ZipRecruiter

Log In

1

Machine Learning Manager Jobs in Oregon (NOW HIRING)

Cresta

OR

$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 ...

Numerator

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

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 ...

AcuityMD

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 ...

Netflix

OR

$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 ...

Instacart

OR

$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 ...

Liftoff

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 ...

Upstart

Senior Manager, Privacy Engineering

OR · On-site +1

$100K - $128K/yr

The team works across Engineering, Security, Legal, Compliance, Product, Data, and Machine Learning ... As the Senior Manager, Privacy Engineering at Upstart, you will lead the team responsible for ...

Netflix

OR

$400K - $640K/yr

We are seeking a Product Manager with strong understanding of machine learning and expertise in AI innovation and technology to lead strategic initiatives that will transform our internal tools and ...

Logistics Management Institute

The ML Ops Engineer will work at the intersection of advanced AI/ML development, machine learning system deployment, and mission-critical applications, ensuring end-to-end lifecycle management of AI ...

Corvel

Data Scientist II

Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms * Perform model validation, testing, and documentation to ensure quality and ...

Netflix

OR

$466K - $750K/yr

... Managers, Engineers, and Sales stakeholders to identify where AI can drive the most impact - and ... machine learning to help sellers work smarter, close more deals, and scale Ads revenue without ...

Netflix

OR

$466K - $750K/yr

You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests.

Deloitte

AI Solutions Architect

Portland, OR

$66.75 - $88/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

next page

Showing results 1-20

All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Oregon

Machine Learning Manager information

See Oregon salary details

$53.9K

$86.4K

$124.8K

How much do machine learning manager jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning manager in Oregon is $86,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $97,800.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Oregon? The most popular types of Machine Learning jobs in Oregon are:
What are popular job titles related to Machine Learning Manager jobs in Oregon? For Machine Learning Manager jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Oregon look for? The top searched job categories for Machine Learning Manager jobs in Oregon are:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $86,389 per year, or $41.5 per hour.
Senior Machine Learning Engineer - Voice Experience

Senior Machine Learning Engineer - Voice Experience

Cresta

OR

$104K - $143K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 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 

Apply