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Intern Ai Model Training information
What are the key skills and qualifications needed to thrive as an Intern in AI Model Training, and why are they important?
What types of tasks can I expect to work on as an AI Model Training Intern?
What does an Intern AI Model Training do?
What is the difference between Intern Ai Model Training vs Data Analyst Intern?
| Aspect | Intern Ai Model Training | Data Analyst Intern |
|---|---|---|
| Required Skills | Basic programming, machine learning fundamentals, data preprocessing | Data analysis, Excel, SQL, statistical understanding |
| Work Environment | AI development teams, tech companies, research labs | Business teams, finance, marketing, tech firms |
| Certifications | Intro to Machine Learning, Python programming | Data analysis, Excel, SQL certifications |
Intern Ai Model Training focuses on developing and training machine learning models, requiring programming and AI fundamentals. Data Analyst Interns analyze data sets to generate insights, emphasizing statistical and analytical skills. Both roles are common in tech and data-driven industries but differ in technical focus and daily tasks.

Job description
Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Machine Learning Audio Intern to take on a critical role to enhance our AI Model for Turkey Gobble Synthesis.
Syntiant Corp. is seeking a turkey gobble detector AED model that runs on NDP chips. It is difficult to collect good quality gobble data due to several logistical issues. As of now, only ~2K samples are available for training such a model. These samples are not enough to train a production quality turkey gobble model.
EcoGen is a neural network model that could generate synthetic but real-sounding bird sounds. It needs only a handful of recordings to synthesize similar sounds. The idea is to leverage this model to get more data for training a better turkey gobble detector AEDmodel. For details on EcoGen, please refer to the hyperlink provided. There are newer models such as BirdDiff, Audio LDM (Text-to-Turkey), Perch 2.0 etc.
Requirements
Specific Duties and Responsibilities:
- Understanding the model architecture.
- Running it locally or on the cluster.
- Fine-tuning the model on the available turkey sounds.
- Synthesizing real-sounding artificial turkey gobble sounds.
- Explore better alternatives and pursue them.
Qualifications, Education, and Experience Required:
- Candidate pursuing a Bachelor's or Master's degree in Computer Science or related field with hands-on experience in AI/ML model training.
- Industry work experience is not required, but it would be good to have.
Benefits
About Syntiant:
Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company's purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.
About Syntiant
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
Irvine, CA, US
Year founded
2017