$104K - $143K/yr
You will partner closely with applied researchers, product managers, designers, forward deployed ... Design, train, evaluate, and deploy machine learning systems that power real-time voice experiences ...
Senior Staff Machine Learning Scientist, Assets
OR · On-site +1
$91K - $124K/yr
... build, manage, and optimize high-performing web experiences that drive predictable growth and ... We're looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems ...
Senior Staff Machine Learning Scientist, Assets
OR · On-site +1
$91K - $124K/yr
... build, manage, and optimize high-performing web experiences that drive predictable growth and ... We're looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems ...
OR · On-site
Master's or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent ... managing multiple teams or leaders (e.g., senior manager, group lead, or equivalent). Deeply ...
Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team. This is a 50/50 player-coach role: you'll directly manage a small team of ML engineers while ...
Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team. This is a 50/50 player-coach role: you'll directly manage a small team of ML engineers while ...
Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team. This is a 50/50 player-coach role: you'll directly manage a small team of ML engineers while ...
Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team. This is a 50/50 player-coach role: you'll directly manage a small team of ML engineers while ...
OR · On-site
$55.75 - $73.75/hr
Senior Machine Learning Engineer, Data & Intelligence Products AcuityMD is a software and data ... Partner with product managers and cross-functional stakeholders to translate customer problems into ...
Establish and maintain data governance practices, including schema management, schema evolution ... with machine learning pipelines, preferably in an AWS environment * Applied problem solver ...
Establish and maintain data governance practices, including schema management, schema evolution ... with machine learning pipelines, preferably in an AWS environment * Applied problem solver ...
OR · On-site
$466K - $750K/yr
We are looking for an experienced Machine Learning Engineer with deep expertise in training and ... You will partner with a talented cross-functional team of scientists, engineers, product managers ...
Senior Machine Learning Engineer, MLOps West Coast
Portland, OR · On-site
$131K - $235K/yr
As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you ... You will report to a manager in the Model Delivery team within Autodesk Research. This role is ...
Senior Machine Learning Engineer, MLOps West Coast
Portland, OR · On-site
$131K - $235K/yr
As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you ... You will report to a manager in the Model Delivery team within Autodesk Research. This role is ...
$91K - $124K/yr
Overview As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will ... product managers and data scientists. Preferred Qualifications * Experience in ads ranking or ...
Senior Machine Learning Engineer, Computer Vision
Hood River, OR · On-site
$165K - $190K/yr
Label quality validation and dataset management * Data exploration for targeted labeling * Develop ... machine learning, with a focus on computer vision * B.S., M.S., or Ph.D. in Computer Science ...
Senior Machine Learning Engineer, Computer Vision
Hood River, OR · On-site
$165K - $190K/yr
Label quality validation and dataset management * Data exploration for targeted labeling * Develop ... machine learning, with a focus on computer vision * B.S., M.S., or Ph.D. in Computer Science ...
Senior Machine Learning Engineer, Computer Vision
Hood River, OR · On-site +1
$128K - $168K/yr
Label quality validation and dataset management * Data exploration for targeted labeling * Develop ... machine learning, with a focus on computer vision * B.S., M.S., or Ph.D. in Computer Science ...
Senior Machine Learning Engineer, Computer Vision
Hood River, OR · On-site +1
$128K - $168K/yr
Label quality validation and dataset management * Data exploration for targeted labeling * Develop ... machine learning, with a focus on computer vision * B.S., M.S., or Ph.D. in Computer Science ...
Staff Product Manager, Conversion ML
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To do so, we build Machine Learning technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the ...
Staff Product Manager, Conversion ML
OR · On-site +1
To do so, we build Machine Learning technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the ...
Senior Machine Learning Engineer, MLOps West Coast
$131K - $235K/yr
As a Senior Machine LearningEngineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you ... You will report to a manager in the Model Delivery team within Autodesk Research. This role is ...
Senior Machine Learning Engineer, MLOps West Coast
$131K - $235K/yr
As a Senior Machine LearningEngineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you ... You will report to a manager in the Model Delivery team within Autodesk Research. This role is ...
All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we're all about helping our ...
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Senior Manager, Privacy Engineering
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AI Solutions Architect
Portland, OR · On-site
$66.75 - $88/hr
... machine learning, automation, and data-driven Human Capital engagements • Developing account growth strategies, managing pipelines, supporting proposal development, and driving deal closure ...
AI Solutions Architect
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OR · On-site
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OR · On-site
$466K - $750K/yr
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Manager Spacex Machine Learning information
What is the difference between Manager Spacex Machine Learning vs Data Scientist Spacex?
| Aspect | Manager Spacex Machine Learning | Data Scientist Spacex |
|---|---|---|
| Credentials | Advanced degrees in CS, ML, or related fields; leadership experience | Degree in CS, Data Science, or related fields; strong analytical skills |
| Work Environment | Team leadership, project management, strategic planning | Data analysis, model development, experimentation |
| Industry Usage | Oversees ML teams, manages projects, aligns with business goals | Builds models, analyzes data, provides insights |
The main difference is that the Manager Spacex Machine Learning focuses on leading teams and managing ML projects, while the Data Scientist Spacex primarily develops models and analyzes data to support engineering and business decisions.
What are the most commonly searched types of Spacex Machine Learning jobs in Oregon? The most popular types of Spacex Machine Learning jobs in Oregon are:
$104K - $143K/yr
Other
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 28 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