Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The candidate will work with senior leadership and partner projects gaining broad internal and ...
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The candidate will work with senior leadership and partner projects gaining broad internal and ...
Machine Learning Engineer
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Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The candidate will work with senior leadership and partner projects gaining broad internal and ...
Machine Learning Engineer
Boston, MA · On-site
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The candidate will work with senior leadership and partner projects gaining broad internal and ...
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Senior Meta Machine Learning information
Is L7 senior at Google?
How much does L7 make at Meta?
What engineer makes $500,000 a year?
What is the difference between Senior Meta Machine Learning vs Data Scientist?
| Aspect | Senior Meta Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Master's or PhD in CS, ML, or related fields; experience with meta-learning frameworks | Bachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis |
| Work Environment | Research-focused teams developing advanced ML models, often in AI companies | Data analysis, modeling, and visualization across various industries |
| Employer & Industry Usage | Tech firms, AI startups, research institutions | Finance, healthcare, e-commerce, tech companies |
While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.
How much does a Meta senior machine learning engineer make?
- Machine Learning Manager
- Director Google Machine Learning Engineer
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- Staff Machine Learning Engineer
- Remote Machine Learning Ops Engineer
- Llm Evaluation
- Freelance Machine Learning Compiler Engineer
- Flexible Machine Learning
- Bayesian Networks
Full-time
Posted 9 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