Engineering
Engineering
Engineering
Engineering
Machine Learning (ML) Intern
Machine Learning (ML) Intern
Machine Learning (ML) Intern
Machine Learning (ML) Intern
Remote
/
Permanent
Remote
/
Permanent
Remote
/
Permanent
Remote
/
Permanent
Internship Terms
Duration: 4 months
Eligibility: Open to undergraduate or graduate students in accredited programs, with expected graduation dates between 2024 through 2026.
Program Requirements: Candidates must meet any specific internship requirements set by their university.
Full-Time Commitment: This role is part of our Co-Op Program. Candidates must be available to work full-time for either Cohort A (May - Aug 2024) or Cohort B (Sep - Dec 2024).
About myUniMate
myUniMate is an early-stage pioneering student engagement platform designed to redefine the college journey. We believe the student should be at the core of every experience. myUniMate is challenging the limits of generative AI and machine learning, for students to maximize the academic, social, and career aspects of their university adventure!
We are seeking enthusiastic individuals who are motivated by ambitious goals to fulfill our mission. Ideal candidates thrive in a startup atmosphere, where challenging and unsolved problems are abundant. We value team members who are keen to learn, grow, and engage in collaborative efforts.
Role Overview
As an ML Intern, you'll play a crucial role in developing AI-driven solutions, working alongside our team of skilled engineers and data scientists to create technologies that will transform the college student experience.
Key Responsibilities
Aid in developing and refining machine learning models.
Participate in the development of machine vision standards and software architecture.
Utilize Python for machine learning to process and analyze complex datasets.
Test and optimize models for accuracy and efficiency.
Engage in code reviews, demonstrating best practices in coding and maintaining code quality.
Use version control tools like Git in a collaborative environment.
Qualifications
Pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Data Science, or related field at an accredited university.
Familiarity with deep learning frameworks (e.g. PyTorch)
Knowledge of distributed training techniques (e.g. DeepSpeed, FSDP) or LLM inference latency optimization techniques (e.g. kernel fusion, quantization, dynamic batching)
Exposure to Python, Docker, Kubernetes, and infrastructure as code (e.g. terraform)
Familiarity with GitLab CI/CD pipelines and 3rd party cloud platforms.
Understanding of machine learning algorithms and principles.
Benefits
Real-world experience in a fast-paced start-up environment.
Exposure to advanced technologies in AI and ML.
Mentorship from industry professionals.
Potential bridge to a permanent role post-graduation.
Why You'll Love Working with Us
Work on cutting-edge AI technologies that redefine the student experience.
Collaborate with a passionate team dedicated to innovation and excellence.
Contribute to a platform that has a significant impact on students' university journey.
Internship Terms
Duration: 4 months
Eligibility: Open to undergraduate or graduate students in accredited programs, with expected graduation dates between 2024 through 2026.
Program Requirements: Candidates must meet any specific internship requirements set by their university.
Full-Time Commitment: This role is part of our Co-Op Program. Candidates must be available to work full-time for either Cohort A (May - Aug 2024) or Cohort B (Sep - Dec 2024).
About myUniMate
myUniMate is an early-stage pioneering student engagement platform designed to redefine the college journey. We believe the student should be at the core of every experience. myUniMate is challenging the limits of generative AI and machine learning, for students to maximize the academic, social, and career aspects of their university adventure!
We are seeking enthusiastic individuals who are motivated by ambitious goals to fulfill our mission. Ideal candidates thrive in a startup atmosphere, where challenging and unsolved problems are abundant. We value team members who are keen to learn, grow, and engage in collaborative efforts.
Role Overview
As an ML Intern, you'll play a crucial role in developing AI-driven solutions, working alongside our team of skilled engineers and data scientists to create technologies that will transform the college student experience.
Key Responsibilities
Aid in developing and refining machine learning models.
Participate in the development of machine vision standards and software architecture.
Utilize Python for machine learning to process and analyze complex datasets.
Test and optimize models for accuracy and efficiency.
Engage in code reviews, demonstrating best practices in coding and maintaining code quality.
Use version control tools like Git in a collaborative environment.
Qualifications
Pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Data Science, or related field at an accredited university.
Familiarity with deep learning frameworks (e.g. PyTorch)
Knowledge of distributed training techniques (e.g. DeepSpeed, FSDP) or LLM inference latency optimization techniques (e.g. kernel fusion, quantization, dynamic batching)
Exposure to Python, Docker, Kubernetes, and infrastructure as code (e.g. terraform)
Familiarity with GitLab CI/CD pipelines and 3rd party cloud platforms.
Understanding of machine learning algorithms and principles.
Benefits
Real-world experience in a fast-paced start-up environment.
Exposure to advanced technologies in AI and ML.
Mentorship from industry professionals.
Potential bridge to a permanent role post-graduation.
Why You'll Love Working with Us
Work on cutting-edge AI technologies that redefine the student experience.
Collaborate with a passionate team dedicated to innovation and excellence.
Contribute to a platform that has a significant impact on students' university journey.
Internship Terms
Duration: 4 months
Eligibility: Open to undergraduate or graduate students in accredited programs, with expected graduation dates between 2024 through 2026.
Program Requirements: Candidates must meet any specific internship requirements set by their university.
Full-Time Commitment: This role is part of our Co-Op Program. Candidates must be available to work full-time for either Cohort A (May - Aug 2024) or Cohort B (Sep - Dec 2024).
About myUniMate
myUniMate is an early-stage pioneering student engagement platform designed to redefine the college journey. We believe the student should be at the core of every experience. myUniMate is challenging the limits of generative AI and machine learning, for students to maximize the academic, social, and career aspects of their university adventure!
We are seeking enthusiastic individuals who are motivated by ambitious goals to fulfill our mission. Ideal candidates thrive in a startup atmosphere, where challenging and unsolved problems are abundant. We value team members who are keen to learn, grow, and engage in collaborative efforts.
Role Overview
As an ML Intern, you'll play a crucial role in developing AI-driven solutions, working alongside our team of skilled engineers and data scientists to create technologies that will transform the college student experience.
Key Responsibilities
Aid in developing and refining machine learning models.
Participate in the development of machine vision standards and software architecture.
Utilize Python for machine learning to process and analyze complex datasets.
Test and optimize models for accuracy and efficiency.
Engage in code reviews, demonstrating best practices in coding and maintaining code quality.
Use version control tools like Git in a collaborative environment.
Qualifications
Pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Data Science, or related field at an accredited university.
Familiarity with deep learning frameworks (e.g. PyTorch)
Knowledge of distributed training techniques (e.g. DeepSpeed, FSDP) or LLM inference latency optimization techniques (e.g. kernel fusion, quantization, dynamic batching)
Exposure to Python, Docker, Kubernetes, and infrastructure as code (e.g. terraform)
Familiarity with GitLab CI/CD pipelines and 3rd party cloud platforms.
Understanding of machine learning algorithms and principles.
Benefits
Real-world experience in a fast-paced start-up environment.
Exposure to advanced technologies in AI and ML.
Mentorship from industry professionals.
Potential bridge to a permanent role post-graduation.
Why You'll Love Working with Us
Work on cutting-edge AI technologies that redefine the student experience.
Collaborate with a passionate team dedicated to innovation and excellence.
Contribute to a platform that has a significant impact on students' university journey.
Internship Terms
Duration: 4 months
Eligibility: Open to undergraduate or graduate students in accredited programs, with expected graduation dates between 2024 through 2026.
Program Requirements: Candidates must meet any specific internship requirements set by their university.
Full-Time Commitment: This role is part of our Co-Op Program. Candidates must be available to work full-time for either Cohort A (May - Aug 2024) or Cohort B (Sep - Dec 2024).
About myUniMate
myUniMate is an early-stage pioneering student engagement platform designed to redefine the college journey. We believe the student should be at the core of every experience. myUniMate is challenging the limits of generative AI and machine learning, for students to maximize the academic, social, and career aspects of their university adventure!
We are seeking enthusiastic individuals who are motivated by ambitious goals to fulfill our mission. Ideal candidates thrive in a startup atmosphere, where challenging and unsolved problems are abundant. We value team members who are keen to learn, grow, and engage in collaborative efforts.
Role Overview
As an ML Intern, you'll play a crucial role in developing AI-driven solutions, working alongside our team of skilled engineers and data scientists to create technologies that will transform the college student experience.
Key Responsibilities
Aid in developing and refining machine learning models.
Participate in the development of machine vision standards and software architecture.
Utilize Python for machine learning to process and analyze complex datasets.
Test and optimize models for accuracy and efficiency.
Engage in code reviews, demonstrating best practices in coding and maintaining code quality.
Use version control tools like Git in a collaborative environment.
Qualifications
Pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Data Science, or related field at an accredited university.
Familiarity with deep learning frameworks (e.g. PyTorch)
Knowledge of distributed training techniques (e.g. DeepSpeed, FSDP) or LLM inference latency optimization techniques (e.g. kernel fusion, quantization, dynamic batching)
Exposure to Python, Docker, Kubernetes, and infrastructure as code (e.g. terraform)
Familiarity with GitLab CI/CD pipelines and 3rd party cloud platforms.
Understanding of machine learning algorithms and principles.
Benefits
Real-world experience in a fast-paced start-up environment.
Exposure to advanced technologies in AI and ML.
Mentorship from industry professionals.
Potential bridge to a permanent role post-graduation.
Why You'll Love Working with Us
Work on cutting-edge AI technologies that redefine the student experience.
Collaborate with a passionate team dedicated to innovation and excellence.
Contribute to a platform that has a significant impact on students' university journey.
How to apply
Please submit your resume to our email address, including the job title in the subject line. We'll be in touch soon to discuss next steps.