$104K - $143K/yr
About the role We are looking for a Senior Machine Learning Engineer, Voice Experience to help ... Improve the quality of voice AI systems through error analysis, data curation, metric design ...
Machine Learning (ML) Engineer
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Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with ... Hands-on experience in training ML systems end-to-end from data curation to evaluation and ...
Machine Learning (ML) Engineer
OR · On-site +1
Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with ... Hands-on experience in training ML systems end-to-end from data curation to evaluation and ...
OR · On-site
As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering skills to create reliable, AI-powered products within a fast-paced product engineering environment.
OR · On-site
As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering skills to create reliable, AI-powered products within a fast-paced product engineering environment.
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Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This ... You will build multimodal AI systems that integrate imaging, molecular, and clinical data ...
Machine Learning Engineer
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Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... learning, data science, or AI engineering Strong programming skills in Python (NumPy, Pandas ...
Machine Learning Engineer
Portland, OR · On-site
Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... learning, data science, or AI engineering Strong programming skills in Python (NumPy, Pandas ...
Machine Learning Engineer
Portland, OR · On-site
... in machine learning, data science, or AI engineering • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and ...
Machine Learning Engineer
Portland, OR · On-site
... in machine learning, data science, or AI engineering • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and ...
... in machine learning, data science, or AI engineering • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and ...
Quick apply
... in machine learning, data science, or AI engineering • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and ...
... in machine learning, data science, or AI engineering • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and ...
... in machine learning, data science, or AI engineering • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and ...
Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Master's degree in Computer Science, Machine Learning, Data Science, or a related field. A Bachelor ...
Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Master's degree in Computer Science, Machine Learning, Data Science, or a related field. A Bachelor ...
OR · On-site
$104K - $143K/yr
As a Senior AI Engineer , you will collaborate with machine learning engineers, data engineers ... Experience with dataset engineering, including data curation, augmentation, and synthesis, to ...
OR · On-site
$104K - $143K/yr
As a Senior AI Engineer , you will collaborate with machine learning engineers, data engineers ... Experience with dataset engineering, including data curation, augmentation, and synthesis, to ...
Data Product Manager, Curation
OR · Remote
The Data Product Manager - Curation is responsible for designing and managing curated data products ... While machine learning and advanced analytics are longer-term areas of evolution, this role lays ...
Data Product Manager, Curation
OR · Remote
The Data Product Manager - Curation is responsible for designing and managing curated data products ... While machine learning and advanced analytics are longer-term areas of evolution, this role lays ...
OR · On-site
$122K - $161K/yr
Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with ... Hands-on experience in training ML systems end-to-end from data curation to evaluation and ...
Machine Learning Data Scientist
Lake Oswego, OR · On-site
$122K - $165K/yr
Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for ... machine learning models. * Proficiency in Python and SQL for data manipulation and algorithm ...
Machine Learning Data Scientist
Lake Oswego, OR · On-site
$122K - $165K/yr
Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for ... machine learning models. * Proficiency in Python and SQL for data manipulation and algorithm ...
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As a Staff ML/AI Platform Engineer at BetterHelp, you'll join a diverse team of licensed clinicians ... Experience in writing data pipeline and machine learning libraries and utilities * Willingness to ...
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As a Staff ML/AI Platform Engineer at BetterHelp, you'll join a diverse team of licensed clinicians ... Experience in writing data pipeline and machine learning libraries and utilities * Willingness to ...
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... AI and traditional machine learning to create best-in-class recommendations * We build rich product and knowledge graphs from catalog data imported from hundreds of retailers, applying them in ...
AI and Data Science Engineer III
Portland, OR · On-site +1
$121K - $145K/yr
Deliver governed datasets and feature engineering and serving patterns for machine learning ... You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ...
AI and Data Science Engineer III
Portland, OR · On-site +1
$121K - $145K/yr
Deliver governed datasets and feature engineering and serving patterns for machine learning ... You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Data Curation Ai Machine Learning information
What is a $900,000 AI job?
A $900,000 AI job typically refers to high-level roles in artificial intelligence and machine learning, such as senior data scientists, AI research directors, or machine learning executives. These positions often require advanced skills in data curation, model development, and experience with tools like Python, TensorFlow, or PyTorch, along with significant industry experience and leadership responsibilities.
What are the key skills and qualifications needed to thrive as a Data Curation AI Machine Learning Specialist, and why are they important?
To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.
What is a Data Curation AI/Machine Learning specialist?
A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.
What is an AI data curator?
An AI data curator is a professional responsible for collecting, organizing, and maintaining high-quality datasets used to train machine learning models. They ensure data accuracy, relevance, and compliance, often using tools like data annotation platforms and following data governance standards. This role requires strong attention to detail and knowledge of data management practices.
What is AI ML salary?
The salary for a Data Curation AI Machine Learning role varies based on experience, location, and company, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in data management, programming, and machine learning tools can earn higher salaries. Certifications and advanced degrees can also influence compensation levels.
Which 3 jobs will survive AI?
Data Curation and AI Machine Learning roles are expected to persist as they require specialized skills in managing data quality, developing algorithms, and understanding complex systems. Jobs involving creative thinking, strategic decision-making, and interpersonal skills, such as data scientists, AI specialists, and machine learning engineers, are also likely to remain in demand despite automation. Continuous learning and adapting to new tools like neural networks and deep learning frameworks will be essential for these roles.
What are some common challenges faced by data curation professionals working in AI and machine learning projects?
One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.
What is the difference between Data Curation Ai Machine Learning vs Data Analyst?
| Aspect | Data Curation Ai Machine Learning | Data Analyst |
|---|---|---|
| Primary Focus | Preparing and managing data for AI and ML models | Analyzing data to generate business insights |
| Skills Required | Data management, programming, understanding of AI/ML algorithms | Statistical analysis, data visualization, Excel, SQL |
| Tools Used | Python, R, SQL, data cleaning tools | Excel, Tableau, SQL, statistical software |
| Work Environment | Data science teams, AI/ML projects, tech companies | Business departments, analytics teams, consulting firms |
While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.
What are popular job titles related to Data Curation Ai Machine Learning jobs in Oregon? For Data Curation Ai Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Curation Ai Machine Learning jobs in Oregon look for? The top searched job categories for Data Curation Ai Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Data Curation Ai Machine Learning jobs? Cities in Oregon with the most Data Curation Ai Machine Learning job openings:
$104K - $143K/yr
Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted yesterday
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