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Applied Machine Learning Intern Jobs in Oregon (NOW HIRING)

Cresta

OR

$104.40K - $143.40K/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 ...

Netflix

OR · On-site

$466K - $750K/yr

Establish the technical standards for how ML capabilities are applied across game domains. Who Will Succeed in This Role: * Ph.D. in Computer Science, Machine Learning, or a related quantitative ...

Netflix

OR

$466K - $750K/yr

Establish the technical standards for how ML capabilities are applied across game domains. Who Will Succeed in This Role: Ph.D in Computer Science, Machine Learning, or a related quantitative field ...

Nvidia

OR · On-site

$15 - $20/hr

We are looking for a Quantum Error Correction Research Scientist Intern to develop automated, high ... Integrating various classical machine learning methods for identifying high-performance code ...

Fuze Health

OR

As a Applied Scientist, you will lead the end-to-end development of advanced machine learning solutions, guiding initiatives from ideation through production, and mentoring peers across the ...

Zillow

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

As a Principal Machine Learning Engineer on the Agentic AI team, you will: * Leverage frameworks ... Serve as the focal point for applied science projects, driving alignment on timelines, and ...

Vectara

OR

$122.40K - $161.30K/yr

... applied Artificial Intelligence (AI) to solve real-world technology and business problems today ... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.

eNett

OR

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ... You are a highly motivated researcher with a passion for applying cutting-edge AI, Machine Learning ...

WEX

OR

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ... You are a highly motivated researcher with a passion for applying cutting-edge AI, Machine Learning ...

Intel

AI Software Engineering Intern

Hillsboro, OR

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... applied research, and hardware software integration. May also include the creation of AI software ...

Nvidia

OR · On-site

$122.40K - $161.30K/yr

Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI. * Collaborate with world-class engineers to shape next-generation compiler ...

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Applied Machine Learning Intern information

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What are popular job titles related to Applied Machine Learning Intern jobs in Oregon? For Applied Machine Learning Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Applied Machine Learning Intern jobs in Oregon look for? The top searched job categories for Applied Machine Learning Intern jobs in Oregon are:
What cities in Oregon are hiring for Applied Machine Learning Intern jobs? Cities in Oregon with the most Applied Machine Learning Intern job openings:
Applied Machine Learning Intern jobs near you
Senior Machine Learning Engineer - Voice Experience

Senior Machine Learning Engineer - Voice Experience

Cresta

$104.40K - $143.40K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 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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