ML Engineering Internship Opportunity with Ontra

6 days ago


San Francisco, California, United States Ontra Full time

About the Role

Ontra is seeking multiple Machine Learning (ML) engineering interns in our ML team. The internship is open to candidates based in or willing to relocate to major US cities, including San Francisco, Santa Barbara, and New York City. Full-time work from assigned office locations two days a week is expected.

We're looking for someone enthusiastic about leading innovative ML projects using GenAI and LLM models, collaborating with cross-functional teams, and driving product development with engineering excellence.

If you are skilled in ML fundamentals like probability, supervised/unsupervised learning, deep learning, and natural language processing, familiar with tools such as TensorFlow and Scikit-learn, experienced in working with distributed computing systems and cloud platforms like AWS or Azure, and proficient in a modern programming language like Python or Java, we'd love to get to know you.

Key Responsibilities:

  • Cross-Functional Collaboration: Engage with diverse teams like Product Management, Data Science, and App/Infra/Data/Quality Engineering to foster cohesive project development.
  • Project Specifications and Design: Participate in discussions and reviews to shape technical design, ensuring alignment with project goals.
  • Model Development and Deployment: Assist in developing, evaluating, and deploying ML models, followed by collecting feedback and performing model fine-tuning.
  • Coding and Testing: Contribute to writing and testing code, ensuring robustness and efficiency in ML solutions.
  • Mentorship and Learning: Work closely with a senior ML engineer and manager to gain insights and guidance throughout the internship experience.

Requirements:

  • Educational Background: You are currently enrolled in a degree-granting program at an accredited college or university and have completed at least the equivalent of 3 years of a Bachelors degree in Computer Science, Applied Mathematics, Statistics, or a related scientific field OR actively pursuing a Masters/PhD degree in one of those fields
  • Passion and Learning Agility: A quick learner with a strong interest in GenAI and Large Language Model (LLM) technology.
  • Collaboration and Communication: A team player with excellent collaboration and communication skills to effectively contribute to and learn from diverse teams.
  • Action-Oriented Approach: Demonstrates an action-oriented and results-driven mindset, motivated to achieve project outcomes efficiently.
  • Preferred Experience: Previous internship experience in Machine Learning Engineering is preferred.

Salary Range: We offer a competitive hourly rate of $60-$80 per hour, based on educational background and location, with opportunities for professional growth and development.


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