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 ...
61 Autodesk Machine Learning Intern Jobs Hiring Near You
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 ...
Autodesk Jobs Information
What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?
To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.
What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?
Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.
What does a Machine Learning Intern do?
A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.
What is the difference between Machine Learning Intern vs Data Science Intern?
| Aspect | Machine Learning Intern | Data Science Intern |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworks | Usually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills |
| Work Environment | Tech companies, research labs, startups focusing on AI/ML projects | Business, finance, healthcare, and tech sectors analyzing data for insights |
| Employer & Industry Usage | Used in companies developing AI products, research institutions, tech startups | Common in organizations requiring data analysis, reporting, and decision-making support |
While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.
What is it like to work at Autodesk?
Autodesk is a company that values innovation, creativity, and collaboration, fostering a culture that encourages employees to think outside the box and push the boundaries of technology.
The company has a diverse range of teams, including software developers, designers, and engineers, working together to create cutting-edge products and solutions for industries such as architecture, engineering, and construction. Autodesk's offices often feature open workspaces, collaborative areas, and access to the latest technology, allowing employees to work efficiently and effectively.
Working at Autodesk may appeal to candidates who are passionate about technology, design, and innovation, and who are looking for a dynamic and challenging work environment that offers opportunities for growth and development in a rapidly evolving industry.
The company has a diverse range of teams, including software developers, designers, and engineers, working together to create cutting-edge products and solutions for industries such as architecture, engineering, and construction. Autodesk's offices often feature open workspaces, collaborative areas, and access to the latest technology, allowing employees to work efficiently and effectively.
Working at Autodesk may appeal to candidates who are passionate about technology, design, and innovation, and who are looking for a dynamic and challenging work environment that offers opportunities for growth and development in a rapidly evolving industry.
What other companies are hiring for Machine Learning Intern jobs?
What are the most popular jobs at Autodesk?
What are the most popular categories at Autodesk?
Job description
Summary 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