with teams such as operations, finance, and quality assurance to collect data and compare organizational performance against industry standards. They facilitate workshops, share insights, and help identify actionable areas for improvement. This collaborative approach ensures that recommendations are tailored to each department's unique challenges and that initiatives are widely supported and successfully implemented.

What are the key skills and qualifications needed to thrive as a Benchmarking Analyst, and why are they important?

To thrive as a Benchmarking Analyst, you need strong analytical skills, attention to detail, and a background in business, statistics, or related fields. Familiarity with data analysis tools like Excel, SQL, or benchmarking software, as well as certifications such as Six Sigma, are often valuable. Excellent communication, critical thinking, and problem-solving abilities help you interpret data and present actionable insights to stakeholders. These skills are crucial for driving performance improvements and maintaining competitiveness by accurately comparing organizational practices against industry standards.

What jobs pay 2000 a day?

High-level consulting, executive coaching, and specialized freelance roles such as management consultants, financial advisors, or legal experts can earn around $2,000 per day. These positions typically require extensive experience, advanced skills, and often involve project-based or client-specific work. Compensation varies based on industry, location, and individual expertise.

What is the difference between Benchmarking vs Data Analyst?

AspectBenchmarkingData Analyst
Required credentialsOften requires business or industry-specific certifications, degrees in business, economics, or related fieldsTypically requires degrees in statistics, mathematics, or computer science; certifications like CAP or Microsoft Data Analyst
Work environmentPrimarily in corporate, manufacturing, or consulting settings focusing on performance comparisonIn various industries, working with data sets, reporting, and data visualization tools
Employer and industry usageUsed by organizations to improve processes by comparing against best practicesUsed across industries for data analysis, reporting, and decision-making support

While Benchmarking focuses on comparing organizational performance to industry standards, Data Analysts interpret data to inform business decisions. Both roles require analytical skills but serve different strategic purposes within organizations.

What is a benchmark job?

A benchmark job is a standard or reference position used by organizations to compare compensation, skills, and job requirements across similar roles. It helps in establishing pay scales and evaluating job market competitiveness, often requiring knowledge of industry standards and job analysis tools.

What is the best example of a benchmarked job?

A benchmarked job is one that has been compared against industry standards or best practices to determine appropriate compensation, skills, or performance levels. Examples include roles like software engineer or project manager, where salary ranges and responsibilities are often standardized through salary surveys and market analysis. Benchmarking helps organizations ensure competitive pay and effective role definitions.

What is benchmarking?

Benchmarking is the process of comparing a company's products, services, or processes against those of leading organizations in the industry or best practices from other industries. The goal is to identify areas where improvements can be made to increase efficiency, quality, or competitiveness. Benchmarking often involves collecting data, analyzing performance metrics, and implementing changes based on findings. This strategic approach helps organizations stay competitive and continuously improve their operations.
What are popular job titles related to Benchmarking jobs in Oregon? For Benchmarking jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Benchmarking jobs? Cities in Oregon with the most Benchmarking job openings:
Infographic showing various Benchmarking job openings in Oregon as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $84,991 per year, or $40.9 per hour.
Senior Machine Learning Engineer - Voice Experience

Senior Machine Learning Engineer - Voice Experience

Cresta

OR • On-site

$104K - $143K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

About the role

We are looking for a Senior Machine Learning Engineer, Voice Experience to help build the next generation of AI-powered voice systems for the contact center. In this role, you will work at the intersection of speech, language, and real-time production systems, improving how AI listens, understands, reasons, empathizes, and responds in live customer conversations. 

You will develop and improve machine learning systems that power voice experiences end to end, including automatic speech recognition, turn detection, downstream language understanding, retrieval-augmented and agentic workflows, quality measurement, text to speech, and production optimization. You will partner closely with applied researchers, product managers, designers, forward deployed engineers, and platform engineers to ensure model and system improvements translate into measurable customer and business impact.

This role is ideal for someone who is excited by both model quality and production reality: designing rigorous evaluation frameworks, analyzing failure modes, improving latency and robustness, and shipping systems that perform reliably at scale in real-time voice environments.

Responsibilities
  • Design, train, evaluate, and deploy machine learning systems that power real-time voice experiences, including ASR, speech understanding, turn detection, text to speech, speech to speech, classification, entity extraction, summarization, and structured insight generation.
  • Improve the quality of voice AI systems through error analysis, data curation, metric design, benchmarking, and iterative model improvement, with a strong focus on real-world performance.
  • Build evaluation frameworks for complex voice and agentic systems, measuring metrics such as accuracy, robustness, latency, faithfulness, naturalness, professionalism, task completion, and cost.
  • Diagnose and mitigate failure modes across the voice stack, including transcription errors, hallucinations, retrieval failures, tool misuse, prompt brittleness, context drift, and multi-step reasoning breakdowns.
  • Design and optimize low-latency ML workflows for live conversations, balancing model quality with system responsiveness, scalability, and reliability.
  • Partner with platform and backend engineers to productionize real-time inference, streaming pipelines, quality monitoring, and continuous model iteration.
  • Collaborate cross-functionally with product, design, frontend, and backend teams to integrate voice intelligence seamlessly into Cresta's platform.
  • Establish best practices for offline evaluation, online experimentation, model validation, observability, and ongoing quality monitoring in production.
  • Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta's voice AI systems.
Qualifications We Value
 
  • Bachelor's degree in Computer Science, Mathematics, Machine Learning, AI, or a related field; Master's or Ph.D. preferred.
  • 5+ years of experience building, evaluating, and deploying machine learning systems in production.
  • Strong background in one or more of the following: speech recognition, speech processing, NLP, generative AI, or conversational AI.
  • Deep experience with model evaluation, benchmarking, error analysis, and quality improvement for production ML systems.
  • Strong expertise with modern ML frameworks and tooling such as PyTorch, TensorFlow, and Hugging Face.
  • Solid understanding of transformer-based models, embeddings, retrieval systems, and large-scale training or inference workflows.
  • Experience designing and deploying real-time ML systems with strong requirements around latency, scalability, and reliability.
  • Experience building data pipelines and tooling for experimentation, measurement, and large-scale quality analysis.
  • Ability to work across research and engineering boundaries and translate promising ideas into production-grade systems.
  • Strong communication and technical leadership skills, with the ability to influence cross-functional decisions and raise the engineering bar.

Nice to Have

  • Hands-on experience with ASR quality metrics such as WER and task-level evaluation methodologies.
  • Experience with RAG systems, agentic workflows, multi-step reasoning systems, or LLM-as-a-judge evaluation methods.
  • Familiarity with streaming inference, real-time voice pipelines, or media systems.
  • Experience working closely with infrastructure or platform teams on production ML deployment, observability, and reliability.
  • Experience in contact center AI, conversational intelligence, or enterprise voice products. This last item is an inference from the business context of all three roles, rather than a directly stated qualification.

Perks & Benefits

We offer a comprehensive and people-first benefits package to support you at work and in life:

  • Comprehensive medical, dental, and vision coverage with plans to fit you and your family
  • Flexible PTO to take the time you need, when you need it
  • Paid parental leave for all new parents welcoming a new child
  • Retirement savings plan to help you plan for the future
  • Remote work setup budget to help you create a productive home office
  • Monthly wellness and communication stipend to keep you connected and balanced
  • In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta: 

Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $205,000-$270,000 + Offers Equity

This posting will be used to fill a newly-created role.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai