Machine Learning Engineering Intern, Ontra

Summer 2025

Salary not provided

Hourly Base Pay Rates: Undergraduate: $52/hour USD. Masters: $65/hour USD. PhD: $78/hour USD

AWS

Python

Java

Tensorflow

Azure

Scikit-Learn

New York

San Francisco Bay Area

More information about location

2 days a week in office

AI-powered contract automation for private markets

Job no longer available

AI-powered contract automation for private markets

501-1000 employees

B2BArtificial IntelligenceEnterpriseLegalOutsourcing

Job no longer available

Salary not provided

Hourly Base Pay Rates: Undergraduate: $52/hour USD. Masters: $65/hour USD. PhD: $78/hour USD

AWS

Python

Java

Tensorflow

Azure

Scikit-Learn

New York

San Francisco Bay Area

More information about location

2 days a week in office

501-1000 employees

B2BArtificial IntelligenceEnterpriseLegalOutsourcing

Company mission

To clear the operational fog for GPs by transforming unstructured information into insight, action, and automation.

Job

Company

Role

Who you are

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
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

What the job involves

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!
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

Our take

The private markets have grown rapidly, but operational complexity and regulatory demands have grown too. Firms face high-volume legal work, compliance obligations, and fragmented workflows hat slow deal-making and fund management. Founded in 2014, Ontra offers AI solutions built specifically for these challenges.

Ontra combines AI with a global network of legal experts to turn complex, document-heavy processes into actionable intelligence. It automates contract review, obligation tracking, entity management, due diligence, and compliance workflows, reducing manual work and letting teams focus on higher-value decisions. And by providing accurate, industry-specific insights without requiring customers to configure AI models, Ontra has helped firms work more efficiently and with less risk.

Serving over 1,000 firms globally (including 9 of the top 10 private equity firms), Ontra has processed more than 2M documents and continues expanding its product suite. Recent launched include AI tools for credit management, due diligence questionnaires, and human-in0the-loop KYC services. Alongside this, it recently acquired some serious funding, putting it a might strong position going forward.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

81% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (2 rounds)

Oct 2021

$200m

SERIES B

Jan 2019

$40m

SERIES A

Total funding: $240m

Company benefits

Remote Flexibility: At Ontra, we’re invested in your success, and our total rewards package is designed to help you reach your full potential. Embrace our remote-first work environment with generous reimbursements for work-from-home equipment, coworking, phone, and internet.
Unlock Your Potential: Tap into opportunities for continuous learning, mentorship, and role-specific development through our learning platforms, industry conferences, employee resource groups, plus in-person and virtual company events.
Life Moments Covered: We’re here to support you when life happens. Whether it’s a vacation you’ve been looking forward to, a medical situation you need to take care of, a new addition to your family, or another important life moment, we’ve got you covered.

Company HQ

Union Square, San Francisco, CA

Leadership

Troy Pospisil

(Co-Founder & CEO)

Majored in Economics at NYU before joining Deloitte as a Management Consultant. Was an Investment Professional at H.I.G. Capital.

Ben Levi

(Co-Founder & COO)

Studied at Yale and Harvard Law School, and worked on Obama's 2008 campaign. Was an Associate at Kirkland & Ellis and founded Saas company Tembo.

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