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Internship German Machine Learning Jobs in Utah (NOW HIRING)

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

... internships, academic projects, or applied professional experience * Working knowledge of Python ... Machine Learning Frameworks #J-18808-Ljbffr

Veteran Jobs - 2023 Mar 01 - Veterans Resources

... GERMAN HEALTH SCIENCES HISTORY HUMAN DEV/FAMILY STUDIES HUMAN RESOURCE MANAGEMENT INFORMATION SCIENCE INFORMATION SECURITY LABOR AND HUMAN RELATIONS LIFE SCIENCES MACHINE LEARNING/NLP/AI MANAGEMENT ...

Filevine

Legal Research - Internship

Salt Lake City, UT · On-site +1

... machine learning systems extract from published legal materials. This role is ideal for law ... Why Complete An Internship at Filevine? * Gain hands-on experience working at the intersection of ...

Filevine

Legal Research - Internship

Salt Lake City, UT · On-site

... machine learning systems extract from published legal materials. This role is ideal for law ... Why Complete An Internship at Filevine? * Gain hands-on experience working at the intersection of ...

Williams International

Intern - Machining

Ogden, UT

$13.94/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

Williams International

Intern - Machining

Ogden, UT · On-site

$13.94/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

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All JobsGerman Machine Learning JobsInternship German Machine Learning JobsInternship German Machine Learning Jobs in Utah

Internship German Machine Learning information

What is an internship German machine learning?

An Internship German Machine Learning is a temporary training position typically offered by companies or research institutions in Germany, focusing on practical experience in machine learning. Interns work on real-world projects involving data analysis, algorithm development, and model implementation under supervision. These internships help students or recent graduates gain hands-on skills, industry exposure, and networking opportunities in the rapidly growing field of artificial intelligence and machine learning.

What types of projects can I expect to work on during a German machine learning internship?

As a German Machine Learning intern, you'll typically assist with real-world projects such as developing and testing machine learning models, preprocessing datasets, and supporting the implementation of AI solutions in both German and international contexts. You may also help with data analysis, model evaluation, and documentation, often collaborating with data scientists and engineers. These projects provide hands-on experience with industry-standard tools and workflows, helping you build practical skills and a strong professional network.

What are the key skills and qualifications needed to thrive as an internship German machine learning?

To thrive as an Internship German Machine Learning, you need a solid understanding of machine learning concepts, programming skills in Python, and progress toward a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries, as well as experience using version control systems like Git, is typically required. Strong analytical thinking, problem-solving ability, and effective communication—especially in both English and German—help you collaborate within diverse teams. These skills and qualifications are essential for successfully contributing to machine learning projects and adapting to the fast-evolving tech industry.

What is the difference between Internship German Machine Learning vs Data Scientist German?

AspectInternship German Machine LearningData Scientist German
Required CredentialsBasic programming, coursework in MLAdvanced degree in data science, statistics, or related
Work EnvironmentInternship setting, learning-focusedFull-time, project-driven
Industry UsageEntry-level roles, training programsProfessional roles, decision-making

Internship German Machine Learning positions are typically entry-level, focusing on learning and skill development, often requiring basic programming and coursework. Data Scientist German roles are more advanced, requiring higher education and experience, with responsibilities in analyzing data and building models. The internship provides a stepping stone into the data science field, while the data scientist role involves applying expertise to solve complex problems.

What are popular job titles related to Internship German Machine Learning jobs in Utah?

For Internship German Machine Learning jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Internship German Machine Learning jobs in Utah look for?

The top searched job categories for Internship German Machine Learning jobs in Utah are:

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Internship German Machine Learning jobs near you

Internship - Machine Learning Engineer

Smule

Salt Lake City, UT • On-site

$110 - $150/hr

Other

Re-posted 19 days ago

Job description

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.

About the Role:

We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in production at Smule, from training and optimization through deployment, monitoring, and iteration. You will work closely with research scientists to bring models off the bench and into scalable, reliable systems that serve millions of users. The ideal candidate is a strong engineer first, with deep practical knowledge of ML systems, a passion for reliability, and an eye for performance.

We strongly encourage candidates with non-traditional backgrounds to apply. If your path into ML engineering came through backend systems, DevOps, audio software, data engineering, or another field, we want to hear from you.

What You'll Be Doing:
  • Design, build, and maintain production ML pipelines encompassing data ingestion, feature engineering, model training, evaluation, and deployment.
  • Optimize models for production constraints including latency, throughput, memory footprint, and cost, using techniques such as quantization, distillation, pruning, and efficient serving architectures.
  • Implement robust monitoring, alerting, and observability for deployed models, covering data drift, prediction quality, and system health.
  • Collaborate with research scientists to integrate new model architectures and training techniques into production systems with minimal friction.
  • Build and improve CI/CD pipelines for ML, including automated testing, validation gates, and staged rollouts.
  • Manage compute infrastructure and costs, making informed tradeoffs between performance, reliability, and budget.
What We're Looking For:
  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Strong proficiency in Python and experience with deep learning serving (TorchServe, Triton, vLLM, or equivalent).
  • Solid understanding of systems engineering: networking, storage, containerization, orchestration, and monitoring.
  • Ability to reason about tradeoffs between latency, throughput, cost, and model quality.
Bonus Points For:
  • Experience serving large language models or other generative models at scale.
  • Familiarity with audio/music processing pipelines and real-time inference constraints.
  • Experience with Bayesian optimization, bandit algorithms, or adaptive experimentation platforms.
  • Contributions to open-source ML infrastructure projects.

Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.

We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.

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