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Machine Learning Developer Intern information
See Daly City, CA salary details
$29.5K - $36.1K
5% of jobs
$38.3K is the 25th percentile. Wages below this are outliers.
$36.1K - $42.7K
59% of jobs
$42.7K - $49.3K
9% of jobs
$49.8K is the 75th percentile. Wages above this are outliers.
$49.3K - $55.9K
17% of jobs
$55.9K - $62.5K
4% of jobs
$62.5K - $69K
2% of jobs
$69K - $75.6K
3% of jobs
$75.6K - $82.2K
0% of jobs
$82.2K - $88.8K
0% of jobs
$88.8K - $95.4K
0% of jobs
$95.4K - $102K
0% of jobs
$29.5K
$49.3K
$102K
How much do machine learning developer intern jobs pay per year?
How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?
What does a Machine Learning Developer Intern do?
What are the key skills and qualifications needed to thrive as a Machine Learning Developer Intern, and why are they important?
What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?
| Aspect | Machine Learning Developer Intern | Data Scientist Intern |
|---|---|---|
| Required Credentials | Typically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or Java | Similar educational background; strong skills in statistics, programming, and data analysis |
| Work Environment | Hands-on experience with ML models, algorithms, and software development in tech or research settings | Data analysis, visualization, and interpretation in business or research contexts |
| Employer & Industry Usage | Tech companies, startups, research labs focusing on AI/ML projects | Business, finance, healthcare, and research organizations analyzing large datasets |
Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.
Job description
Team Description:
The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI).Â
Job Description and Responsibilities:
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.
Required Qualifications:
- Evidence in delivering high-impact projects either in academia or industry
- Prior experience designing and building Machine Learning models
- Deep understanding of machine learning concepts and fundamentals
- Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
- Excellent communication and collaboration skills
- Strong coding skills, with a focus on clean, efficient, and scalable code development
Preferred Qualifications:
- Experience working with time series or unstructured data
Expected Compensation:
The anticipated hourly rate for this position is listed below.
About NEURALINK
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
201 - 500 Employees
Headquarters location
San Francisco, CA, US
Year founded
2016