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Freelance Full Stack Machine Learning Engineer Jobs in Oregon

Cresta

OR · On-site

$104K - $143K/yr

About the role We are looking for a Senior Machine Learning Engineer, Voice Experience to help ... Diagnose and mitigate failure modes across the voice stack, including transcription errors ...

AcuityMD

OR · On-site

$122K - $161K/yr

Own the full model lifecycle: exploratory analysis, baseline modeling, experimentation, validation ... You are fluent in Python's data and ML stack and opinionated about your preferred approaches ...

Netflix

OR

$388K - $558K/yr

Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from ... We are seeking talented Full-Stack Engineers to join us in developing end-to-end solutions that ...

LTS

Full Stack Product Engineer

OR · On-site +1

LTS is seeking a Full-Stack Product Engineer to join a small, senior engineering team applying frontier AI to one of the most consequential legacy systems still running in production today. The ...

Cresta

OR

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

Nextdoor

OR

$205K - $355K/yr

... full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that ... engineers will use for years to come as we ramp up our effort to introduce machine learning into ...

EnGen

Full-Stack Software Engineer

OR · Remote

$120K - $150K/yr

Position Overview We're looking for a Full-Stack Software Engineer to help build the technology ... You'll develop and enhance our AI-powered learning platform using TypeScript/React on the frontend ...

Instacart

OR

$91K - $124K/yr

... or full-stack engineering. You will tackle fundamental challenges in pCTR modeling such as ... PhD/Master in machine learning, statistics, computer science, information retrieval, or a closely ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

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Freelance Full Stack Machine Learning Engineer information

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Oregon? The most popular types of Full Stack Machine Learning Engineer jobs in Oregon are:
What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in Oregon? For Freelance Full Stack Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Oregon look for? The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Oregon are:
What cities in Oregon are hiring for Freelance Full Stack Machine Learning Engineer jobs? Cities in Oregon with the most Freelance Full Stack Machine Learning Engineer job openings:
Freelance Full Stack Machine Learning Engineer jobs near you
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 3 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 

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