2122 Computer Science Internship jobs in Lynn, MA

Manus Biosynthesis

Waltham, MA 02453

Experience using computational tools to improve enzyme activity and/or specificity
Proficiency in programming languages such as Python, R, or MATLAB
Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
Ph.D. in Bioengineering, Biochemistry, Biostatistics, Chemical Engineering, Computer Science, or similar discipline, ideally with a focus on AI driven techniques and deep learning
Excellent communication skills, both written and verbal

United Imaging Intelligence

Burlington, MA 01805

AstraZeneca

Boston, MA 02115

Demonstrated experience in building Computer Vision, AI models, with a sound understanding of a variety of statistical and machine learning methods and standard model development practices.
Strong communication skills: ability to present compelling cases to collaborators and operate dynamically to identify solutions. Ability to work effectively within a team.
Strong track record of publications in quality conferences and journals.
PhD in Bio-Medical/Electrical Engineering, or relevant discipline with 2 years of experience or Masters with over 5 years of experience in the industry working with a strong understanding of medical imaging physics, medical image reconstruction, medical image analysis, and state of the art computer-vision methods.
Practical software development skills in standard data science tools: Python, R with demonstrable knowledge of good coding practices.

Datalign Advisory, LLC.

Cambridge, MA 02139

Entrepreneurial mindset with willingness to experiment, iterate quickly and move from hypothesis to implementation to develop critical business solutions.
Experience putting machine learning solutions in production with modern ML platforms (e.g. AWS/GCP/Azure ML, MLflow, Kubeflow)
Deep understanding of machine learning algorithms, experiment design and statistical modeling and evaluation
MS with 6+ years of industry experience or PhD with 3+
The role is hybrid with 4 days a week in office in the Greater Boston area
Strong background in product analytics, classifiers, recommendation systems, and personalization algorithms
Expert-level proficiency in Python, SQL, and distributed computing frameworks.
Familiarity with A/B testing, product metrics and user behavior analytics
MS or PhD in Computer Science, Statistics, Mathematics, or related quantitative field