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Audio Machine Learning Intern Jobs in Oregon (NOW HIRING)

Dtna

Facilities Maintenance Technician Intern

Portland, OR · Hybrid

$29/hr

Inside the Role Interns will gain knowledge and experience through exciting and real-life learning ... This includes conducting machine inspections, cleaning equipment, lubricating machinery, completing ...

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Audio Machine Learning Intern information

What does an Audio Machine Learning Intern do?

An Audio Machine Learning Intern assists in developing and improving machine learning models that process and analyze audio data. Their tasks may include data preprocessing, feature extraction, model training, and evaluation for applications like speech recognition, sound classification, or music analysis. Interns often collaborate with engineers and researchers to experiment with new algorithms and optimize audio-based AI systems. This role provides hands-on experience in both audio signal processing and machine learning techniques.

What types of projects can an Audio Machine Learning Intern expect to work on during their internship?

As an Audio Machine Learning Intern, you can expect to be involved in projects such as developing and fine-tuning audio classification models, working on speech recognition algorithms, or improving the accuracy of sound event detection systems. You may also assist with the collection and preprocessing of audio datasets, as well as support model evaluation and optimization. Collaboration with data scientists, audio engineers, and software developers is common, offering a hands-on learning environment and exposure to end-to-end machine learning workflows in the audio domain.

What are the key skills and qualifications needed to thrive as an Audio Machine Learning Intern, and why are they important?

To thrive as an Audio Machine Learning Intern, you need a solid background in signal processing, machine learning fundamentals, and programming skills, often supported by coursework or research in computer science or electrical engineering. Familiarity with Python, TensorFlow or PyTorch, and audio processing libraries like Librosa is typically required. Creativity, problem-solving abilities, and strong collaboration skills help you stand out in this role. These skills are crucial for developing innovative audio solutions, interpreting complex data, and working effectively within research or product teams.

What is the difference between Audio Machine Learning Intern vs Audio Data Analyst?

AspectAudio Machine Learning InternAudio Data Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsDegree in Data Analysis, Statistics, or related fields; may have certifications in data tools
Work EnvironmentResearch labs, tech companies, or startups focusing on AI and audio techData-driven departments within media, entertainment, or tech companies
Employer & Industry UsageUsed in AI development, research projects, and product innovationUsed for analyzing audio data, improving user experience, and reporting

The Audio Machine Learning Intern focuses on developing models and algorithms for audio data, often in research or development settings. In contrast, the Audio Data Analyst primarily interprets audio data to generate insights and support decision-making. Both roles require familiarity with audio data, but the intern role emphasizes machine learning skills, while the analyst role centers on data analysis and reporting.

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

AI Fullstack Software Engineer-Intern

Teradata

Salem, OR • On-site

Other

Medical, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Our Internship Program

Our Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day.

Our company

Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

What You'll Do

At Teradata, we're not just managing data; we're unleashing its full potential. Our Teradata AI Studio platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of autonomous and agentic systems.

We're building intelligent systems that go far beyond automation - they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you'll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes.

You'll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software - from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems.

If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up.

Who You'll Work With

Imagine collaborating daily with some of the brightest minds in the company - individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Cloud platform. Your insights will directly shape the future of our intelligent data solutions.

You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions.

What Makes You a Qualified Candidate

  • Experience working with modern data platforms like Teradata, Snowflake, and Databricks

  • Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems.

  • You are an excellent full stack engineer who codes daily and owns systems end-to-end.

  • Build intuitive UI with user-friendly natural language interfaces (e.g., chatbots, AI assistants) to allow users to interact with the data platform using natural language queries.

  • Strong engineering background (Python/Java/Golang, API integration, backend frameworks)

  • Strong system design skills and understanding of distributed systems.

  • You're obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.

  • Hands-on experience with Machine learning & deep learning frameworks: TensorFlow, PyTorch, Scikit-learn

  • Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc.), and orchestration tools.

  • Experience with AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).

  • Solid understanding of model performance monitoring, drift detection, and responsible AI principles.

What You Bring

  • A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field - your academic foundation is key.

  • A genuine excitement for AI and large language models (LLMs) is a significant advantage - you'll be working at the cutting edge!

  • UI/UX Development: Proficiency in JavaScript frameworks (React.js, Vue.js, Angular) and CSS libraries (Bootstrap, Material-UI).

  • Design, develop, and deploy agentic systems integrated into the data platform.

  • 3+ years of experience in software architecture, backend systems, or AI infrastructure.

  • Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable.

  • Passion for building safe, human-aligned autonomous systems.

  • Experience in software development (Python, Go, or Java preferred).

  • Familiarity with backend service development, APIs, and distributed systems.

  • Interest or experience in LLMs, autonomous agents, or AI tooling.

  • Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.

  • Experience with AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).

  • Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes.

  • Integrate observability tooling (e.g., OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines.

  • Bonus: Research experience or contributions to open-source agentic frameworks.

  • You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions.

Pay Rate: $29.00 - $44.00 - $50.00 Hourly

Why We Think You'll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

#LI-SK1

Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs.

Pay Rate: 0.0000 - 0.0000 - 0.0000 Hourly

Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance. Employees in this position are eligible to participate in the Company's benefits programs, which generally include health care, life and disability insurance, retirement savings, and time-off programs. Benefit details vary by country and plan, including eligibility and available options, and will be shared during the hiring process. Additional information is available here: https://www.teradata.com/About-Us/Careers/Benefits

Employees in this position are also eligible to participate in the Company's comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: https://www.teradata.com/About-Us/Careers/Benefits

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