Machine Learning Engineering Intern

About the Role

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!

What You’ll Do

• 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.

What You’ll Bring

• 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.

Eligibility

We are currently considering candidates with the following expected graduation dates: 

• Undergraduate programs: May 2025 through June 2026
• Graduate programs: Up to June 2027

Additionally, you must be available to work full-time throughout the duration of the internship program. 

Please note that you must be legally authorized to work in the U.S. for any employer and not require employment-based sponsorship now or in the future.

Pay Transparency

Ontra takes market research as well as individual candidate location, experience, and skills into consideration when determining compensation for our internship program. 

If you are selected to participate in our interview process, a member of our team will share more details about the total compensation package for the role, including benefits programs that may be available to participants of this internship program.

Hourly Base Pay Rates: 

• Undergraduate: $52/hour USD
• Masters: $65/hour USD
• PhD: $78/hour USD