Machine Learning Engineering Intern
InCloudCounsel - San Francisco Bay Area, CA
posted 1 day ago
About the position
Ontra is seeking multiple 2025 summer Machine Learning (ML) engineering interns in our ML team. For this job, we are currently only hiring candidates based in or willing to relocate to San Francisco, Santa Barbara, or New York City. Relocation assistance will not be provided. Interns are expected to work from their assigned office location two days per week. We're looking for someone excited to lead innovative ML projects using GenAI and LLM models, collaborate with a knowledgeable MLE mentor and cross-functional teams, and drive product development with engineering excellence. If you are enthusiastic about Machine Learning Engineering, 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 such as Python or Java, we'd love to get to know you!
Responsibilities
- Engage with diverse teams like Product Management, Data Science, and App/Infra/Data/Quality Engineering to foster cohesive project development.
- Participate in discussions and reviews to shape technical design, ensuring alignment with project goals.
- Assist in developing, evaluating, and deploying ML models, followed by collecting feedback and performing model fine-tuning.
- Contribute to writing and testing code, ensuring robustness and efficiency in ML solutions.
- Work closely with a senior ML engineer and manager to gain insights and guidance throughout the internship experience.
Requirements
- 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 Bachelor's degree in Computer Science, Applied Mathematics, Statistics, or a related scientific field OR actively pursuing a Masters/PhD degree in one of those fields.
- Strong interest in GenAI and Large Language Model (LLM) technology.
- Excellent collaboration and communication skills to effectively contribute to and learn from diverse teams.
- Demonstrates an action-oriented and results-driven mindset, motivated to achieve project outcomes efficiently.
Nice-to-haves
- Previous internship experience in Machine Learning Engineering is preferred.
Benefits
- Hourly Base Pay Rates: Undergraduate: $52/hour USD, Masters: $65/hour USD, PhD: $78/hour USD
