Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience in the broad application of one or more higher-level programming languages such as ...
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience in the broad application of one or more higher-level programming languages such as ...
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience in the broad application of one or more higher-level programming languages such as ...
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Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience in the broad application of one or more higher-level programming languages such as ...
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience in the broad application of one or more higher-level programming languages such as ...
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience in the broad application of one or more higher-level programming languages such as ...
About the Position We're looking for an experienced and skilled educator to help us teach people at Jane Street about machine learning. Machine learning is a critical pillar of Jane Street's global ...
About the Position We're looking for an experienced and skilled educator to help us teach people at Jane Street about machine learning. Machine learning is a critical pillar of Jane Street's global ...
Machine Learning Tutor
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Mid Level Machine Learning Teaching information
What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?
| Aspect | Mid Level Machine Learning Teaching | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, ML, or related; teaching experience | Bachelor's or Master's in CS, Data Science, or related; often requires experience |
| Work Environment | Educational institutions, online platforms, corporate training | Tech companies, finance, healthcare, research labs |
| Employer & Industry Usage | Educational and training sectors, universities, online education | Private sector, industry-specific applications, research |
| Common Search & Comparison Intent | Understanding teaching roles in ML, educational careers | Data analysis, modeling, industry applications |
Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

Job description
Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the opportunity to work on cutting-edge research in new and emerging fields.
Responsibilities:
- Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed.
- Implement, train, and validate proposed algorithms for specific problem domains.
- Contribute to the integration of algorithms within larger programmatic systems that require these capabilities.
- Collaborate with others in a multidisciplinary team environment to accomplish research goals.
- Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
- Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings.
- Travel as required to coordinate research with collaborators and visit field sites.
Requirements
- PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques.
- Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods).
- Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++.
- Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
- Proven ability to undertake original research and communicate findings in peer-reviewed publications.
- Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions.
- Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
Benefits
We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world.
If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.
About Applied Physics
Sourced by ZipRecruiter
Industry
Pharmaceutical and medicine manufacturing
Company size
1 - 10 Employees
Headquarters location
Alamosa, CO, US
Year founded
1992