Machine Learning Engineering Intern, Ontra
Summer 2025
Hourly Base Pay Rates: Undergraduate: $52/hour USD. Masters: $65/hour USD. PhD: $78/hour USD
More information about location
2 days a week in office
Contract Automation and Intelligence for asset management firms
Be an early applicant
Contract Automation and Intelligence for asset management firms
201-500 employees
Be an early applicant
Hourly Base Pay Rates: Undergraduate: $52/hour USD. Masters: $65/hour USD. PhD: $78/hour USD
More information about location
2 days a week in office
201-500 employees
Company mission
To change the way legal services are delivered to enterprises.
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
High-volume legal work can be a drag for large enterprises, who end up straining their internal resources or their bottom line as they outsource the work. Ontra (previously InCloudCounsel) slides in as a solution to this problem by pairing businesses with a network of freelance corporate lawyers to manage their routine legal work in a more cost-effective way.
In addition to enterprises, the company is an attractive proposition for lawyers who want a more flexible working life than Big Law can usually offer. Ontra attempts to avoid direct confrontation with Big Law by focusing more on routine work and document management tasks.
Following Ontra's healthy investment, the company has made some pretty big strategic moves - mainly driving product growth, onboarding top people onto its Board of Directors team and acquiring smaller companies like FundFormer and Captain to improve its product capabilities.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Oct 2021
$200m
SERIES B
Jan 2019
$40m
SERIES A
Total funding: $240m
Company benefits
- Competitive salary
- Opportunity to participate in one of Ontra’s unit-based compensation programs
- Medical, dental, and vision insurance base plans at no additional cost
- Employer-sponsored retirement plans
- Hybrid/remote work flexibility & WFH budget (equivalent of $1K USD)
- Annual professional development stipend (equivalent of $2K USD)
- 4 months of parental leave (52 weeks for UK employees)
- Unlimited vacation
- Twice-weekly lunch perk
- And much more!
Company values
- Respect - We believe in candid, empathetic communication at all times.
- Accountability - We follow through on commitments to ourselves and each other.
- Improvement - We innovate the way that we work and the products/services we deliver.
- Openness - We encourage transparency with our team, customers, and partners.
- Results - We expect productivity over activity.
Company HQ
Union Square, San Francisco, CA
Articles
Leadership
Troy Pospisil
(CEO)Majored in Economics at NYU before joining Deloitte as a Management Consultant. Was an Investment Professional at H.I.G. Capital.
Ben Levi
(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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 15 more jobs at Ontra