Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...
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Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...
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Machine Learning Research Intern information
See Boston, MA salary details
$27.7K - $33.9K
5% of jobs
$35.9K is the 25th percentile. Wages below this are outliers.
$33.9K - $40K
59% of jobs
$40K - $46.2K
9% of jobs
$46.7K is the 75th percentile. Wages above this are outliers.
$46.2K - $52.4K
17% of jobs
$52.4K - $58.6K
4% of jobs
$58.6K - $64.7K
2% of jobs
$64.7K - $70.9K
3% of jobs
$70.9K - $77.1K
0% of jobs
$77.1K - $83.3K
0% of jobs
$83.3K - $89.4K
0% of jobs
$89.4K - $95.6K
0% of jobs
$27.7K
$46.3K
$95.6K
How much do machine learning research intern jobs pay per year?
What are the key skills and qualifications needed to thrive as a Machine Learning Research Intern, and why are they important?
What are some typical challenges faced by Machine Learning Research Interns during their projects?
What does a Machine Learning Research Intern do?

Full-time
Posted 18 days ago
Job description
Our mission is to deliver the undeliverable.
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Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial technical role in generating cell culture and transfection data. The candidate will work with senior leadership and partner projects gaining broad internal and external exposure.
Essential Functions and Duties
- Design and implement complex data engineering processes to support innovative data science modeling
- Collaborate with chemistry and biology research teams to design data pipelines, analyze experimental data and implement experimentally actionable feed-back loops
- Apply and deploy established and novel statistical and machine learning algorithms to explore, understand and optimize properties of the vast delivery vehicle space, both in silico and experimentally
- Develop robust, scalable workflows and maintain security controls to protect sensitive data across cloud and on-premise environments
- Coordinate with cross-functional teams to deploy models and communicate results and with a focus on computational efficiency, performance, and usability
- Design of repositories, CI/CD pipelines and integration tests for ML workflows
Qualifications
MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry, or a related discipline with 2 years hands-on machine learning experience.Â
Knowledge, Skills, and Abilities
- Track record developing statistical and machine learning models for complex and unconventional real-life problems
- Strong mathematical and coding skills
- Proficiency in Python, Â MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with SQL and AWS.
- Familiarity with ML workflow best practices.
- Interest in applications of machine learning in biotechnology
- Strong communication skills, both written and verbal
- Experience doing research and working with interdisciplinary teams
Additional Preferred Experience (desired, but not essential):
- Experience in an industry setting related to biotechnology, chemicals, or materials manufacturing
- Experience with cheminformatics, computational chemistry, computational biology databases, data structures, material science and modelling package
Computer and modeling work required, this is an on-site position based in the Seaport of Boston, MA.
About Nanite
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
11 - 50 Employees
Headquarters location
Boston, MA, US
Year founded
2020